Stephen Gould

发表

Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video

Gary R. Bradski, Benjamin Sapp, Andrew Y. Ng, 2007, IJCAI.

A Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos

Peter Lorenzen, Stephen Gould, Daniel B. Russakoff, 2014, IEEE Transactions on Medical Imaging.

An Exemplar-Based CRF for Multi-instance Object Segmentation

Xuming He, Stephen Gould, Stephen Gould, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Find Common Objects Across Image Collections pdf

Byron Boots, Amirreza Shaban, Richard I. Hartley, 2019, ArXiv.

Inferring Temporal Compositions of Actions Using Probabilistic Automata

Anoop Cherian, Basura Fernando, Stephen Gould, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Self-Supervised Video Representation Learning with Odd-One-Out Networks

Efstratios Gavves, Hakan Bilen, Basura Fernando, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation

Marcus Hutter, Stephen Gould, Di Yang, 2012, ACCV.

Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning

Xuming He, Buyu Liu, Stephen Gould, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Towards unsupervised semantic segmentation of street scenes from motion cues

Stephen Gould, Hajar Sadeghi Sokeh, Stephen Gould, 2012, IVCNZ '12.

Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling

Ian D. Reid, Stephen Gould, Yasir Latif, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Discriminative learning with latent variables for cluttered indoor scene understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, CACM.

Depth Dropout: Efficient Training of Residual Convolutional Neural Networks

Jian Guo, Stephen Gould, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Video Representation Learning Using Discriminative Pooling

Anoop Cherian, Fatih Murat Porikli, Stephen Gould, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Neural Algebra of Classifiers

Anoop Cherian, Basura Fernando, Stephen Gould, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling

Stephen Gould, Kyoungup Park, 2012, ECCV.

Segmentation of developing human embryo in time-lapse microscopy

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Human Pose Forecasting via Deep Markov Models

Anoop Cherian, Stephen Gould, Sam Toyer, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Learning Variations in Human Motion via Mix-and-Match Perturbation pdf

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2019, ArXiv.

Accelerated dual decomposition for MAP inference

Stephen Gould, Daphne Koller, Vladimir Jojic, 2010, ICML.

Multiclass pixel labeling with non-local matching constraints

Stephen Gould, Stephen Gould, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Dynamic Image Networks for Action Recognition

Andrea Vedaldi, Efstratios Gavves, Hakan Bilen, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images

Richard I. Hartley, Stephen Gould, Seyed Hamid Rezatofighi, 2012, MICCAI.

Representation Learning on Unit Ball with 3D Roto-translational Equivariance

Nick Barnes, Stephen Gould, Salman Khan, 2019, International Journal of Computer Vision.

Learning End-to-end Video Classification with Rank-Pooling

Basura Fernando, Stephen Gould, Stephen Gould, 2016, ICML.

Unsupervised Human Action Detection by Action Matching

Basura Fernando, Stephen Gould, Sareh Shirazi, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

SPICE: Semantic Propositional Image Caption Evaluation

Basura Fernando, Mark Johnson, Stephen Gould, 2016, ECCV.

The Angry Birds AI Competition

Peng Zhang, Stephen Gould, Jochen Renz, 2015, AI Mag..

Superpixel Graph Label Transfer with Learned Distance Metric

Xuming He, Stephen Gould, Yuhang Zhang, 2014, ECCV.

Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning

Stephen Gould, Jochen Renz, Hajar Sadeghi Sokeh, 2014, ACCV.

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation pdf

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2016, ECCV.

PatchMatchGraph: Building a Graph of Dense Patch Correspondences for Label Transfer

Stephen Gould, Yuhang Zhang, Stephen Gould, 2012, ECCV.

On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization pdf

Anoop Cherian, Basura Fernando, Stephen Gould, 2016, ArXiv.

Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization

Stephen Gould, Miaomiao Liu, Shihao Jiang, 2020, 2020 International Conference on 3D Vision (3DV).

Multi-instance Object Segmentation with Exemplars

Xuming He, Stephen Gould, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Efficient Extraction and Representation of Spatial Information from Video Data

Stephen Gould, Jochen Renz, Hajar Sadeghi Sokeh, 2013, IJCAI.

