Trevor Darrell

发表

Alex Pentland, Trevor Darrell, A. Pentland, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Robust estimation of a multi-layered motion representation

A. Pentland, Trevor Darrell, 1991, Proceedings of the IEEE Workshop on Visual Motion.

Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, ArXiv.

Caffe: Convolutional Architecture for Fast Feature Embedding

Trevor Darrell, Jeff Donahue, Sergio Guadarrama, 2014, ACM Multimedia.

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Trevor Darrell, Jeff Donahue, Ross B. Girshick, 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Sequence to Sequence -- Video to Text

Trevor Darrell, Marcus Rohrbach, Kate Saenko, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning

Trevor Darrell, Pieter Abbeel, Sanjay Krishnan, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Grounding spatial relations for human-robot interaction

Dan Klein, Trevor Darrell, Pieter Abbeel, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Instance Segmentation by Interaction

Jitendra Malik, Sergey Levine, Trevor Darrell, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Deformable part models are convolutional neural networks

Jitendra Malik, Forrest N. Iandola, Trevor Darrell, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Do Convnets Learn Correspondence?

Trevor Darrell, Ning Zhang, Jonathan Long, 2014, NIPS.

Parametrized shape models for clothing

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE International Conference on Robotics and Automation.

Nearest-Neighbor Searching and Metric Space Dimensions

Trevor Darrell, P. Indyk, Gregory Shakhnarovich, 2006 .

End-to-End Training of Deep Visuomotor Policies pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, J. Mach. Learn. Res..

Fully Convolutional Networks for Semantic Segmentation

Trevor Darrell, Jonathan Long, Evan Shelhamer, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparselet Models for Efficient Multiclass Object Detection

Trevor Darrell, Mario Fritz, Ross B. Girshick, 2012, ECCV.

Don ' t Look Back : Post-hoc Category Detection via Sparse Reconstruction

Hyun Oh Song, Mario Fritz, Trevor Darrell, 2012 .

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Trevor Darrell, Marc'Aurelio Ranzato, Ning Zhang, 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Part-Based R-CNNs for Fine-Grained Category Detection pdf

Trevor Darrell, Jeff Donahue, Ning Zhang, 2014, ECCV.

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids pdf

Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer, 2014, ArXiv.

Adapting Visual Category Models to New Domains

Trevor Darrell, Mario Fritz, Kate Saenko, 2010, ECCV.

Open-vocabulary Object Retrieval

Trevor Darrell, Kate Saenko, Jeff Donahue, 2014, Robotics: Science and Systems.

Deep Layer Aggregation

Trevor Darrell, Fisher Yu, Dequan Wang, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning modular neural network policies for multi-task and multi-robot transfer

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Pyramid Match Kernels: Discriminative Classification with Sets of Image Features (version 2)

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2006 .

Curiosity-Driven Exploration by Self-Supervised Prediction

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Long-term recurrent convolutional networks for visual recognition and description

Trevor Darrell, Marcus Rohrbach, Kate Saenko, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Jitendra Malik, Trevor Darrell, Jeff Donahue, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recognizing Image Style pdf

Trevor Darrell, Aaron Hertzmann, Sergey Karayev, 2013, BMVC.

Deep spatial autoencoders for visuomotor learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

The pyramid match kernel: discriminative classification with sets of image features

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

LSDA: Large Scale Detection through Adaptation

Trevor Darrell, Ronghang Hu, Kate Saenko, 2014, NIPS.

From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach

Trevor Darrell, Kate Saenko, Jeff Donahue, 2014 .

Hidden Conditional Random Fields

Trevor Darrell, Louis-Philippe Morency, Ariadna Quattoni, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes pdf

Thomas L. Griffiths, Sergey Levine, Trevor Darrell, 2018, ICLR.

Deep Domain Confusion: Maximizing for Domain Invariance pdf

Trevor Darrell, Kate Saenko, Ning Zhang, 2014, CVPR 2014.

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction

Forrest N. Iandola, Trevor Darrell, Ning Zhang, 2013, 2013 IEEE International Conference on Computer Vision.

What you saw is not what you get: Domain adaptation using asymmetric kernel transforms

Trevor Darrell, Kate Saenko, Brian Kulis, 2011, CVPR 2011.

Efficient Learning of Domain-invariant Image Representations pdf

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, ICLR.

Transfer learning for image classification with sparse prototype representations

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Fast pose estimation with parameter-sensitive hashing

Trevor Darrell, Paul A. Viola, Gregory Shakhnarovich, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

DenseNet : Implementing Efficient ConvNet Descriptor Pyramids Technical Report

Forrest N. Iandola, Ross B. Girshick, Trevor Darrell, 2014 .

A geometric approach to robotic laundry folding

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2012, Int. J. Robotics Res..

Context Encoders: Feature Learning by Inpainting

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Rank priors for continuous non-linear dimensionality reduction

Trevor Darrell, R. Urtasun, Andreas Geiger, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Hidden Conditional Random Fields for Gesture Recognition

Trevor Darrell, Louis-Philippe Morency, Ariadna Quattoni, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Hidden-state Conditional Random Fields

Trevor Darrell, M. Collins, A. Quattoni, 2006 .

Simultaneous Deep Transfer Across Domains and Tasks

Trevor Darrell, Kate Saenko, Judy Hoffman, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition

Trevor Darrell, Kate Saenko, Raymond J. Mooney, 2013, 2013 IEEE International Conference on Computer Vision.

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

Sergey Levine, Trevor Darrell, Kate Saenko, 2015, WAFR.

Pfinder: real-time tracking of the human body

Alex Pentland, Trevor Darrell, Ali Azarbayejani, 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

An efficient projection for l 1 , infinity regularization.

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, ICML 2009.

Pfinder: Real-Time Tracking of the Human Body

Alex Pentland, Trevor Darrell, Ali Azarbayejani, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Deep Mixture of Experts via Shallow Embedding

Trevor Darrell, Xin Wang, Fisher Yu, 2018, UAI.

Nearest-Neighbor Methods in Learning and Vision

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2008, IEEE Trans. Neural Networks.

The Pyramid Match Kernel: Efficient Learning with Sets of Features

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2007, J. Mach. Learn. Res..

Beyond spatial pyramids: Receptive field learning for pooled image features

Trevor Darrell, Yangqing Jia, Chang Huang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Neural Module Networks

Dan Klein, Trevor Darrell, Marcus Rohrbach, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Loss is its own Reward: Self-Supervision for Reinforcement Learning pdf

Trevor Darrell, Max Argus, Evan Shelhamer, 2016, ICLR.

Large-Scale Study of Curiosity-Driven Learning pdf

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2018, ICLR.

Practical 3-D Object detection using category and instance-level appearance models

Trevor Darrell, Mario Fritz, Kate Saenko, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A category-level 3-D object dataset: Putting the Kinect to work

Jonathan T. Barron, Trevor Darrell, Mario Fritz, 2011, ICCV Workshops.

Learning cross-modality similarity for multinomial data

Trevor Darrell, Yangqing Jia, Mathieu Salzmann, 2011, 2011 International Conference on Computer Vision.

On learning to localize objects with minimal supervision

Zaïd Harchaoui, Trevor Darrell, Julien Mairal, 2014, ICML.

Topologically-constrained latent variable models

David J. Fleet, Neil D. Lawrence, Trevor Darrell, 2008, ICML '08.

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees pdf

Yuandong Tian, Trevor Darrell, Yuanzhi Li, 2018, ICLR.

Latent-Dynamic Discriminative Models for Continuous Gesture Recognition

Trevor Darrell, Louis-Philippe Morency, Ariadna Quattoni, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Data-dependent Initializations of Convolutional Neural Networks pdf

Trevor Darrell, Jeff Donahue, Carl Doersch, 2015, ICLR.

Pose pooling kernels for sub-category recognition

Trevor Darrell, Ning Zhang, Ryan Farrell, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation

Trevor Darrell, D. Demirdjian, 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

Learning to Segment Every Thing

Trevor Darrell, Ronghang Hu, Kaiming He, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Head gestures for perceptual interfaces: The role of context in improving recognition

Trevor Darrell, Louis-Philippe Morency, Candace L. Sidner, 2007, Artif. Intell..

Learning with Recursive Perceptual Representations

Trevor Darrell, Li Deng, Oriol Vinyals, 2012, NIPS.

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning

Trevor Darrell, Kate Saenko, Deepak Pathak, 2016, J. Mach. Learn. Res..

A category-level 3-D object dataset: Putting the Kinect to work

Jonathan T. Barron, Trevor Darrell, Mario Fritz, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Trevor Darrell, Deepak Pathak, Philipp Krähenbühl, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance

Larry S. Davis, Trevor Darrell, Ning Zhang, 2011, 2011 International Conference on Computer Vision.

Conditional Random Fields for Object Recognition

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2004, NIPS.

One-Shot Adaptation of Supervised Deep Convolutional Models pdf

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, ICLR.

Anytime Recognition of Objects and Scenes

Trevor Darrell, Mario Fritz, Sergey Karayev, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Sparse probabilistic regression for activity-independent human pose inference

Trevor Darrell, Raquel Urtasun, Trevor Darrell, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Generating Visual Explanations

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2016, ECCV.

