Antonio Torralba

Antonio Torralba, William T. Freeman, Alan S. Willsky, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Inferring Light Fields from Shadows

Frédo Durand, Gregory W. Wornell, Antonio Torralba, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

2007 IEEE International Workshop on Semantic Learning Applications in Multimedia

Jiebo Luo, Antonio Torralba, Shih-Fu Chang, 2007 .

Learning to Act Properly: Predicting and Explaining Affordances from Images

Sanja Fidler, Antonio Torralba, Ching-Yao Chuang, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Visualizing Object Detection Features

Antonio Torralba, Tomasz Malisiewicz, Aditya Khosla, 2015, International Journal of Computer Vision.

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input pdf

James R. Glass, Antonio Torralba, Galen Chuang, 2018, ECCV.

Benchmarking Convolutional Neural Networks for Object Segmentation and Pose Estimation

Antonio Torralba, Lei Hamilton, Tiffany Le, 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

We Want Robots to See and Understand the World

Antonio Torralba, Adolfo Plasencia, A. Torralba, 2018 .

LabelMe video: Building a video database with human annotations

Antonio Torralba, Ce Liu, Jenny Yuen, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A Latent Variable Ranking Model for Content-Based Retrieval

Antonio Torralba, Ariadna Quattoni, Xavier Carreras, 2012, ECIR.

Learning Aligned Cross-Modal Representations from Weakly Aligned Data

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Contextual Influences on Saliency

Antonio Torralba, A. Torralba, 2004 .

SIFT Flow: Dense Correspondence across Scenes and Its Applications

Antonio Torralba, Ce Liu, Jenny Yuen, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A taxonomy of visual scenes: Typicality ratings and hierarchical classification

Krista A. Ehinger, Antonio Torralba, Aude Oliva, 2010 .

Ambient Sound Provides Supervision for Visual Learning

Andrew Owens, Jiajun Wu, Antonio Torralba, 2016, ECCV.

Contextual Modulation of Target Saliency

Antonio Torralba, A. Torralba, 2001, NIPS.

Sharing features: efficient boosting procedures for multiclass object detection

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health

Antonio Torralba, Ingmar Weber, Ferda Ofli, 2017, WWW.

A test-rig to evaluate a wind turbine generation control system based on DSP

Antonio Torralba, Leopoldo García Franquelo, Federico Barrero, 1997 .

Contextual Models for Object Detection Using Boosted Random Fields

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2004, NIPS.

MovieQA: Understanding Stories in Movies through Question-Answering

Sanja Fidler, Antonio Torralba, Raquel Urtasun, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Self-supervised Audio-visual Co-segmentation

Chuang Gan, Antonio Torralba, Hang Zhao, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Saliency, objects and scenes: global scene factors in attention and object detection

Antonio Torralba, Aude Oliva, Monica S. Castelhano, 2004 .

Deep Neural Networks explain spatio-temporal dynamics of visual scene and object processing

Antonio Torralba, Dimitrios Pantazis, Aude Oliva, 2016 .

Scene categorization and detection: the power of global features

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, 2010 .

VirtualHome: Simulating Household Activities Via Programs

Sanja Fidler, Antonio Torralba, Jiaman Li, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Estimating scene typicality from human ratings and image features

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, 2011, CogSci.

Shape Recipes: Scene Representations that Refer to the Image

Antonio Torralba, William T. Freeman, A. Torralba, 2010, NIPS.

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids pdf

Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, 2018, ICLR.

Building a database of 3D scenes from user annotations

Antonio Torralba, Bryan C. Russell, A. Torralba, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Antonio Torralba, Dimitrios Pantazis, Aude Oliva, 2016, Scientific Reports.

Places: An Image Database for Deep Scene Understanding pdf

Bolei Zhou, Antonio Torralba, Aude Oliva, 2016, ArXiv.