Simultaneous Multi-class Pixel Labeling over Coherent Image Sets

Stephen Gould, Paul Rivera, Stephen Gould, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Action Representation Using Classifier Decision Boundaries pdf

Anoop Cherian, Fatih Murat Porikli, Stephen Gould, 2017, ArXiv.

A framework for generating realistic synthetic sequences of total internal reflection fluorescence microscopy images

Richard I. Hartley, Stephen Gould, Seyed Hamid Rezatofighi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, ECCV.

A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences

Ba-Ngu Vo, Richard I. Hartley, Stephen Gould, 2013, IPMI.

Deep Declarative Networks: A New Hope pdf

Stephen Gould, Dylan Campbell, Richard Hartley, 2019, ArXiv.

Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes

Nick Barnes, Salman Khan, Stephen Gould, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

DARWIN: a framework for machine learning and computer vision research and development

Stephen Gould, 2012, J. Mach. Learn. Res..

A Signal Propagation Perspective for Pruning Neural Networks at Initialization pdf

Philip H. S. Torr, Stephen Gould, Thalaiyasingam Ajanthan, 2019, ICLR.

Human Action Forecasting by Learning Task Grammars pdf

Anoop Cherian, Stephen Gould, Jue Wang, 2017, ArXiv.

The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose pdf

Xin Yu, Stephen Gould, Dylan Campbell, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Joint semantic and geometric segmentation of videos with a stage model

Xuming He, Buyu Liu, Stephen Gould, 2014, IEEE Winter Conference on Applications of Computer Vision.

High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening

Quoc V. Le, Andrew Y. Ng, Ellen Klingbeil, 2009, 2009 IEEE International Conference on Robotics and Automation.

Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields

Stephen Gould, Stephen Gould, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Convolutional Neural Networks for Human Embryonic Cell Counting

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2016, ECCV Workshops.

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

Stephen Gould, Daphne Koller, Huayan Wang, 2010, ECCV.

Extending gene ontology in the context of extracellular RNA and vesicle communication

Kei-Hoi Cheung, Andrew I. Su, Kasey Vickers, 2016, Journal of biomedical semantics.

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation

Lars Petersson, Hongdong Li, Laurent Kneip, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation

Lars Petersson, Mathieu Salzmann, Stephen Gould, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Bounded Treewidth Bayesian Networks

Stephen Gould, Gal Elidan, Stephen Gould, 2008, NIPS.

A unified graphical models framework for automated human embryo tracking in time lapse microscopy

Peter Lorenzen, Stephen Gould, Daniel B. Russakoff, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Discriminative Hierarchical Rank Pooling for Activity Recognition

Marcus Hutter, Basura Fernando, Stephen Gould, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminatively Learned Hierarchical Rank Pooling Networks

Basura Fernando, Stephen Gould, Stephen Gould, 2017, International Journal of Computer Vision.

Decomposing a scene into geometric and semantically consistent regions

Stephen Gould, Daphne Koller, Richard Fulton, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Second-order Temporal Pooling for Action Recognition

Anoop Cherian, Stephen Gould, Stephen Gould, 2017, International Journal of Computer Vision.

Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences

Marcus Hutter, Stephen Gould, Di Yang, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Region-based Segmentation and Object Detection

Stephen Gould, Daphne Koller, Tianshi Gao, 2009, NIPS.

Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Learning to Find Common Objects Across Few Image Collections

Byron Boots, Amirreza Shaban, Stephen Gould, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Bottom-Up and Top-Down Attention for Image Captioning and VQA pdf

Lei Zhang, Stephen Gould, Mark Johnson, 2017, ArXiv.

Integrating Visual and Range Data for Robotic Object Detection

Andrew Y. Ng, Morgan Quigley, Stephen Gould, 2008, ECCV 2008.

Synthesizing Object-Background Data for Large 3-d Datasets

Andrew Y. Ng, Stephen Gould, David Breeden, 2008 .

Partially-Supervised Image Captioning

Mark Johnson, Stephen Gould, Peter Anderson, 2018, NeurIPS.