Integrated Person Tracking Using Stereo, Color, and Pattern Detection

Trevor Darrell, Michael Harville, Gaile G. Gordon, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Efficient image matching with distributions of local invariant features

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Toward Multimodal Image-to-Image Translation

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2017, NIPS.

Inferring 3D structure with a statistical image-based shape model

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Face Recognition from Long-Term Observations

Trevor Darrell, John W. Fisher, Gregory Shakhnarovich, 2002, ECCV.

Autotagging Facebook: Social network context improves photo annotation

Trevor Darrell, Todd E. Zickler, Zak Stone, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

End-to-End Learning of Driving Models from Large-Scale Video Datasets

Yang Gao, Trevor Darrell, Fisher Yu, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Factorized Latent Spaces with Structured Sparsity

Trevor Darrell, Yangqing Jia, Mathieu Salzmann, 2010, NIPS.

Approximate Correspondences in High Dimensions

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2006, NIPS.

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

Eric P. Xing, Trevor Darrell, Zhuang Liu, 2020, 2003.05438.

The BDD-Nexar Collective : A Large-Scale , Crowsourced , Dataset of Driving Scenes Vashisht Madhavan

Trevor Darrell, Vashisht Madhavan, 2017 .

Visual speech recognition with loosely synchronized feature streams

Trevor Darrell, James R. Glass, Kate Saenko, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Gesture + Play Exploring Full-Body Navigation for Virtual Environments

Konrad Tollmar, Trevor Darrell, David Demirdjian, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Learning with Side Information through Modality Hallucination

Trevor Darrell, Saurabh Gupta, Judy Hoffman, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

for Recent Trends in 3 D Computer Vision Learning with Side Information through Modality Hallucination

Trevor Darrell, Judy Hoffman, Saurabh Gupta, 2016 .

An Efficient Projection for l 1 , ∞ Regularization

Trevor Darrell, A. Quattoni, 2009 .

Fast contour matching using approximate earth mover's distance

Trevor Darrell, K. Grauman, 2004, CVPR 2004.

Generalized Sparselet Models for Real-Time Multiclass Object Recognition

Trevor Darrell, Ross B. Girshick, Pedro F. Felzenszwalb, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Uncertainty-guided Continual Learning with Bayesian Neural Networks pdf

Trevor Darrell, Marcus Rohrbach, Mohamed Elhoseiny, 2019, ICLR.

SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting

Afshin Dehghan, Trevor Darrell, Michael J. Witbrock, 2012, TRECVID.

Pfinder: real-time tracking of the human body

Alex Pentland, Trevor Darrell, Christopher R. Wren, 1996, Other Conferences.

Size Matters: Metric Visual Search Constraints from Monocular Metadata

Trevor Darrell, Mario Fritz, Kate Saenko, 2010, NIPS.

Quantification in-the-wild: data-sets and baselines pdf

Trevor Darrell, Judy Hoffman, Oscar Beijbom, 2015, ArXiv.

Recovering Articulated Model Topology from Observed Motion

Trevor Darrell, L. Taycher, John W. Fisher III, 2002 .

Transferring Visual Category Models to New Domains

Trevor Darrell, Mario Fritz, Kate Saenko, 2010 .

Factorized Multi-Modal Topic Model pdf

Trevor Darrell, Seppo Virtanen, Yangqing Jia, 2012, UAI.

Pose estimation using 3D view-based eigenspaces

Trevor Darrell, Louis-Philippe Morency, Patrik Sundberg, 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

Bayesian Localized Multiple Kernel Learning

Trevor Darrell, R. Urtasun, Mario Christoudias, 2009 .

Learning a Precedence Effect-Like Weighting Function for the Generalized Cross-Correlation Framework

Trevor Darrell, Kevin W. Wilson, Trevor Darrell, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Privacy in Context

Trevor Darrell, Mark S. Ackerman, Daniel J. Weitzner, 2001, Hum. Comput. Interact..

Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space

Neil D. Lawrence, Trevor Darrell, Raquel Urtasun, 2008 .

Speaker association with signal-level audiovisual fusion

Trevor Darrell, John W. Fisher, Trevor Darrell, 2004, IEEE Transactions on Multimedia.

Fast contour matching using approximate earth mover's distance

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Activity Zones for Context-Aware Computing

Konrad Tollmar, Trevor Darrell, Kimberle Koile, 2003, UbiComp.

Women also Snowboard: Overcoming Bias in Captioning Models

Trevor Darrell, Anna Rohrbach, Lisa Anne Hendricks, 2018, ECCV.

'Nulling' filters and the separation of transparent motions

Trevor Darrell, Eero Peter Simonecelli, Trevor Darrell, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Active Gesture Recognition using Learned Visual Attention

Alex Pentland, Trevor Darrell, A. Pentland, 1995, NIPS.

Attention-driven Expression and Gesture Analysis in an Interactive Environment

A. Pentland, Trevor Darrell, 1995 .

Reducing drift in parametric motion tracking

Trevor Darrell, A. Rahimi, Louis-Philippe Morency, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Tracking with Non-Linear Dynamic Models

Trevor Darrell, 2002 .

Active face tracking and pose estimation in an interactive room

Trevor Darrell, Baback Moghaddam, Alex P. Pentland, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

An efficient projection for l1, ∞ regularization

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, ICML '09.

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics pdf

Trevor Darrell, Shiry Ginosar, Hanbyul Joo, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning appearance manifolds from video

Trevor Darrell, Benjamin Recht, Ali Rahimi, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Rethinking the Value of Network Pruning pdf

Mingjie Sun, Trevor Darrell, Gao Huang, 2018, ICLR.

Cross-modal adaptation for RGB-D detection

Trevor Darrell, Saurabh Gupta, Sergio Guadarrama, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Unsupervised Learning of Categories from Sets of Partially Matching Image Features

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Learning Joint Statistical Models for Audio-Visual Fusion and Segregation

Trevor Darrell, Paul A. Viola, John W. Fisher, 2000, NIPS.

Gradient-free Policy Architecture Search and Adaptation

Trevor Darrell, Anna Rohrbach, Sayna Ebrahimi, 2017, CoRL.

Learning object color models from multi-view constraints

Trevor Darrell, Kate Saenko, Ying Xiong, 2011, CVPR 2011.

Natural Language Object Retrieval

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Using robotic exploratory procedures to learn the meaning of haptic adjectives

Trevor Darrell, Vivian Chu, Craig G. McDonald, 2013, 2013 IEEE International Conference on Robotics and Automation.

Contextual recognition of head gestures

Trevor Darrell, Louis-Philippe Morency, Candace L. Sidner, 2005, ICMI '05.

Plan-view trajectory estimation with dense stereo background models

Trevor Darrell, Pedro F. Felzenszwalb, David Demirdjian, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Interactive adaptation of real-time object detectors

Trevor Darrell, Kate Saenko, Erik Rodner, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Can you fool AI with adversarial examples on a visual Turing test? pdf

Trevor Darrell, Dawn Xiaodong Song, Chang Liu, 2017, ArXiv.

Robust Change Captioning

Trevor Darrell, Anna Rohrbach, Dong Huk Park, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Simultaneous Deep Transfer Across Domains and Tasks

Trevor Darrell, Kate Saenko, Judy Hoffman, 2015, ICCV.

Robotic learning of haptic adjectives through physical interaction

Trevor Darrell, Vivian Chu, Craig G. McDonald, 2015, Robotics Auton. Syst..

Adaptive Mean Shift Based Clustering in High Dimensions

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

An Additive Latent Feature Model for Transparent Object Recognition

Trevor Darrell, Mario Fritz, Gary R. Bradski, 2009, NIPS.

Best Practices for Fine-Tuning Visual Classifiers to New Domains

Trevor Darrell, Judy Hoffman, Vashisht Madhavan, 2016, ECCV Workshops.

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies

Thomas L. Griffiths, Trevor Darrell, Joshua T. Abbott, 2013, NIPS.

Timely Object Recognition

Trevor Darrell, Mario Fritz, Sergey Karayev, 2012, NIPS.

Heavy-tailed Distances for Gradient Based Image Descriptors

Trevor Darrell, Yangqing Jia, Yangqing Jia, 2011, NIPS.

A picture is worth a thousand keywords: image-based object search on a mobile platform

Konrad Tollmar, Trevor Darrell, Kristen Grauman, 2005, CHI Extended Abstracts.

Adaptive view-based appearance models

Trevor Darrell, Louis-Philippe Morency, Ali Rahimi, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Deep Object-Centric Representations for Generalizable Robot Learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Multimodal location estimation

Trevor Darrell, Gerald Friedland, Oriol Vinyals, 2010, ACM Multimedia.

Perception for the manipulation of socks

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

3-D articulated pose tracking for untethered diectic reference

Trevor Darrell, David Demirdjian, Trevor Darrell, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Continuous Manifold Based Adaptation for Evolving Visual Domains

Trevor Darrell, Kate Saenko, Judy Hoffman, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Integrated Person Tracking Using Stereo, Color, and Pattern Detection

Trevor Darrell, Michael Harville, Gaile G. Gordon, 2000, International Journal of Computer Vision.