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Sanja Fidler, Antonio Torralba, Raquel Urtasun, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Open Vocabulary Scene Parsing

Bolei Zhou, Sanja Fidler, Antonio Torralba, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Global statistical features and early scene interpretation

Antonio Torralba, Aude Oliva, A. Torralba, 2010 .

Grounding Spoken Words in Unlabeled Video

Michael Picheny, James R. Glass, Antonio Torralba, 2019, CVPR Workshops.

Interpreting Visual Representations of Neural Networks via Network Dissection

Bolei Zhou, Antonio Torralba, Aude Oliva, 2018, Journal of Vision.

Through-Wall Human Pose Estimation Using Radio Signals

Antonio Torralba, Dina Katabi, Tianhong Li, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

3D-Aware Scene Manipulation via Inverse Graphics

Shunyu Yao, Jiajun Wu, Joshua B. Tenenbaum, 2018, NeurIPS.

Graphical Model For Recognizing Scenes and Objects.

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2003, NIPS 2003.

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization pdf

Heng Wang, Antonio Torralba, Lorenzo Torresani, 2017, ArXiv.

Describing Visual Scenes using Transformed Dirichlet Processes

Antonio Torralba, William T. Freeman, Alan S. Willsky, 2005, NIPS.

Guest Editorial: Big Data

Alexei A. Efros, Antonio Torralba, 2016, International Journal of Computer Vision.

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

Wojciech Matusik, Antonio Torralba, Simon Stent, 2018, ECCV.

Statistics of natural image categories

Antonio Torralba, Aude Oliva, A. Torralba, 2003, Network.

Accidental Pinhole and Pinspeck Cameras

Antonio Torralba, William T. Freeman, A. Torralba, 2014, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

SegICP: Integrated deep semantic segmentation and pose estimation

Bolei Zhou, Antonio Torralba, Jimmy Wu, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

LabelMe: Online Image Annotation and Applications

Antonio Torralba, Jenny Yuen, Bryan C. Russell, 2010, Proceedings of the IEEE.

Undoing the Damage of Dataset Bias

Alexei A. Efros, Antonio Torralba, Tomasz Malisiewicz, 2012, ECCV.

ASITRON: ASIC for vectorial control of induction motors and speed regulation using fuzzy-logic

M. Barranco, Antonio Torralba, Leopoldo García Franquelo, 1998, 1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196).

Semantic Label Sharing for Learning with Many Categories

Antonio Torralba, Rob Fergus, Yair Weiss, 2010, ECCV.

Sharing Visual Features for Multiclass and Multiview Object Detection

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

SIFT Flow: Dense Correspondence across Different Scenes

Antonio Torralba, William T. Freeman, Ce Liu, 2008, ECCV.

Learning to predict where humans look

Frédo Durand, Krista A. Ehinger, Antonio Torralba, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Learning to share visual appearance for multiclass object detection

Joshua B. Tenenbaum, Antonio Torralba, Ruslan Salakhutdinov, 2011, CVPR 2011.

Shape Anchors for Data-Driven Multi-view Reconstruction

Andrew Owens, Jianxiong Xiao, Antonio Torralba, 2013, 2013 IEEE International Conference on Computer Vision.

Unsupervised Non-parametric Geospatial Modeling from Ground Imagery

Antonio Torralba, Nathan Frey, Christopher Stauffer, 2014, IEEE Winter Conference on Applications of Computer Vision.

Exploiting hierarchical context on a large database of object categories

Antonio Torralba, Joseph J. Lim, Alan S. Willsky, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Following Gaze in Video

Antonio Torralba, Aditya Khosla, Carl Vondrick, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Who is Mistaken? pdf

Antonio Torralba, Carl Vondrick, Benjamin Eysenbach, 2016, ArXiv.

Mapping human visual representations in space and time by neural networks.

Antonio Torralba, Dimitrios Pantazis, Aude Oliva, 2015, Journal of vision.

Recognizing scene viewpoint using panoramic place representation

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Where Should Saliency Models Look Next?

Frédo Durand, Antonio Torralba, Ali Borji, 2016, ECCV.

