Stephen Gould

According to our database1, Stephen Gould authored at least 88 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Partially-Supervised Image Captioning.
CoRR, 2018

Non-Linear Temporal Subspace Representations for Activity Recognition.
CoRR, 2018

Video Representation Learning Using Discriminative Pooling.
CoRR, 2018

Neural Algebra of Classifiers.
CoRR, 2018

Neural Algebra of Classifiers.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Discriminatively Learned Hierarchical Rank Pooling Networks.
International Journal of Computer Vision, 2017

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments.
CoRR, 2017

Human Action Forecasting by Learning Task Grammars.
CoRR, 2017

Action Representation Using Classifier Decision Boundaries.
CoRR, 2017

Human Pose Forecasting via Deep Markov Models.
CoRR, 2017

Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation.
CoRR, 2017

Discriminatively Learned Hierarchical Rank Pooling Networks.
CoRR, 2017

DeepPermNet: Visual Permutation Learning.
CoRR, 2017

Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition.
CoRR, 2017

Second-order Temporal Pooling for Action Recognition.
CoRR, 2017

Generalized Rank Pooling for Activity Recognition.
CoRR, 2017

Bottom-Up and Top-Down Attention for Image Captioning and VQA.
CoRR, 2017

Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Guided Open Vocabulary Image Captioning with Constrained Beam Search.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Human Pose Forecasting via Deep Markov Models.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Unsupervised Human Action Detection by Action Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Self-Supervised Video Representation Learning with Odd-One-Out Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DeepPermNet: Visual Permutation Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Generalized Rank Pooling for Activity Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
CoRR, 2016

On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization.
CoRR, 2016

Unsupervised Human Action Detection by Action Matching.
CoRR, 2016

Self-Supervised Video Representation Learning With Odd-One-Out Networks.
CoRR, 2016

Guided Open Vocabulary Image Captioning with Constrained Beam Search.
CoRR, 2016

SPICE: Semantic Propositional Image Caption Evaluation.
CoRR, 2016

Extending gene ontology in the context of extracellular RNA and vesicle communication.
J. Biomedical Semantics, 2016

Segmentation of developing human embryo in time-lapse microscopy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning End-to-end Video Classification with Rank-Pooling.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Convolutional Neural Networks for Human Embryonic Cell Counting.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

SPICE: Semantic Propositional Image Caption Evaluation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Depth Dropout: Efficient Training of Residual Convolutional Neural Networks.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Discriminative Hierarchical Rank Pooling for Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Dynamic Image Networks for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences.
IEEE Trans. Med. Imaging, 2015

Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences.
CoRR, 2015

Deep CNN Ensemble with Data Augmentation for Object Detection.
CoRR, 2015

The Angry Birds AI Competition.
AI Magazine, 2015

Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
A Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos.
IEEE Trans. Med. Imaging, 2014

Scene understanding by labeling pixels.
Commun. ACM, 2014

Joint semantic and geometric segmentation of videos with a stage model.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

A unified graphical models framework for automated human embryo tracking in time lapse microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Superpixel Graph Label Transfer with Learned Distance Metric.
Proceedings of the Computer Vision - ECCV 2014, 2014

Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

An Exemplar-Based CRF for Multi-instance Object Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning.
Proceedings of the Computer Vision - ACCV 2014, 2014

Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Discriminative learning with latent variables for cluttered indoor scene understanding.
Commun. ACM, 2013

The Cyber Challenge - a Robotics Project to Enthuse.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

A framework for generating realistic synthetic sequences of total internal reflection fluorescence microscopy images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences.
Proceedings of the Information Processing in Medical Imaging, 2013

Efficient Extraction and Representation of Spatial Information from Video Data.
Proceedings of the IJCAI 2013, 2013

2012
DARWIN: a framework for machine learning and computer vision research and development.
Journal of Machine Learning Research, 2012

Projected Subgradient Methods for Learning Sparse Gaussians
CoRR, 2012

Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Towards unsupervised semantic segmentation of street scenes from motion cues.
Proceedings of the Image and Vision Computing New Zealand, 2012

On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling.
Proceedings of the Computer Vision - ECCV 2012, 2012

PatchMatchGraph: Building a Graph of Dense Patch Correspondences for Label Transfer.
Proceedings of the Computer Vision - ECCV 2012, 2012

Multiclass pixel labeling with non-local matching constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields.
Proceedings of the 28th International Conference on Machine Learning, 2011

Simultaneous Multi-class Pixel Labeling over Coherent Image Sets.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010
Accelerated dual decomposition for MAP inference.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding.
Proceedings of the Computer Vision, 2010

Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding.
Proceedings of the Computer Vision, 2010

A Unified Contour-Pixel Model for Figure-Ground Segmentation.
Proceedings of the Computer Vision - ECCV 2010, 2010

Single image depth estimation from predicted semantic labels.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Region-based Segmentation and Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Decomposing a scene into geometric and semantically consistent regions.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Alphabet SOUP: A framework for approximate energy minimization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Multi-Class Segmentation with Relative Location Prior.
International Journal of Computer Vision, 2008

Projected Subgradient Methods for Learning Sparse Gaussians.
Proceedings of the UAI 2008, 2008

Cascaded Classification Models: Combining Models for Holistic Scene Understanding.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning Bounded Treewidth Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video.
Proceedings of the IJCAI 2007, 2007


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