Face recognition with image sets using manifold density divergence

Trevor Darrell, John Fisher, Gregory Shakhnarovich, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Co-training with noisy perceptual observations

Trevor Darrell, R. Urtasun, C. M. Christoudias, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Depth from focus using a pyramid architecture

Trevor Darrell, Kwangyoen Wohn, Trevor Darrell, 1990, Pattern Recognit. Lett..

A novel environment for situated vision and behavior

Trevor Darrell, Pattie Maes, Bruce Blumberg, 1994 .

Cooperative Robust Estimation Using Layers of Support

Alex Pentland, Trevor Darrell, A. Pentland, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Separation of transparent motion into layers using velocity-tuned mechanisms

Eero P. Simoncelli, Trevor Darrell, 1994 .

Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences

Trevor Darrell, Kristen Grauman, Trevor Darrell, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

The NBNN kernel

Trevor Darrell, Mario Fritz, Kate Saenko, 2011, 2011 International Conference on Computer Vision.

Unsupervised Domain Adaptation through Self-Supervision pdf

Alexei A. Efros, Trevor Darrell, Eric Tzeng, 2019, ArXiv.

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2019, NeurIPS.

Navigating in virtual environments using a vision-based interface

Konrad Tollmar, Trevor Darrell, David Demirdjian, 2004, NordiCHI '04.

Factorized Orthogonal Latent Spaces

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010, AISTATS.

Unsupervised Learning of Visual Sense Models for Polysemous Words

Trevor Darrell, Kate Saenko, Trevor Darrell, 2008, NIPS.

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Trevor Darrell, Zeynep Akata, Edgar Schönfeld, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Tracking People with a Sparse Network of Bearing Sensors

Trevor Darrell, Ali Rahimi, Brian Dunagan, 2004, ECCV.

On the use of "nulling" filters to separate transparent motions

Trevor Darrell, Eero P. Simoncelli, Trevor Darrell, 1993, CVPR 1993.

Evaluating look-to-talk: a gaze-aware interface in a collaborative environment

Harold Fox, Krzysztof Z. Gajos, Trevor Darrell, 2002, CHI Extended Abstracts.

Unsupervised feature selection via distributed coding for multi-view object recognition

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Explainable Neural Computation via Stack Neural Module Networks

Trevor Darrell, Ronghang Hu, Jacob Andreas, 2018, ECCV.

The ALIVE system: full-body interaction with autonomous agents

Alex Pentland, Trevor Darrell, Bruce Blumberg, 1995, Proceedings Computer Animation'95.

Visual Discovery at Pinterest

Trevor Darrell, Jeff Donahue, Eric Tzeng, 2017, WWW.

Communal Cuts : sharing cuts across images

Trevor Darrell, Evan Shelhamer, S. Jegelka, 2014 .

FOLS : Factorized Orthogonal Latent Spaces

Trevor Darrell, R. Urtasun, M. Salzmann, 2010 .

3D pose tracking with linear depth and brightness constraints

Trevor Darrell, Michael Harville, Ali Rahimi, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Simple range cameras based on focal error

Alex Pentland, Trevor Darrell, Bernd Girod, 1994 .

Toward Large-Scale Face Recognition Using Social Network Context

Trevor Darrell, Todd E. Zickler, Zak Stone, 2010, Proceedings of the IEEE.

Compact Bilinear Pooling

Yang Gao, Trevor Darrell, Ning Zhang, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Regularization Matters in Policy Optimization

Trevor Darrell, Zhuang Liu, Xuanlin Li, 2019, ArXiv.

Towards Practical Robot Manipulation using Relational Reinforcement Learning

Trevor Darrell, Pulkit Agrawal, A. Jabri, 2019 .

Learning Canonical Representations for Scene Graph to Image Generation

Trevor Darrell, Gal Chechik, Amir Globerson, 2019, ECCV.

T-2 T-1 T Frame Input Image Region Proposals Monocular 3 D Estimation Deep Association Multi-frame Refinement

Trevor Darrell, Min Sun, Philipp Krähenbühl, 2018 .

Visual Attention Emerges from Recurrent Sparse Reconstruction

Yale Song, Trevor Darrell, Neel Joshi, 2022, 2204.10962.

Rethinking Image Mixture for Unsupervised Visual Representation Learning pdf

Trevor Darrell, Zhiqiang Shen, Marios Savvides, 2020, ArXiv.

UvA-DARE ( Digital Academic Repository ) Textual Explanations for Self-Driving Vehicles

Trevor Darrell, J. Canny, Zeynep Akata, 2018 .

Anytime Dense Prediction with Confidence Adaptivity

Zhuang Liu, Trevor Darrell, Evan Shelhamer, 2021, ICLR.

Teachable Reinforcement Learning via Advice Distillation

P. Abbeel, Trevor Darrell, Jacob Andreas, 2022, NeurIPS.

Contrastive Test-Time Adaptation

Trevor Darrell, Dian Chen, Sayna Ebrahimi, 2022, ArXiv.

Fighting Copycat Agents in Behavioral Cloning from Multiple Observations

Trevor Darrell, Dinesh Jayaraman, Yang Gao, 2020 .

Step 1 : Update Estimated Prototypes Step 2 : Update Feature Extractor Estimated Prototypes Labeled Source Labeled Target Unlabeled Target Class

Trevor Darrell, S. Sclaroff, Kate Saenko, 2019 .

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding pdf

Trevor Darrell, Marcus Rohrbach, Anna Rohrbach, 2016, EMNLP.

Fully Test-time Adaptation by Entropy Minimization

Trevor Darrell, B. Olshausen, Evan Shelhamer, 2020, ArXiv.

A novel image-based tool to reunite children with their families after disasters.

Trevor Darrell, L. Kalish, Sarita Chung, 2012, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

1 Dialogue Context for Visual Feedback Recognition

Trevor Darrell, C. Sidner, Louis-Philippe Morency, 2007 .

Towards Context-Based Visual Feedback Recognition for Embodied Agents

Trevor Darrell, C. Sidner, Louis-Philippe Morency, 2005 .

Fast contour matching using approximate earth mover's distance

Trevor Darrell, K. Grauman, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Object Recognition with Latent Conditional Random Fields by Ariadna Quattoni

Trevor Darrell, M. Collins, A. Quattoni, 2005 .

Deformable Part Models are Convolutional Neural Networks Tech report

Forrest N. Iandola, Ross B. Girshick, Trevor Darrell, 2014 .

Constraining human body tracking

Trevor Darrell, Teresa Ko, David Demirdjian, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

A New Meta-Baseline for Few-Shot Learning

Trevor Darrell, Zhuang Liu, Huijuan Xu, 2020, ArXiv.

Chapter 5.2 – A Geometric Approach to Robotic Laundry Folding1

Trevor Darrell, Mario Fritz, Ken Goldberg, 2015 .

Rendering articulated figures from examples

Trevor Darrell, 1999, Proceedings IEEE Workshop on Multi-View Modeling and Analysis of Visual Scenes (MVIEW'99).

Hybrid rigid and non-rigid image-based modeling of articulated figures

Aaron Hertzmann, Trevor Darrell, 1998 .

Conditional Networks for Few-Shot Semantic Segmentation

Alexei A. Efros, Sergey Levine, Trevor Darrell, 2018, ICLR.

Bayesian Articulated Tracking Using Single Frame Pose Sampling

Trevor Darrell, L. Taycher, Leonid Taycher, 2003 .

Tracking people with integrated stereo, color, and face detection.

Trevor Darrell, G. Gordon, M. Harville, 1998 .

Unsupervised Domain Adaptation

Alexei A. Efros, Trevor Darrell, Eric Tzeng, 2019 .

The Berkeley 3D Object Dataset

Jitendra Malik, Trevor Darrell, Pieter Abbeel, 2012 .

Integrated face and gait recognition from multiple views

Trevor Darrell, Gregory Shakhnarovich, Lily Lee, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Deep learning for tactile understanding from visual and haptic data

Yang Gao, Trevor Darrell, Katherine J. Kuchenbecker, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

New in-situ training image and one-shot detection model without adaptation GENETIM detection model for synset bottle

Trevor Darrell, Kate Saenko, E. Rodner, 2014 .

Team SRI-Sarnoff's AURORA System @ TRECVID 2011

James Allan, Hui Cheng, Mubarak Shah, 2012, TRECVID.

Extended Abstract: Concept Acquisition Through Meta-Learning

Joshua T. Abbott, Joshua C. Peterson, S. Levine, 2017 .

IDEIXIS --- IMAGE-BASED DEIXIS FOR RECOGNIZING

Trevor Darrell, Pei-Hsiu Yeh, 2014 .

Object Recognition using Locality Sensitive Hashing of Shape Contexts

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

A novel environment for situated vision and behavior

Alex Pentland, Trevor Darrell, Pattie Maes, 1994 .

Weakly-Supervised Trajectory Segmentation for Learning Reusable Skills

Trevor Darrell, Deepak Pathak, Parsa Mahmoudieh, 2019 .