Method for frequency offset estimation in OFDM with application to power line communication

Antonio Torralba, J. Granado, 2003 .

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model

Joshua B. Tenenbaum, Antonio Torralba, Ruslan Salakhutdinov, 2011, ICML Unsupervised and Transfer Learning.

Motion magnification

Frédo Durand, Edward H. Adelson, Antonio Torralba, 2005, ACM Trans. Graph..

Learning to Learn with Compound HD Models

Joshua B. Tenenbaum, Antonio Torralba, Ruslan Salakhutdinov, 2011, NIPS.

Where are they looking?

Antonio Torralba, Aditya Khosla, Carl Vondrick, 2015, NIPS.

Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space

Antonio Torralba, William T. Freeman, Shai Avidan, 2008, Proceedings of the IEEE.

Unsupervised Learning of Spoken Language with Visual Context

James R. Glass, Antonio Torralba, David F. Harwath, 2016, NIPS.

Parsing IKEA Objects: Fine Pose Estimation

Antonio Torralba, Joseph J. Lim, Hamed Pirsiavash, 2013, 2013 IEEE International Conference on Computer Vision.

Generating the Future with Adversarial Transformers

Antonio Torralba, Carl Vondrick, A. Torralba, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Inferring the Why in Images pdf

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2014, ArXiv.

Semantic photo manipulation with a generative image prior

Bolei Zhou, Antonio Torralba, David Bau, 2019, ACM Trans. Graph..

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, 2018, NeurIPS.

SUN database: Large-scale scene recognition from abbey to zoo

Krista A. Ehinger, Antonio Torralba, Aude Oliva, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Multidimensional Spectral Hashing

Antonio Torralba, Rob Fergus, Yair Weiss, 2012, ECCV.

Object Detectors Emerge in Deep Scene CNNs pdf

Bolei Zhou, Antonio Torralba, Aude Oliva, 2014, ICLR.

Recognizing indoor scenes

Antonio Torralba, Ariadna Quattoni, A. Torralba, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Generating Videos with Scene Dynamics

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2016, NIPS.

Nonparametric Scene Parsing via Label Transfer

Antonio Torralba, Ce Liu, Jenny Yuen, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels

Andrew Owens, Jianxiong Xiao, Antonio Torralba, 2013, 2013 IEEE International Conference on Computer Vision.

What Do Different Evaluation Metrics Tell Us About Saliency Models?

Frédo Durand, Antonio Torralba, Aude Oliva, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

How many pixels make an image?

Antonio Torralba, A. Torralba, 2009, Visual Neuroscience.

A Tree-Based Context Model for Object Recognition

Antonio Torralba, Alan S. Willsky, Myung Jin Choi, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

What makes an image memorable

Jianxiong Xiao, Antonio Torralba, Aude Oliva, 2011 .

SUN Database: Exploring a Large Collection of Scene Categories

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, 2014, International Journal of Computer Vision.

Trees and beyond: exploiting and improving tree-structured graphical models

Antonio Torralba, Myung Jin Choi, Alan S. Willsky, 2011 .

Looking Beyond the Visible Scene

Byoungkwon An, Antonio Torralba, Joseph J. Lim, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Evaluation of image features using a photorealistic virtual world

Antonio Torralba, William T. Freeman, Biliana Kaneva, 2011, 2011 International Conference on Computer Vision.

Part and appearance sharing: Recursive Compositional Models for multi-view

Antonio Torralba, William T. Freeman, Long Zhu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Interpretable Basis Decomposition for Visual Explanation

Bolei Zhou, Antonio Torralba, David Bau, 2018, ECCV.

Modeling visual search in a thousand scenes: The roles of saliency, target features, and scene context

Krista A. Ehinger, Antonio Torralba, Aude Oliva, 2010 .

A data-driven approach for even prediction

Antonio Torralba, Jenny Yuen, 2010 .

Nonparametric Bayesian Texture Learning and Synthesis

Antonio Torralba, Long Zhu, Yuanhao Chen, 2009, NIPS.