Single image depth estimation from predicted semantic labels

Stephen Gould, Daphne Koller, Beyang Liu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Method For Recognising An Activity In A Sequence Of Images

Marcus Hutter, Stephen Gould, Peter Anderson, 2019 .

Learning to Structure an Image With Few Colors

Liang Zheng, Stephen Gould, Yunzhong Hou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Lei Zhang, Xiaodong He, Mark Johnson, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Non-linear Temporal Subspace Representations for Activity Recognition

Anoop Cherian, Richard Hartley, Suvrit Sra, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development

Mathieu Salzmann, Stephen Gould, Aisha Khan, 2015, MLMI.

Cascaded Classification Models: Combining Models for Holistic Scene Understanding

Ashutosh Saxena, Stephen Gould, Daphne Koller, 2008, NIPS.

Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition

Anoop Cherian, Stephen Gould, Piotr Koniusz, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields

Stephen Gould, Stephen Gould, 2011, ICML.

DeepPermNet: Visual Permutation Learning

Anoop Cherian, Basura Fernando, Stephen Gould, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Unified Contour-Pixel Model for Figure-Ground Segmentation

Stephen Gould, Daphne Koller, Benjamin Packer, 2010, ECCV.

Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences

Ba-Ngu Vo, Ba-Tuong Vo, Richard I. Hartley, 2015, IEEE Transactions on Medical Imaging.

Generalized Rank Pooling for Activity Recognition

Anoop Cherian, Basura Fernando, Stephen Gould, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Alphabet SOUP: A framework for approximate energy minimization

Stephen Gould, Daphne Koller, Fernando Amat, 2009, CVPR.

DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares pdf

Stephen Gould, Yizhak Ben-Shabat, Stephen Gould, 2020, ECCV.

Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces

Hongdong Li, Marcus Hutter, Richard I. Hartley, 2014, ACCV Workshops.

Visual Permutation Learning

Anoop Cherian, Basura Fernando, Stephen Gould, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Spectral-GANs for High-Resolution 3D Point-cloud Generation pdf

Nick Barnes, Stephen Gould, Sameera Ramasinghe, 2019, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-Class Segmentation with Relative Location Prior

Stephen Gould, Daphne Koller, Gal Elidan, 2008, International Journal of Computer Vision.

Projected Subgradient Methods for Learning Sparse Gaussians

Stephen Gould, Daphne Koller, John C. Duchi, 2008, UAI.

Bidirectional Self-Normalizing Neural Networks pdf

Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan, 2020, ArXiv.

Deep CNN Ensemble with Data Augmentation for Object Detection pdf

Jian Guo, Stephen Gould, Stephen Gould, 2015, ArXiv.

Sub-Instruction Aware Vision-and-Language Navigation

Stephen Gould, Qi Wu, Cristian Rodriguez Opazo, 2020, EMNLP.

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

Qi Wu, Ian D. Reid, Niko Sünderhauf, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Appreciation to IJCV Reviewers

Reinhard Koch, Iasonas Kokkinos, Jan-Michael Frahm, 2012, International Journal of Computer Vision.

Alphabet SOUP: A framework for approximate energy minimization

Stephen Gould, Daphne Koller, Fernando Amat, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Guided Open Vocabulary Image Captioning with Constrained Beam Search

Basura Fernando, Mark Johnson, Stephen Gould, 2016, EMNLP.

Deep Declarative Networks

Stephen Gould, Richard Hartley, Dylan John Campbell, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models pdf

Stephen Gould, Damien Teney, Cristian Rodriguez-Opazo, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

A Regularized Wasserstein Framework for Graph Kernels

Stephen Gould, Asiri Wijesinghe, Qing Wang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

DiGS : Divergence guided shape implicit neural representation for unoriented point clouds pdf

Stephen Gould, Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, 2021, ArXiv.

Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer pdf

Stephen Gould, Dylan Campbell, Frederic Z. Zhang, 2021, ArXiv.

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?

Stephen Gould, Liang Zheng, Weijian Deng, 2021, ICML.

STAIR: The STanford Artificial Intelligence Robot project

Ashutosh Saxena, Andrew Y. Ng, Morgan Quigley, 2008 .