Artificial Intelligence and Statistics Conference

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010 .

Uncertainty-guided Lifelong Learning in Bayesian Networks

Trevor Darrell, Marcus Rohrbach, Mohamed Elhoseiny, 2018 .

Parameter-Sensitive Hashing for Fast Pose Estimation

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

Fully convolutional networks for semantic segmentation

Trevor Darrell, Evan Shelhamer, Jonathan Long, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Introduction to the CVIU special issue on "Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection"

Vincent Lepetit, Trevor Darrell, Frédéric Jurie, 2015, Comput. Vis. Image Underst..

New Results - Visual recognition in images

Cordelia Schmid, Trevor Darrell, C. V. Jawahar, 2013 .

Long-term recurrent convolutional networks for visual recognition and description

Lisa Anne Hendricks, Trevor Darrell, Jeff Donahue, 2015, CVPR.

Integrated descriptions for vision

Trevor Darrell, Trevor Darrell, 1990 .

Computer Science and Artificial Intelligence Laboratory Nonlinear Latent Variable Models for Video Sequences

Trevor Darrell, A. Rahimi, B. Recht, 2005 .

Visual perception of human bodies and faces for multi-modal interfaces

Alex Pentland, Trevor Darrell, A. Pentland, 1994, ICSLP.

Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation

Trevor Darrell, Anna Rohrbach, Giscard Biamby, 2021, NAACL.

Proceedings of the 5th International Conference on Multimodal Interfaces, ICMI 2003, Vancouver, British Columbia, Canada, November 5-7, 2003

Wolfgang Wahlster, Mark T. Maybury, Trevor Darrell, 2003, ICMI.

Modeling and Interactive Animation of Facial Expression using Vision

Irfan Essa, Alex Pentland, Trevor Darrell, 1994 .

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

Trevor Darrell, Marcus Rohrbach, Joseph E. Gonzalez, 2022, ArXiv.

Learning Embeddings for Fast Approximate Nearest Neighbor Retrieval

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Trevor Darrell, Matt Gardner, Anna Rohrbach, 2022, ACL.

Range Segmentation Using Visibility Constraints

Trevor Darrell, L. Taycher, Leonid Taycher, 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

PSFIG - A DITROFF Preprocessor for Postscript Figures

Trevor Darrell, Ned Batchelder, Trevor Darrell, 1987, USENIX Summer.

The Ratio Method for Multiview Color Constancy

Todd E. Zickler, Trevor Darrell, Kate Saenko, 2011 .

Design and Implementation of a Visuo-Haptic Data Acquisition System for Robotic Learning of Surface Properties

Lisa Anne Hendricks, K. J. Kuchenbecker, Trevor Darrell, 2016 .

Voxel-informed Language Grounding

Trevor Darrell, D. Klein, Rodolfo Corona, 2022, Annual Meeting of the Association for Computational Linguistics.

Long-term recurrent convolutional networks for visual recognition and description

Lisa Anne Hendricks, Trevor Darrell, Jeff Donahue, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

MULTIMODAL INTERFACES THAT Flex, Adapt, and Persist

Trevor Darrell, Myron Flickner, Sharon Oviatt, 2004 .

Visual Attention Emerges from Recurrent Sparse Reconstruction

Trevor Darrell, Neel Joshi, Xin Wang, 2022, ICML.

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

Trevor Darrell, A. Globerson, Gal Chechik, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ICMI'03: Fifth International Conference on Multimodal Interfaces: Preface

Wolfgang Wahlster, Mark T. Maybury, Trevor Darrell, 2003 .

Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency

Alexei A. Efros, Trevor Darrell, E. Shechtman, 2017, NIPS 2017.

sing Interpolated Views

Alex Pentland, Trevor Darrell, A. Essa, 1996 .

Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image

Trevor Darrell, Angjoo Kanazawa, Sayna Ebrahimi, 2022, ICLR.

General Examination on Technical Area : Recognizing human activity in audio / visual scenes

Trevor Darrell, Nitin Sawhney, 2022 .

Knowledge-Guided Self-Supervised Vision Transformers for Medical Imaging

Trevor Darrell, K. Keutzer, Joseph E. Gonzalez, 2022 .

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens

Trevor Darrell, A. Globerson, Anna Rohrbach, 2022, ArXiv.

Composable Semi-parametric Modelling for Long-range Motion Generation

Bingbing Ni, Trevor Darrell, Xiaokang Yang, 2019 .

Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition

Trevor Darrell, Deepak Pathak, Sayna Ebrahimi, 2019, DGS@ICLR.

Proceedings of the 6th International Conference on Multimodal Interfaces, ICMI 2004, State College, PA, USA, October 13-15, 2004

Mary P. Harper, Trevor Darrell, Rajeev Sharma, 2004, ICMI.

Adversarial Discriminative Domain Adaptation (workshop extended abstract)

Trevor Darrell, Kate Saenko, Judy Hoffman, 2017, ICLR.

Information-theoretic fusion for multimodal interfaces

Trevor Darrell, John W. Fisher, Trevor Darrell, 2002 .

Corrigendum to "Robotic learning of haptic adjectives through physical interaction" [Robot. Auton. Syst. 63 (P3) (2015) 279-292]

Trevor Darrell, Vivian Chu, Craig G. McDonald, 2016, Robotics Auton. Syst..

Learning Rich Image Representation with Deep Layer Aggregation

Trevor Darrell, Fisher Yu, Dequan Wang, 2018, ICLR.

Meta-Learning to Guide Segmentation

Alexei A. Efros, Sergey Levine, Trevor Darrell, 2018 .

An efficient projection for {\it l}$_{\mbox{1}}$,$_{\mbox{infinity}}$ regularization

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2009, International Conference on Machine Learning.

Blurring Structure and Learning to Optimize and Adapt Receptive Fields

Trevor Darrell, Evan Shelhamer, Dequan Wang, 2019 .

Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning

Trevor Darrell, Zeynep Akata, Sayna Ebrahimi, 2019 .

Back to the Source: Diffusion-Driven Test-Time Adaptation

Trevor Darrell, Evan Shelhamer, Dequan Wang, 2022, ArXiv.

Disentangled Action Recognition with Knowledge Bases

Trevor Darrell, Huijuan Xu, Keizo Kato, 2022, NAACL.

Exposing the Limits of Video-Text Models through Contrast Sets

Yejin Choi, Ali Farhadi, Trevor Darrell, 2022, NAACL.

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

Trevor Darrell, Marcus Rohrbach, Joseph E. Gonzalez, 2022, ArXiv.

Studying Bias in GANs through the Lens of Race

Alexei A. Efros, Trevor Darrell, Angjoo Kanazawa, 2022, 2209.02836.

TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency

Trevor Darrell, C. Schmid, Chen Sun, 2022, ECCV.

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA

Trevor Darrell, Marcus Rohrbach, Ronghang Hu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Studying Bias in GANs through the Lens of Race

Alexei A. Efros, Trevor Darrell, Angjoo Kanazawa, 2022, ECCV.

Fast Pedestrian Detection from a Moving Vehicle by Shuang You

Trevor Darrell, 2007 .

Semi-Supervised Domain Adaptation via Minimax Entropy

Trevor Darrell, S. Sclaroff, Kate Saenko, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Refine and Represent: Region-to-Object Representation Learning

Trevor Darrell, Colorado Reed, Akash Gokul, 2022, ArXiv.

Contrastive Test-Time Adaptation

Trevor Darrell, Dian Chen, Sayna Ebrahimi, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Exploring Simple and Transferable Recognition-Aware Image Processing

Trevor Darrell, Evan Shelhamer, Zhuang Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Visual Prompting via Image Inpainting

Alexei A. Efros, Trevor Darrell, A. Globerson, 2022, NeurIPS.

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers

Trevor Darrell, K. Keutzer, Suzanne Petryk, 2022, ArXiv.

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

Trevor Darrell, Marcus Rohrbach, Joseph E. Gonzalez, 2022, ECCV.

K-LITE: Learning Transferable Visual Models with External Knowledge

Trevor Darrell, K. Keutzer, Chunyuan Li, 2022, NeurIPS.

Real-World Robot Learning with Masked Visual Pre-training

P. Abbeel, Ilija Radosavovic, Trevor Darrell, 2022, CoRL.

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Thomas E. Huang, Trevor Darrell, F. Yu, 2022, ArXiv.

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling

Trevor Darrell, F. Yu, Vashisht Madhavan, 2018, ArXiv.

Variational Adversarial Active Learning-Extended Abstract

Trevor Darrell, Samarth Sinha, S. Ebrahimi, 2020 .

Object-Region Video Transformers

Trevor Darrell, A. Globerson, Gal Chechik, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multitask Vision-Language Prompt Tuning

Trevor Darrell, K. Keutzer, Sheng Shen, 2022, ArXiv.

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens

Trevor Darrell, A. Globerson, Anna Rohrbach, 2022, NeurIPS.

Shape-Guided Diffusion with Inside-Outside Attention

Dong Huk Park, Trevor Darrell, Anna Rohrbach, 2022, ArXiv.