The Role of Embedding Complexity in Domain-invariant Representations pdf

Antonio Torralba, Ching-Yao Chuang, Stefanie Jegelka, 2019, ArXiv.

Exploiting Occlusion in Non-Line-of-Sight Active Imaging

Jeffrey H. Shapiro, Christos Thrampoulidis, Gregory W. Wornell, 2017, IEEE Transactions on Computational Imaging.

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks pdf

Bolei Zhou, Joshua B. Tenenbaum, Antonio Torralba, 2018, ICLR.

To appear in the ACM SIGGRAPH conference proceedings Hybrid images

Antonio Torralba, Aude Oliva, Philippe G. Schyns, 2006 .

Recognizing City Identity via Attribute Analysis of Geo-tagged Images

Bolei Zhou, Liu Liu, Antonio Torralba, 2014, ECCV.

Shape from Sheen

Edward H. Adelson, Antonio Torralba, Roland W. Fleming, 2009 .

3D Interpreter Networks for Viewer-Centered Wireframe Modeling

Yuandong Tian, Jiajun Wu, Joshua B. Tenenbaum, 2018, International Journal of Computer Vision.

The Sound of Pixels pdf

Chuang Gan, Antonio Torralba, Carl Vondrick, 2018, ECCV.

Context models and out-of-context objects

Antonio Torralba, Alan S. Willsky, Myung Jin Choi, 2012, Pattern Recognit. Lett..

Depth Estimation from Image Structure

Antonio Torralba, Aude Oliva, A. Torralba, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Following Gaze Across Views pdf

Antonio Torralba, Aditya Khosla, Carl Vondrick, 2016, ArXiv.

Quantifying Context Effects on Image Memorability.

Antonio Torralba, Aude Oliva, Phillip Isola, 2015, Journal of vision.

A 2d + 3d rich data approach to scene understanding

Jianxiong Xiao, Antonio Torralba, A. Torralba, 2013 .

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

Antonio Torralba, Amaia Salvador, Ingmar Weber, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles

Frédo Durand, Gregory W. Wornell, Antonio Torralba, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Single Image 3D Interpreter Network pdf

Yuandong Tian, Jiajun Wu, Joshua B. Tenenbaum, 2016, ECCV.

Sharing features: efficient boosting procedures for multiclass object detection

Antonio Torralba, William T. Freeman, Kevin Murphy, 2004, CVPR 2004.

A Framework for Encoding Object-level Image Priors

Antonio Torralba, Ce Liu, Jenny Yuen, 2011 .

Context-based vision system for place and object recognition

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Hybrid images

Antonio Torralba, Aude Oliva, Philippe G. Schyns, 2006, SIGGRAPH 2006.

The Sound of Motions

Chuang Gan, Antonio Torralba, Hang Zhao, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily

Antonio Torralba, Ingmar Weber, Ferda Ofli, 2018, SocInfo.

Notes on image annotation pdf

Antonio Torralba, Adela Barriuso, A. Torralba, 2012, ArXiv.

Dataset Distillation pdf

Alexei A. Efros, Antonio Torralba, Jun-Yan Zhu, 2018, ArXiv.

FPM: Fine Pose Parts-Based Model with 3D CAD Models

Antonio Torralba, Joseph J. Lim, Aditya Khosla, 2014, ECCV.

Learning Deep Features for Discriminative Localization

Bolei Zhou, Antonio Torralba, Aude Oliva, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Synthesizing Environment-Aware Activities via Activity Sketches

Sanja Fidler, Antonio Torralba, Yuan-Hong Liao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Modifying a face to make it more memorable or forgettable

Antonio Torralba, Aude Oliva, Wilma A. Bainbridge, 2014 .

What makes an image memorable?

Jianxiong Xiao, Antonio Torralba, Aude Oliva, 2011, CVPR 2011.

Turning Corners into Cameras: Principles and Methods

Frédo Durand, Gregory W. Wornell, Antonio Torralba, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Image memorability and visual inception

Jianxiong Xiao, Antonio Torralba, Aude Oliva, 2012, SIGGRAPH Asia Technical Briefs.

Understanding Intra-Class Knowledge Inside CNN pdf

Bolei Zhou, Antonio Torralba, William T. Freeman, 2015, ArXiv.

Propagation Networks for Model-Based Control Under Partial Observation

Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Building the gist of a scene: the role of global image features in recognition.

Antonio Torralba, Aude Oliva, A. Torralba, 2006, Progress in brain research.

Understanding the Intrinsic Memorability of Images

Antonio Torralba, Aude Oliva, Phillip Isola, 2011, NIPS.

Modeling global scene factors in attention.

Antonio Torralba, A. Torralba, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Modifying the Memorability of Face Photographs

Antonio Torralba, Aude Oliva, Wilma A. Bainbridge, 2013, 2013 IEEE International Conference on Computer Vision.

Semi-Supervised Learning in Gigantic Image Collections

Antonio Torralba, Rob Fergus, Yair Weiss, 2009, NIPS.

Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.

Antonio Torralba, Aude Oliva, John M Henderson, 2006, Psychological review.

An efficient neuromorphic analog network for motion estimation

Antonio Torralba, Jeanny Herault, A. Torralba, 1999 .

Spectral Hashing

Antonio Torralba, Rob Fergus, Yair Weiss, 2008, NIPS.

Improving the design process of VLSI circuits by means of a hardware debugging system: UNSHADES-1 framework

Antonio Torralba, Leopoldo García Franquelo, Miguel Aguirre, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Unbiased look at dataset bias

Alexei A. Efros, Antonio Torralba, A. Torralba, 2011, CVPR 2011.

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes

Antonio Torralba, William T. Freeman, Kevin Murphy, 2003, NIPS.

Are all training examples equally valuable? pdf

Antonio Torralba, Àgata Lapedriza, Hamed Pirsiavash, 2013, ArXiv.

RF-based 3D skeletons

Antonio Torralba, Dina Katabi, Tianhong Li, 2018, SIGCOMM.

Real-Time Object Pose Estimation with Pose Interpreter Networks

Bolei Zhou, Antonio Torralba, Jimmy Wu, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Revisiting the Importance of Individual Units in CNNs via Ablation pdf

Bolei Zhou, Antonio Torralba, David Bau, 2018, ArXiv.

Understanding and Predicting Image Memorability at a Large Scale

Antonio Torralba, Aude Oliva, Aditya Khosla, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

SoundNet: Learning Sound Representations from Unlabeled Video

Antonio Torralba, Carl Vondrick, Yusuf Aytar, 2016, NIPS.

Benchmarking Convolutional Neural Networks for Object Segmentation and Pose Estimation

Antonio Torralba, Lei Hamilton, Tiffany Le, 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Building a database of 3D scenes from user annotations

Antonio Torralba, Bryan C. Russell, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Learning hierarchical models of scenes, objects, and parts

Antonio Torralba, William T. Freeman, Alan S. Willsky, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Cross-Modal Scene Networks

Antonio Torralba, Lluis Castrejon, Carl Vondrick, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Seeing What a GAN Cannot Generate

Bolei Zhou, Antonio Torralba, David Bau, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition

Antonio Torralba, William T. Freeman, Rob Fergus, 2022 .

Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models

Jiebo Luo, Qiang Ji, Thomas S. Huang, 2009, IEEE Trans. Pattern Anal. Mach. Intell..

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Bolei Zhou, Antonio Torralba, Aude Oliva, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract) pdf

Bolei Zhou, Joshua B. Tenenbaum, Antonio Torralba, 2019, ArXiv.

An ensemble prior of image structure for cross-modal inference

Antonio Torralba, William T. Freeman, Srinivas Ravela, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

A Data-Driven Approach for Event Prediction

Antonio Torralba, Jenny Yuen, A. Torralba, 2010, ECCV.