G^3: Geolocation via Guidebook Grounding

Trevor Darrell, Daniel Fried, Anna Rohrbach, 2022, EMNLP.

Refine and Represent: Region-to-Object Representation Learning

Trevor Darrell, Colorado Reed, Akash Gokul, 2022, ArXiv.

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

Trevor Darrell, Ariel Shamir, A. Globerson, 2022, ArXiv.

Does unsupervised grammar induction need pixels?

Kilian Q. Weinberger, Trevor Darrell, J. Malik, 2022, ArXiv.

On Compact Codes for Spatially Pooled Features

Trevor Darrell, Oriol Vinyals, Yangqing Jia, 2013, ICML.

Pooling-Invariant Image Feature Learning pdf

Trevor Darrell, Oriol Vinyals, Yangqing Jia, 2013, ArXiv.

Visually-Grounded Bayesian Word Learning

Thomas L. Griffiths, Trevor Darrell, Joshua T. Abbott, 2012 .

A probabilistic model for recursive factorized image features

Trevor Darrell, Sanja Fidler, Mario Fritz, 2011, CVPR 2011.

Region-level Active Learning for Cluttered Scenes pdf

Trevor Darrell, Sayna Ebrahimi, Michael Laielli, 2021, ArXiv.

Region-level Active Detector Learning

Trevor Darrell, Sayna Ebrahimi, Michael Laielli, 2021, 2108.09186.

Gaussian Processes for Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2010, International Journal of Computer Vision.

Active Learning with Gaussian Processes for Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2018 .

Multimodal communication error detection for driver-car interaction

Trevor Darrell, Hedvig Kjellström, David Demirdjian, 2007, ICINCO-RA.

The ALIVE system: wireless, full-body interaction with autonomous agents

Alex Pentland, Trevor Darrell, Bruce Blumberg, 1997, Multimedia Systems.

Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning

Allan Jabri, Trevor Darrell, Richard Li, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Fighting Copycat Agents in Behavioral Cloning from Observation Histories pdf

Trevor Darrell, Yang Gao, Dinesh Jayaraman, 2020, NeurIPS.

Zero-Shot Visual Imitation

Jitendra Malik, Alexei A. Efros, Trevor Darrell, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning the Structure of Deep Convolutional Networks

Trevor Darrell, Jiashi Feng, Trevor Darrell, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Few-Shot Segmentation Propagation with Guided Networks pdf

Alexei A. Efros, Sergey Levine, Trevor Darrell, 2018, ArXiv.

Frustratingly Simple Few-Shot Object Detection pdf

Trevor Darrell, Joseph E. Gonzalez, Fisher Yu, 2020, ICML.

Speaker-Follower Models for Vision-and-Language Navigation

Dan Klein, Trevor Darrell, Ronghang Hu, 2018, NeurIPS.

Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation pdf

Xinlei Chen, Trevor Darrell, Amanpreet Singh, 2020, ECCV.

BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling

Trevor Darrell, Xin Wang, Fisher Yu, 2018, ArXiv.

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Trevor Darrell, Jeff Donahue, Oriol Vinyals, 2013, ICML.

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning

Trevor Darrell, Brian Clipp, M. Uyttendaele, 2022, ArXiv.

Active gesture recognition using partially observable Markov decision processes

Alex Pentland, Trevor Darrell, A. Pentland, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Simultaneous calibration and tracking with a network of non-overlapping sensors

Trevor Darrell, Ali Rahimi, Brian Dunagan, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Learning to Hash with Binary Reconstructive Embeddings

Trevor Darrell, Brian Kulis, Trevor Darrell, 2009, NIPS.

Variational Adversarial Active Learning

Trevor Darrell, Sayna Ebrahimi, Samarth Sinha, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Adversarial Feature Learning pdf

Trevor Darrell, Jeff Donahue, Philipp Krähenbühl, 2016, ICLR.

Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis

Alex Pentland, Trevor Darrell, Irfan A. Essa, 1994, NIPS.

Few-Shot Object Detection via Feature Reweighting

Xin Wang, Trevor Darrell, Jiashi Feng, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks

Trevor Darrell, Tete Xiao, Huijuan Xu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CLIP-It! Language-Guided Video Summarization pdf

Trevor Darrell, Medhini Narasimhan, Anna Rohrbach, 2021, NeurIPS.

Modeling Relationships in Referential Expressions with Compositional Modular Networks

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A ConvNet for the 2020s

Trevor Darrell, Saining Xie, Zhuang Liu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Early Convolutions Help Transformers See Better pdf

Trevor Darrell, Ross B. Girshick, Ross Girshick, 2021, NeurIPS.

Adversarial Discriminative Domain Adaptation

Trevor Darrell, Kate Saenko, Judy Hoffman, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization

Joachim Denzler, Trevor Darrell, Marcel Simon, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tent: Fully Test-Time Adaptation by Entropy Minimization

Trevor Darrell, B. Olshausen, Evan Shelhamer, 2021, ICLR.

Non-parametric and light-field deformable models

Trevor Darrell, Louis-Philippe Morency, C. Mario Christoudias, 2006, Comput. Vis. Image Underst..

Light Field Appearance Manifolds

Trevor Darrell, Louis-Philippe Morency, C. Mario Christoudias, 2004, ECCV.

Kurt Keutzer, Trevor Darrell, Xiaolong Wang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Compose Neural Networks for Question Answering

Dan Klein, Trevor Darrell, Marcus Rohrbach, 2016, NAACL.

Discovering Non-monotonic Autoregressive Orderings with Variational Inference pdf

Trevor Darrell, Brandon Trabucco, Michael Luo, 2021, ICLR.

Discriminator Rejection Sampling pdf

Trevor Darrell, Ian J. Goodfellow, Augustus Odena, 2018, ICLR.

Learning to Reason: End-to-End Module Networks for Visual Question Answering

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Taesung Park, Alexei A. Efros, Trevor Darrell, 2017, ICML.

Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments pdf

Sergey Levine, Trevor Darrell, Kate Saenko, 2015, ArXiv.

Textual Explanations for Self-Driving Vehicles pdf

Trevor Darrell, Zeynep Akata, John F. Canny, 2018, ECCV.

Localizing Moments in Video with Natural Language

Trevor Darrell, Eli Shechtman, Josef Sivic, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Activity maps for location-aware computing

Konrad Tollmar, Trevor Darrell, Kimberle Koile, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Object Hallucination in Image Captioning

Trevor Darrell, Kate Saenko, Anna Rohrbach, 2018, EMNLP.

Deep Object-Centric Policies for Autonomous Driving

Trevor Darrell, Fisher Yu, Dequan Wang, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Hierarchical Style-based Networks for Motion Synthesis

Bingbing Ni, Trevor Darrell, Xiaokang Yang, 2020, ECCV.

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

Trevor Darrell, Shiry Ginosar, Hao Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Instance-Aware Predictive Navigation in Multi-Agent Environments pdf

Trevor Darrell, Fisher Yu, Xin Wang, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Guiding Pretraining in Reinforcement Learning with Large Language Models

P. Abbeel, Trevor Darrell, Jacob Andreas, 2023, ICML.

Compositional Plan Vectors

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2019, NeurIPS.

Minimax Active Learning pdf

Trevor Darrell, Sayna Ebrahimi, William Gan, 2020, ArXiv.

Masked Visual Pre-training for Motor Control

Ilija Radosavovic, Trevor Darrell, J. Malik, 2022, ArXiv.

Discovering Latent Domains for Multisource Domain Adaptation

Trevor Darrell, Kate Saenko, Judy Hoffman, 2012, ECCV.

Benchmark for Compositional Text-to-Image Synthesis

Trevor Darrell, Anna Rohrbach, Xihui Liu, 2021, NeurIPS Datasets and Benchmarks.

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Trevor Darrell, Anna Rohrbach, Grace Luo, 2021, EMNLP.

More Control for Free! Image Synthesis with Semantic Diffusion Guidance

Dong Huk Park, Trevor Darrell, Anna Rohrbach, 2021, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation pdf

Trevor Darrell, Fisher Yu, Judy Hoffman, 2016, ArXiv.

Multiple-View Object Recognition in Smart Camera Networks

Subhransu Maji, Jitendra Malik, Allen Y. Yang, 2011 .

Multiple-view object recognition in band-limited distributed camera networks

Subhransu Maji, Jitendra Malik, Allen Y. Yang, 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

Unsupervised Distributed Feature Selection for Multi-view Object Recognition

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008 .

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation pdf

Kurt Keutzer, Trevor Darrell, Bo Li, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A multi-modal approach for determining speaker location and focus

Trevor Darrell, John W. Fisher, Louis-Philippe Morency, 2003, ICMI '03.

Fast stereo-based head tracking for interactive environments

Trevor Darrell, Louis-Philippe Morency, Ali Rahimi, 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

What Should Not Be Contrastive in Contrastive Learning pdf

Alexei A. Efros, Trevor Darrell, Xiaolong Wang, 2020, ICLR.

Self-Supervised Pretraining Improves Self-Supervised Pretraining pdf

Kurt Keutzer, Trevor Darrell, Shanghang Zhang, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning

Trevor Darrell, Salvatore Candido, Brian Clipp, 2022, ArXiv.