Acquiring Visual Classifiers from Human Imagination pdf

Antonio Torralba, Aude Oliva, Hamed Pirsiavash, 2014, ArXiv.

Assessing the Quality of Actions

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2014, ECCV.

Programmable analog hardware: a case study

Antonio Torralba, J. Faura, I. Lacadena, 1998, 1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196).

Anticipating the future by watching unlabeled video pdf

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2015, ArXiv.

Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture

Antonio Torralba, William T. Freeman, A. Torralba, 2012, CVPR.

Simultaneous detection and segmentation for generic objects

Antonio Torralba, Xavier Lladó, Jordi Freixenet, 2011, 2011 18th IEEE International Conference on Image Processing.

Learning with Hierarchical-Deep Models

Joshua B. Tenenbaum, Antonio Torralba, Ruslan Salakhutdinov, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Single Image Intrinsic Decomposition Without a Single Intrinsic Image

Bolei Zhou, Antonio Torralba, Raquel Urtasun, 2018, ECCV.

LabelMe: A Database and Web-Based Tool for Image Annotation

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2008, International Journal of Computer Vision.

What Makes a Photograph Memorable?

Jianxiong Xiao, Antonio Torralba, Aude Oliva, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Places: A 10 Million Image Database for Scene Recognition

Bolei Zhou, Antonio Torralba, Aude Oliva, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Shared Features for Multiclass Object Detection

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2006, Toward Category-Level Object Recognition.

Object Detection and Localization Using Local and Global Features

Antonio Torralba, Kevin P. Murphy, William T. Freeman, 2006, Toward Category-Level Object Recognition.

Scene-Centered Description from Spatial Envelope Properties

Antonio Torralba, Aude Oliva, A. Torralba, 2002, Biologically Motivated Computer Vision.

Unsupervised Detection of Regions of Interest Using Iterative Link Analysis

Antonio Torralba, Gunhee Kim, A. Torralba, 2009, NIPS.

Statistical context priming for object detection

Antonio Torralba, Prasun Sinha, A. Torralba, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Statistical Context Priming for Object Detection

Antonio Torralba, Pawan Sinha, A. Torralba, 2001, ICCV.

Contextual Priming for Object Detection

Antonio Torralba, A. Torralba, 2003, International Journal of Computer Vision.

Learning the signatures of the human grasp using a scalable tactile glove

Wojciech Matusik, Antonio Torralba, Jun-Yan Zhu, 2019, Nature.

Anticipating Visual Representations from Unlabeled Video

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scene Parsing through ADE20K Dataset

Bolei Zhou, Sanja Fidler, Antonio Torralba, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Deep Features for Scene Recognition using Places Database

Bolei Zhou, Jianxiong Xiao, Antonio Torralba, 2014, NIPS.

Memorability of Image Regions

Jianxiong Xiao, Antonio Torralba, Aude Oliva, 2012, NIPS.

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media pdf

Antonio Torralba, Ingmar Weber, Ferda Ofli, 2017, ICWSM.

Inverting and Visualizing Features for Object Detection pdf

Antonio Torralba, Tomasz Malisiewicz, Aditya Khosla, 2012, ArXiv.

A Compositional Object-Based Approach to Learning Physical Dynamics pdf

Joshua B. Tenenbaum, Antonio Torralba, Tomer Ullman, 2016, ICLR.

Connecting Touch and Vision via Cross-Modal Prediction

Antonio Torralba, Jun-Yan Zhu, Russ Tedrake, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Visualizing and Understanding GANs

Bolei Zhou, Joshua B. Tenenbaum, Antonio Torralba, 2019, DGS@ICLR.

Counterfactual Image Networks

Antonio Torralba, Carl Vondrick, Deniz Oktay, 2018 .

Dataset Issues in Object Recognition

Cordelia Schmid, David A. Forsyth, Martial Hebert, 2006, Toward Category-Level Object Recognition.

Describing Visual Scenes Using Transformed Objects and Parts

Antonio Torralba, William T. Freeman, Alan S. Willsky, 2008, International Journal of Computer Vision.

See, Hear, and Read: Deep Aligned Representations pdf

Antonio Torralba, Carl Vondrick, Yusuf Aytar, 2017, ArXiv.

Interpreting Deep Visual Representations via Network Dissection

Bolei Zhou, Antonio Torralba, Aude Oliva, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Benchmark of Computational Models of Saliency to Predict Human Fixations

Frédo Durand, Antonio Torralba, Tilke Judd, 2012 .

Meta-Sim: Learning to Generate Synthetic Datasets

Sanja Fidler, Ming-Yu Liu, Antonio Torralba, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Object and scene recognition in tiny images

Antonio Torralba, William T. Freeman, Rob Fergus, 2010 .

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

Antonio Torralba, Aude Oliva, A. Torralba, 2001, International Journal of Computer Vision.

Recognizing indoor scenes

Antonio Torralba, Ariadna Quattoni, A. Torralba, 2009, CVPR.

Small codes and large image databases for recognition

Antonio Torralba, Rob Fergus, Yair Weiss, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Learning visual biases from human imagination

Antonio Torralba, Aude Oliva, Hamed Pirsiavash, 2014, NIPS.

Properties and applications of shape recipes

Antonio Torralba, William T. Freeman, A. Torralba, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Basic level scene understanding: from labels to structure and beyond

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, 2012, SIGGRAPH Asia Technical Briefs.

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning

Andrew Owens, Jiajun Wu, Antonio Torralba, 2017, International Journal of Computer Vision.

Eye Tracking for Everyone

Wojciech Matusik, Harini Kannan, Suchendra M. Bhandarkar, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

HOGgles: Visualizing Object Detection Features

Antonio Torralba, Tomasz Malisiewicz, Aditya Khosla, 2013, 2013 IEEE International Conference on Computer Vision.

Predicting Motivations of Actions by Leveraging Text

Antonio Torralba, Hamed Pirsiavash, Carl Vondrick, 2014, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Visually Indicated Sounds

Andrew Owens, Edward H. Adelson, Antonio Torralba, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Localizing 3D cuboids in single-view images

Jianxiong Xiao, Antonio Torralba, Bryan C. Russell, 2012, NIPS.

Exemplar Network: A Generalized Mixture Model

Antonio Torralba, Tomasz Malisiewicz, Chikao Tsuchiya, 2014, 2014 22nd International Conference on Pattern Recognition.

Semantic organization of scenes using discriminant structural templates

Antonio Torralba, Aude Oliva, A. Torralba, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Search for arbitrary objects in natural scenes is remarkably efficient

George A. Alvarez, Antonio Torralba, Aude Oliva, 2010 .

LabelMe: Online Image Annotation and Applications By developing a publicly available tool that allows users to use the Internet to quickly and easily annotate images, the authors were able to collect many detailed image descriptions.

Antonio Torralba, Jenny Yuen, Bryan C. Russell, 2010 .

How to Make a Pizza: Learning a Compositional Layer-Based GAN Model

Antonio Torralba, Dim P. Papadopoulos, Ingmar Weber, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recognition with purely 3D information

Antonio Torralba, Pawan Sinha, Yuri Ostrovsky, 2010 .

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

James R. Glass, Antonio Torralba, Galen Chuang, 2018, International Journal of Computer Vision.

Modeling contextual influences on object recognition

Antonio Torralba, Aude Oliva, Prasun Sinha, 2010 .

Making use of CORDICs and distributed arithmetic to produce a field-programmable fuzzy logic controller in an FPGA

Antonio Torralba, T. Lund, Miguel Aguirre, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Modeling and Analysis of Dynamic Behaviors of Web Image Collections

Eric P. Xing, Antonio Torralba, Gunhee Kim, 2010, ECCV.