Predicting with Confidence on Unseen Distributions pdf

Trevor Darrell, Vaishaal Shankar, Sayna Ebrahimi, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Auxiliary Image Regularization for Deep CNNs with Noisy Labels pdf

Trevor Darrell, Jiashi Feng, Stefanie Jegelka, 2015, ICLR.

Grounding Visual Explanations

Trevor Darrell, Ronghang Hu, Zeynep Akata, 2018, ECCV.

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation pdf

Dan Klein, Trevor Darrell, Ronghang Hu, 2019, ACL.

Language-Conditioned Graph Networks for Relational Reasoning

Trevor Darrell, Ronghang Hu, Kate Saenko, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-View Learning in the Presence of View Disagreement pdf

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008, UAI 2008.

Auto-Tuned Sim-to-Real Transfer

Trevor Darrell, Pieter Abbeel, Deepak Pathak, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Top-Down Visual Attention from Analysis by Synthesis

Trevor Darrell, Xin Eric Wang, Baifeng Shi, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Temporal Action Detection with Multi-level Supervision pdf

Trevor Darrell, Kate Saenko, Judy Hoffman, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Scaling Vision-Language Models with Sparse Mixture of Experts

Yuxiong He, Trevor Darrell, K. Keutzer, 2023, EMNLP.

SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning

Trevor Darrell, A. Srinivas, K. Keutzer, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Features by Watching Objects Move

Trevor Darrell, Deepak Pathak, Bharath Hariharan, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchical Discrete Distribution Decomposition for Match Density Estimation

Trevor Darrell, Fisher Yu, Zhichao Yin, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Continual Learning pdf

Trevor Darrell, Marcus Rohrbach, Sayna Ebrahimi, 2020, ECCV.

Evolving Visual Routines

Trevor Darrell, Pattie Maes, Michael Patrick Johnson, 1994, Artificial Life.

Rethinking preventing class-collapsing in metric learning with margin-based losses

Trevor Darrell, Tete Xiao, Xiaolong Wang, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting pdf

Trevor Darrell, Marcus Rohrbach, Joseph E. Gonzalez, 2020, ICLR.

Dropout Reduces Underfitting

Trevor Darrell, Zhuang Liu, Zhiqiang Shen, 2023, ArXiv.

Classifying Collisions with Spatio-Temporal Action Graph Networks pdf

Trevor Darrell, Amir Globerson, Huijuan Xu, 2018, ArXiv.

Untethered gesture acquisition and recognition for virtual world manipulation

Trevor Darrell, Teresa Ko, David Demirdjian, 2005, Virtual Reality.

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks pdf

Tao Chen, Trevor Darrell, Shih-Fu Chang, 2014, ArXiv.

Compositional GAN: Learning Image-Conditional Binary Composition

Trevor Darrell, Deepak Pathak, Sayna Ebrahimi, 2018, International Journal of Computer Vision.

Adapting to Continuously Shifting Domains

Trevor Darrell, Judy Hoffman, Eric Tzeng, 2018, ICLR.

Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs

Trevor Darrell, A. Globerson, R. Feris, 2023, ArXiv.

Shape-Guided Diffusion with Inside-Outside Attention

Dong Huk Park, Trevor Darrell, Anna Rohrbach, 2022, ArXiv.

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

Xin Wang, Trevor Darrell, Fisher Yu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Trevor Darrell, Zhuang Liu, Xiaolong Wang, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Weakly-supervised Discovery of Visual Pattern Configurations

Yong Jae Lee, Trevor Darrell, Stefanie Jegelka, 2014, NIPS.

Localizing Moments in Video with Temporal Language

Trevor Darrell, Eli Shechtman, Josef Sivic, 2018, EMNLP.

Spatio-Temporal Action Graph Networks

Trevor Darrell, Xiaolong Wang, Amir Globerson, 2018, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Fully Convolutional Multi-Class Multiple Instance Learning pdf

Trevor Darrell, Deepak Pathak, Jonathan Long, 2014, ICLR.

Using Language to Extend to Unseen Domains

Trevor Darrell, Joseph E. Gonzalez, Lisa Dunlap, 2022, arXiv.org.

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Trevor Darrell, F. Yu, Vashisht Madhavan, 2018, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Ausio-visual Segmentation and "The Cocktail Party Effect"

Trevor Darrell, Paul A. Viola, John W. Fisher, 2000, ICMI.

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures pdf

Andrew Owens, Alexei A. Efros, Trevor Darrell, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Monocular Quasi-Dense 3D Object Tracking

Trevor Darrell, Min Sun, F. Yu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Trevor Darrell, Fisher Yu, Xia Li, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Segmentation from Natural Language Expressions

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2016, ECCV.

PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models

Yifan Jiang, Trevor Darrell, Humphrey Shi, 2023, ArXiv.

On Guiding Visual Attention with Language Specification

Trevor Darrell, Joseph E. Gonzalez, Anna Rohrbach, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Contrastive Examples for Addressing the Tyranny of the Majority pdf

Trevor Darrell, Viktoriia Sharmanska, Lisa Anne Hendricks, 2020, ArXiv.

Multistream Articulatory Feature-Based Models for Visual Speech Recognition

Trevor Darrell, James R. Glass, James Glass, 2009, IEEE Trans. Pattern Anal. Mach. Intell..

Production domain modeling of pronunciation for visual speech recognition

Trevor Darrell, James R. Glass, Kate Saenko, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Articulatory features for robust visual speech recognition

Trevor Darrell, James R. Glass, Kate Saenko, 2004, ICMI '04.

Grounding of Textual Phrases in Images by Reconstruction pdf

Trevor Darrell, Bernt Schiele, Ronghang Hu, 2015, ECCV.

Robust Object Detection via Instance-Level Temporal Cycle Confusion

Thomas E. Huang, Trevor Darrell, Joseph Gonzalez, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Quasi-Dense Instance Similarity Learning pdf

Trevor Darrell, Qi Li, Fisher Yu, 2020, ArXiv.

Learning Saliency Propagation for Semi-Supervised Instance Segmentation

Trevor Darrell, Xin Wang, Yanzhao Zhou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Joint Monocular 3D Vehicle Detection and Tracking

Trevor Darrell, Min Sun, Fisher Yu, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

Trevor Darrell, Hao Li, Anna Rohrbach, 2021, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Simple Token-Level Confidence Improves Caption Correctness

Trevor Darrell, Marcus Rohrbach, Anna Rohrbach, 2023, ArXiv.

Monocular Plan View Networks for Autonomous Driving

Trevor Darrell, Philipp Krähenbühl, Dequan Wang, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Trevor Darrell, Bichen Wu, K. Keutzer, 2020, AAAI.

Fine-grained pose prediction, normalization, and recognition pdf

Yang Gao, Trevor Darrell, Ning Zhang, 2015, ArXiv.

Multi-content GAN for Few-Shot Font Style Transfer

Trevor Darrell, Vladimir G. Kim, Matthew Fisher, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Long Lian, Trevor Darrell, Trevor Darrell, 2023, ArXiv.

Towards adaptive object recognition for situated human-computer interaction

Trevor Darrell, Kate Saenko, Trevor Darrell, 2007, WMISI '07.

Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers

Trevor Darrell, Kate Saenko, Trevor Darrell, 2007, MLMI.

Captioning Images with Diverse Objects

Trevor Darrell, Marcus Rohrbach, Kate Saenko, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Trevor Darrell, Marcus Rohrbach, Kate Saenko, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Inference for Multi-Sentence Video Description

Trevor Darrell, Marcus Rohrbach, Jae Sung Park, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Generating Counterfactual Explanations with Natural Language pdf

Trevor Darrell, Ronghang Hu, Zeynep Akata, 2018, ICML 2018.

Learning and Verification of Task Structure in Instructional Videos

Trevor Darrell, Sean Bell, N. Zhang, 2023, ArXiv.

Zero-Shot Reward Specification via Grounded Natural Language

Trevor Darrell, Deepak Pathak, Parsa Mahmoudieh, 2022, ICML.

Compositional Video Synthesis with Action Graphs

Trevor Darrell, Gal Chechik, Xiaolong Wang, 2020, ICML.

Learning to Detect Every Thing in an Open World

Trevor Darrell, Kuniaki Saito, Kate Saenko, 2021, ECCV.

Generalized Orderless Pooling Performs Implicit Salient Matching

Joachim Denzler, Yang Gao, Trevor Darrell, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Computer Vision and Applications

Trevor. Darrell, Trevor Darrell, 2000 .

Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Trevor Darrell, John Canny, Jinkyu Kim, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Clockwork Convnets for Video Semantic Segmentation

Trevor Darrell, Judy Hoffman, Evan Shelhamer, 2016, ECCV Workshops.

Disentangling Propagation and Generation for Video Prediction

Trevor Darrell, Fisher Yu, Ruth Wang, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

Eric P. Xing, Trevor Darrell, Zhuang Liu, 2020, AAAI.

Understanding object descriptions in robotics by open-vocabulary object retrieval and detection

Trevor Darrell, Kate Saenko, Sergio Guadarrama, 2016, Int. J. Robotics Res..

Learning Visual Representations using Images with Captions

Trevor Darrell, Ariadna Quattoni, Michael Collins, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics

Trevor Darrell, Shiry Ginosar, H. Joo, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Spatio-Temporal Action Detection with Multi-Object Interaction pdf

Trevor Darrell, Kate Saenko, Stan Sclaroff, 2020, ArXiv.

Auxiliary Task Reweighting for Minimum-data Learning pdf

Trevor Darrell, Kate Saenko, Judy Hoffman, 2020, NeurIPS.

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation

Kurt Keutzer, Trevor Darrell, Shanghang Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

End to End Learning in Autonomous Driving Systems

Trevor Darrell, Yang Gao, 2020 .

Deep Compositional Question Answering with Neural Module Networks pdf

Dan Klein, Trevor Darrell, Marcus Rohrbach, 2015, ArXiv.

Reinforcement Learning from Imperfect Demonstrations pdf

Yang Gao, Sergey Levine, Trevor Darrell, 2018, ICLR.

Perceptive Presence

Konrad Tollmar, Frank Bentley, Trevor Darrell, 2003, IEEE Computer Graphics and Applications.

Tracking facial motion

Irfan Essa, Trevor Darrell, Alex Pentland, 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)

Gunnar Rätsch, Trevor Darrell, Marius Kloft, 2015, Dagstuhl Reports.

Semantic Bottleneck Scene Generation pdf

Trevor Darrell, Michael Tschannen, Mario Lucic, 2019, ArXiv.

SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection pdf

Trevor Darrell, Kate Saenko, Eric Tzeng, 2018, ArXiv.

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts

Hyung Won Chung, Xinyun Chen, Trevor Darrell, 2023, ArXiv.

Head gesture recognition in intelligent interfaces: the role of context in improving recognition

Trevor Darrell, Louis-Philippe Morency, Trevor Darrell, 2006, IUI '06.

Proton: A visuo-haptic data acquisition system for robotic learning of surface properties

Yang Gao, Trevor Darrell, Katherine J. Kuchenbecker, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Attentive Explanations: Justifying Decisions and Pointing to the Evidence pdf

Trevor Darrell, Bernt Schiele, Marcus Rohrbach, 2016, ArXiv.

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

Trevor Darrell, Ariel Shamir, A. Globerson, 2022, ArXiv.

Modular Visual Question Answering via Code Generation

Trevor Darrell, C. Schmid, Andy Zeng, 2023, ACL.

Recovering Articulated Model Topology from Observed Rigid Motion

Trevor Darrell, John W. Fisher, Leonid Taycher, 2002, NIPS.

Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks

Trevor Darrell, Louis-Philippe Morency, Neal Checka, 2002 .

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Trevor Darrell, Dawn Xiaodong Song, Chang Liu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Recognition of Space-Time Gestures using a Distributed Representation

Alex Pentland, Trevor Darrell, A. Pentland, 1993 .

Untethered gesture acquisition and recognition for a multimodal conversational system

Trevor Darrell, Teresa Ko, David Demirdjian, 2003, ICMI '03.

Perceptually-driven Avatars and Interfaces: active methods for direct control

Trevor Darrell, Trevor Darrell, 1997 .

Visually guided interaction and animation

Irfan Essa, Alex Pentland, Trevor Darrell, 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

Finding lost children

Trevor Darrell, C. Mario Christoudias, Ashley Eden, 2011, 2011 IEEE Workshop on Person-Oriented Vision.

Perceptive Spaces for Performance and Entertainment Untethered Interaction Using Computer Vision and Audition

Alex Pentland, Trevor Darrell, Flavia Sparacino, 1997, Appl. Artif. Intell..

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Trevor Darrell, Joseph E. Gonzalez, Han Zhang, 2023, ArXiv.

Compositional GAN: Learning Conditional Image Composition pdf

Trevor Darrell, Deepak Pathak, Sayna Ebrahimi, 2018, ArXiv.

Back to the Source: Diffusion-Driven Test-Time Adaptation

Trevor Darrell, Evan Shelhamer, Dequan Wang, 2022, ArXiv.

Searching the Web with mobile images for location recognition

Konrad Tollmar, Trevor Darrell, Tom Yeh, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Learning Scalable Discriminative Dictionary with Sample Relatedness

Trevor Darrell, Shuicheng Yan, Jiashi Feng, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

LabelAR: A Spatial Guidance Interface for Fast Computer Vision Image Collection

Trevor Darrell, Björn Hartmann, Michael Laielli, 2019, UIST.

Discriminative Gaussian process latent variable model for classification

Trevor Darrell, Raquel Urtasun, Trevor Darrell, 2007, ICML '07.

Scene Intrinsics and Depth from a Single Image

Jonathan T. Barron, Trevor Darrell, Evan Shelhamer, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Transferable Recognition-Aware Image Processing pdf

Trevor Darrell, Zhiqiang Shen, Bingyi Kang, 2019, ArXiv.

Task-Specific Gesture Analysis in Real-Time Using Interpolated Views

Alex Pentland, Trevor Darrell, Irfan A. Essa, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

On-target Adaptation pdf

Trevor Darrell, Sayna Ebrahimi, Evan Shelhamer, 2021, ArXiv.

Photo-based question answering

Trevor Darrell, Tom Yeh, John J. Lee, 2008, ACM Multimedia.

Spatial Semantic Regularisation for Large Scale Object Detection

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images

Trevor Darrell, Kate Saenko, Ying Xiong, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Accurate Visual Localization for Automotive Applications

Trevor Darrell, Ilan Kadar, Eli Brosh, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Gesture + play: full-body interaction for virtual environments

Konrad Tollmar, Trevor Darrell, David Demirdjian, 2003, CHI Extended Abstracts.

Multiple person and speaker activity tracking with a particle filter

Trevor Darrell, Kevin W. Wilson, Michael Siracusa, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density pdf

Trevor Darrell, Kate Saenko, Stan Sclaroff, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Modular Architecture for StarCraft II with Deep Reinforcement Learning pdf

Trevor Darrell, Pieter Abbeel, Huazhe Xu, 2018, AIIDE.

Generalized Zero-Shot Learning via Aligned Variational Autoencoders

Trevor Darrell, Zeynep Akata, Edgar Schönfeld, 2019, CVPR Workshops.

A Probabilistic Framework for Multi-modal Multi-Person Tracking

Trevor Darrell, Kevin W. Wilson, Neal Checka, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks pdf

Trevor Darrell, Evan Shelhamer, David Wagner, 2021, ArXiv.

Rethinking the Value of Network Pruning

Trevor Darrell, Gao Huang, Zhuang Liu, 2018, ICLR.

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

Trevor Darrell, A. Globerson, Gal Chechik, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Evaluating Self-Supervised Pretraining Without Using Labels pdf

Kurt Keutzer, Trevor Darrell, Aravind Srinivas, 2020, ArXiv.

Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition

Alexei A. Efros, Markus Vincze, Mohammad Reza Loghmani, 2020, IEEE Robotics and Automation Letters.

Fully convolutional networks for semantic segmentation

Trevor Darrell, Evan Shelhamer, Jonathan Long, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Guest Editor’s Introduction to the Special Issue on Domain Adaptation for Vision Applications

R. Chellappa, Trevor Darrell, Dong Xu, 2014, International Journal of Computer Vision.

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence

Dong Huk Park, Trevor Darrell, Lisa Dunlap, 2023, ArXiv.

REMEMBERING FOR THE RIGHT REASONS: EXPLANATIONS REDUCE

Trevor Darrell, Marcus Rohrbach, Joseph Gonzalez, 2021 .

Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract

Trevor Darrell, Marcus Rohrbach, Mohamed Elhoseiny, 2019, CVPR Workshops.

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Dong Huk Park, Trevor Darrell, Marcus Rohrbach, 2016, EMNLP.

Toward Multimodal Image-to-Image Translation

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2017, NIPS.

Viewpoint Invariant Change Captioning pdf

Trevor Darrell, Anna Rohrbach, Dong Huk Park, 2019, ArXiv.

Detector discovery in the wild: Joint multiple instance and representation learning

Trevor Darrell, Kate Saenko, Deepak Pathak, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchical Open-vocabulary Universal Image Segmentation

Trevor Darrell, K. Kozuka, Xudong Wang, 2023, ArXiv.

Magic morphin mirror: face-sensitive distortion and exaggeration

Trevor Darrell, Harlyn Baker, Franklin C. Crow, 1997, SIGGRAPH '97.

Modeling, tracking and interactive animation of faces and heads//using input from video

Alex Pentland, Trevor Darrell, Irfan A. Essa, 1996, Proceedings Computer Animation '96.

ALIVE: Artificial Life Interactive Video Environment

Alex Pentland, Trevor Darrell, Bruce Blumberg, 1994, AAAI.

A Bayesian approach to image-based visual hull reconstruction

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

for QVH IGHLIGHTS : Detecting Moments and Highlights in Videos via Natural Language Queries

Lisa Anne Hendricks, Trevor Darrell, Josef Sivic, 2021 .