BARF: Bundle-Adjusting Neural Radiance Fields pdf

Antonio Torralba, Simon Lucey, Wei-Chiu Ma, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

3D Neural Scene Representations for Visuomotor Control pdf

Vincent Sitzmann, Antonio Torralba, Pulkit Agrawal, 2021, CoRL.

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

Sanja Fidler, Antonio Torralba, Huan Ling, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions pdf

Antonio Torralba, Josef Sivic, Bryan C. Russell, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

DriveGAN: Towards a Controllable High-Quality Neural Simulation

Sanja Fidler, Antonio Torralba, Jonah Philion, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

Sanja Fidler, Antonio Torralba, Karsten Kreis, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to See by Looking at Noise pdf

Antonio Torralba, Phillip Isola, Jonas Wulff, 2021, ArXiv.

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations pdf

Sanja Fidler, Antonio Torralba, Huan Ling, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI pdf

Joshua B. Tenenbaum, Antonio Torralba, James J DiCarlo, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

Wojciech Matusik, Joshua B. Tenenbaum, Antonio Torralba, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robust Contrastive Learning against Noisy Views

R Devon Hjelm, Antonio Torralba, Vibhav Vineet, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

EditGAN: High-Precision Semantic Image Editing pdf

Sanja Fidler, Antonio Torralba, Huan Ling, 2021, NeurIPS.

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos pdf

James Glass, Brian Kingsbury, Michael Picheny, 2021, Interspeech 2021.

What You Can Learn by Staring at a Blank Wall pdf

Gregory W. Wornell, Antonio Torralba, William T. Freeman, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

GAN-Supervised Dense Visual Alignment pdf

Alexei A. Efros, Antonio Torralba, Eli Shechtman, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Paint by Word pdf

Antonio Torralba, Aude Oliva, David Bau, 2021, ArXiv.

Editing a classifier by rewriting its prediction rules pdf

Antonio Torralba, Aleksander Madry, David Bau, 2021, NeurIPS.

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration pdf

Sanja Fidler, Joshua B. Tenenbaum, Antonio Torralba, 2020, ICLR.

Measuring Generalization with Optimal Transport pdf

Kristjan H. Greenewald, Antonio Torralba, Youssef Mroueh, 2021, NeurIPS.

Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents pdf

Antonio Torralba, Dim P. Papadopoulos, Muhammad Imran, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Scaling up instance annotation via label propagation pdf

Antonio Torralba, Dim P. Papadopoulos, Ethan Weber, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Toward a Visual Concept Vocabulary for GAN Latent Space pdf

Jacob Andreas, Antonio Torralba, David Bau, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Compose Visual Relations pdf

Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, 2021, NeurIPS.

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering pdf

Sanja Fidler, Jun Gao, Antonio Torralba, 2021, ICLR.

Natural Language Descriptions of Deep Visual Features

Jacob Andreas, Antonio Torralba, David Bau, 2022 .

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning pdf

Joshua B. Tenenbaum, Antonio Torralba, Yining Hong, 2021, NeurIPS.

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales pdf

Robert J. Wood, Shafi Goldwasser, Antonio Torralba, 2021, ArXiv.

Ego4D: Around the World in 3,000 Hours of Egocentric Video pdf

James M. Rehg, Bernard Ghanem, C. V. Jawahar, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OPEn: An Open-ended Physics Environment for Learning Without a Task

Joshua B. Tenenbaum, Antonio Torralba, Phillip Isola, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Skill Induction and Planning with Latent Language pdf

Jacob Andreas, Antonio Torralba, Pratyusha Sharma, 2021, ArXiv.

Causal Discovery in Physical Systems from Videos pdf

Dieter Fox, Antonio Torralba, Animesh Garg, 2020, NeurIPS.

Computer Vision in the Operating Room: Opportunities and Caveats

Marco A. Zenati, Pietro Perona, Antonio Torralba, 2021, IEEE Transactions on Medical Robotics and Bionics.

Top-down control of visual attention in real world scenes

Antonio Torralba, Aude Oliva, Monica S. Castelhano, 2010 .