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields pdf

Trevor Darrell, Evan Shelhamer, Dequan Wang, 2019, ArXiv.

From pixels to physics: Probabilistic color de-rendering

Trevor Darrell, Kate Saenko, Ying Xiong, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions pdf

Trevor Darrell, Ronghang Hu, Marcus Rohrbach, 2016, ArXiv.

Speaker-Follower Models for Vision-and-Language Navigation

Trevor Darrell, Kate Saenko, D. Klein, 2018, NeurIPS.

A Projected Subgradient Method for Scalable Multi-Task Learning

Trevor Darrell, Ariadna Quattoni, Xavier Carreras, 2008 .

Dropout Reduces Underfitting

Trevor Darrell, Zhuang Liu, Zhiqiang Shen, 2023, ICML.

Pyramid based depth from focus

Trevor Darrell, Kwangyoen Wohn, Trevor Darrell, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning pdf

Trevor Darrell, Wei Ke, Huijuan Xu, 2020, ECCV.

Semi-supervised Domain Adaptation with Instance Constraints

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Reducing Class Collapse in Metric Learning with Easy Positive Sampling pdf

Trevor Darrell, Xiaolong Wang, Tete Xiao, 2020, ArXiv.

Identity-Aware Multi-Sentence Video Description

Trevor Darrell, Jae Sung Park, Anna Rohrbach, 2020, ECCV.

Supervised hierarchical Pitman-Yor process for natural scene segmentation

Trevor Darrell, Michael I. Jordan, Raquel Urtasun, 2011, CVPR 2011.

Generating Visual Explanations with Natural Language

Lisa Anne Hendricks, B. Schiele, Trevor Darrell, 2021, Applied AI Letters.

Combining object and feature dynamics in probabilistic tracking

Trevor Darrell, John W. Fisher, Leonid Taycher, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Incorporating Object Tracking Feedback into Background Maintenance Framework

Trevor Darrell, John W. Fisher, Leonid Taycher, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Zero-Shot Reward Specification via Grounded Natural Language

Trevor Darrell, Deepak Pathak, Parsa Mahmoudieh, 2022, ICML.

Latent Task Adaptation with Large-Scale Hierarchies

Trevor Darrell, Yangqing Jia, Yangqing Jia, 2013, 2013 IEEE International Conference on Computer Vision.

Using Language to Extend to Unseen Domains

Trevor Darrell, Joseph E. Gonzalez, Lisa Dunlap, 2022, ICLR.

U SING L ANGUAGE TO E XTEND TO U NSEEN D OMAINS

Trevor Darrell, Joseph E. Gonzalez, Lisa Dunlap, 2023 .

U SING L ANGUAGE TO E XTEND TO U NSEEN D OMAINS

Trevor Darrell, Joseph E. Gonzalez, Anna Rohrbach, 2022 .

Avoiding the "streetlight effect": tracking by exploring likelihood modes

Trevor Darrell, Gregory Shakhnarovich, Kristen Grauman, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Modular Networks for Compositional Instruction Following

Dan Klein, Trevor Darrell, Daniel Fried, 2021, NAACL.

Modularity Improves Out-of-Domain Instruction Following pdf

Trevor Darrell, Dan Klein, Coline Devin, 2020, ArXiv.

Dynamic visual category learning

Trevor Darrell, Tom Yeh, Trevor Darrell, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Trevor Darrell, I. Stoica, Joseph E. Gonzalez, 2021, MLSys.

Task-Aware Feature Generation for Zero-Shot Compositional Learning.

Trevor Darrell, Joseph Gonzalez, F. Yu, 2019, 1906.04854.

Segmentation by minimal description

Alex Pentland, Trevor Darrell, Stan Sclaroff, 1990, [1990] Proceedings Third International Conference on Computer Vision.

Bayesian network for online global pose estimation

Trevor Darrell, Ali Rahimi, Trevor Darrell, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Location Estimation with a Differential Update Network

Trevor Darrell, Ali Rahimi, Trevor Darrell, 2002, NIPS.

Fully convolutional networks for semantic segmentation

Trevor Darrell, Evan Shelhamer, Jonathan Long, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Filtering Abstract Senses From Image Search Results

Trevor Darrell, Kate Saenko, Trevor Darrell, 2009, NIPS.

On modelling nonlinear shape-and-texture appearance manifolds

Trevor Darrell, C. Mario Christoudias, Trevor Darrell, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Long-term recurrent convolutional networks for visual recognition and description

Lisa Anne Hendricks, Trevor Darrell, Jeff Donahue, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The Ratio Method for Multi-view Color Constancy

Ying Xiong, Trevor Darrell, Kate Saenko, 2011 .

Multistream Articulatory Feature-Based Models for Visual Speech Recognition

James R. Glass, Trevor Darrell, Karen Livescu, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Vision-free Baseline for Multimodal Grammar Induction

Kilian Q. Weinberger, Serge J. Belongie, Trevor Darrell, 2022, 2212.10564.

Aligning Large Multimodal Models with Factually Augmented RLHF

Trevor Darrell, K. Keutzer, Yiming Yang, 2023, ArXiv.

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Trevor Darrell, Joseph E. Gonzalez, Han Zhang, 2023, ArXiv.

Efficient Learning of Domain-invariant Image Representations

Trevor Darrell, Jeff Donahue, Kate Saenko, 2013, ICLR.

Generating Post-Hoc Rationales of Deep Visual Classification Decisions

Trevor Darrell, Zeynep Akata, Lisa Anne Hendricks, 2018 .

Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations pdf

Trevor Darrell, Kate Saenko, Jeff Donahue, 2013, ArXiv.

Scalable Transform-based Domain Adaptation

Trevor Darrell, Jeff Donahue, Kate Saenko, 2013 .

Learning to Detect Visual Grasp Affordance

Trevor Darrell, Mario Fritz, Daniel Göhring, 2016, IEEE Transactions on Automation Science and Engineering.

Locality-Sensitive Hashing Using Stable Distributions

Trevor Darrell, Piotr Indyk, Gregory Shakhnarovich, 2006 .

LLM-grounded Video Diffusion Models

Trevor Darrell, Adam Yala, Baifeng Shi, 2023, ArXiv.

Uncertainty-guided Continual Learning with Bayesian Neural Networks

Trevor Darrell, Marcus Rohrbach, Mohamed Elhoseiny, 2019, ICLR.

Generating Visual Explanations

Lisa Anne Hendricks, B. Schiele, Trevor Darrell, 2016, ECCV.

Guiding Pretraining in Reinforcement Learning with Large Language Models

P. Abbeel, Trevor Darrell, Jacob Andreas, 2023, ICML.

Learning to Compose Neural Networks for Question Answering

Trevor Darrell, Marcus Rohrbach, D. Klein, 2016, NAACL.

Discriminatively Activated Sparselets

Trevor Darrell, Ross B. Girshick, Hyun Oh Song, 2013, ICML.

Predicting masked tokens in stochastic locations improves masked image modeling

Yann LeCun, Trevor Darrell, Nicolas Ballas, 2023, ArXiv.

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Thomas E. Huang, Trevor Darrell, F. Yu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to Recognize Objects from Unseen Modalities

Trevor Darrell, Raquel Urtasun, Mathieu Salzmann, 2010, ECCV.

VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation

Trevor Darrell, Ishan Misra, Rohit Girdhar, 2023, ArXiv.

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Trevor Darrell, Philipp Krähenbühl, Deepak Pathak, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

LLM-grounded Video Diffusion Models

Trevor Darrell, Adam Yala, Baifeng Shi, 2023, ArXiv.

Rich feature hierarchies for accurate object detection and semantic segmentation Tech report

Ross B. Girshick, Trevor Darrell, Jeff Donahue, 2013 .

Learning Detection with Diverse Proposals

Trevor Darrell, Jiashi Feng, Samaneh Azadi, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning

Trevor Darrell, Tom Yeh, John J. Lee, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Revisiting Few-shot Activity Detection with Class Similarity Control pdf

Trevor Darrell, Kate Saenko, Abir Das, 2020, ArXiv.

Trevor Darrell, Kate Saenko, Jiashi Feng, 2018, ArXiv.

Fully Convolutional Multi-Class Multiple Instance Learning

Trevor Darrell, Evan Shelhamer, Jonathan Long, 2014, ICLR.

More Control for Free! Image Synthesis with Semantic Diffusion Guidance

Dong Huk Park, Trevor Darrell, Anna Rohrbach, 2021, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning

Trevor Darrell, Salvatore Candido, Brian Clipp, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs

Trevor Darrell, A. Globerson, R. Feris, 2023, EMNLP.

Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation

Trevor Darrell, Anna Rohrbach, Giscard Biamby, 2021, NAACL.

A radial cumulative similarity transform for robust image correspondence

Trevor Darrell, Trevor Darrell, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Trevor Darrell, Adam Yala, Long Lian, 2023, ArXiv.

What Should Not Be Contrastive in Contrastive Learning pdf

Alexei A. Efros, Trevor Darrell, Xiaolong Wang, 2020, ICLR.

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Trevor Darrell, F. Yu, Vashisht Madhavan, 2018, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).