Greg Mori

Affiliations:
  • Simon Fraser University, Burnaby, Canada


According to our database1, Greg Mori authored at least 177 papers between 2001 and 2024.

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Bibliography

2024
Attention as an RNN.
CoRR, 2024

Pretext Training Algorithms for Event Sequence Data.
CoRR, 2024

OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis.
CoRR, 2024

Embodied Human Activity Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations.
CoRR, 2022

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression.
Proceedings of the International Conference on Machine Learning, 2022

Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Learning Approaches for Long-Term Action Anticipation.
Proceedings of the Computer Vision - ECCV 2022, 2022

TD-GEN: Graph Generation Using Tree Decomposition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
D3D-HOI: Dynamic 3D Human-Object Interactions from Videos.
CoRR, 2021

TD-GEN: Graph Generation With Tree Decomposition.
CoRR, 2021

Activity Graph Transformer for Temporal Action Localization.
CoRR, 2021

Continuous Latent Process Flows.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural fidelity warping for efficient robot morphology design.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Discriminative Prototypes With Dynamic Time Warping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MUSE: Feature Self-Distillation with Mutual Information and Self-Information.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Cophy: Counterfactual Learning of Physical Dynamics.
Dataset, January, 2020

Deep Neural Network Compression by In-Parallel Pruning-Quantization.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Structured Label Inference for Visual Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Guest Editorial: Special Issue on ACCV 2018.
Int. J. Comput. Vis., 2020

MCMI: Multi-Cycle Image Translation with Mutual Information Constraints.
CoRR, 2020

Variational Hyper RNN for Sequence Modeling.
CoRR, 2020

Adapting Grad-CAM for Embedding Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Relational Graph Learning for Crowd Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CoPhy: Counterfactual Learning of Physical Dynamics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Generating Videos of Zero-Shot Compositions of Actions and Objects.
Proceedings of the Computer Vision - ECCV 2020, 2020

House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Point Process Flows.
CoRR, 2019

Graph Generation with Variational Recurrent Neural Network.
CoRR, 2019

Policy Message Passing: A New Algorithm for Probabilistic Graph Inference.
CoRR, 2019

Continuous Graph Flow for Flexible Density Estimation.
CoRR, 2019

Variational Autoencoders with Jointly Optimized Latent Dependency Structure.
Proceedings of the 7th International Conference on Learning Representations, 2019

Object Grounding via Iterative Context Reasoning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Lifelong GAN: Continual Learning for Conditional Image Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Similarity-Preserving Knowledge Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

LayoutVAE: Stochastic Scene Layout Generation From a Label Set.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

VideoWhiz: Non-Linear Interactive Overviews for Recipe Videos.
Proceedings of the 45th Graphics Interface Conference 2019, 2019

A Variational Auto-Encoder Model for Stochastic Point Processes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Deep ConvNet for Multi-Label Classification With Partial Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Selective Autoencoder.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos.
Int. J. Comput. Vis., 2018

Guest Editorial.
Comput. Vis. Image Underst., 2018

Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction.
CoRR, 2018

Distribution Aware Active Learning.
CoRR, 2018

Sparsely Connected Convolutional Networks.
CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Generic Tubelet Proposals for Action Localization.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Probabilistic Neural Programmed Networks for Scene Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparsely Aggregated Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Learning of Appearance Models for Online Object Tracking.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Hierarchical Relational Networks for Group Activity Recognition and Retrieval.
Proceedings of the Computer Vision - ECCV 2018, 2018

Probabilistic Video Generation Using Holistic Attribute Control.
Proceedings of the Computer Vision - ECCV 2018, 2018

Constraint-Aware Deep Neural Network Compression.
Proceedings of the Computer Vision - ECCV 2018, 2018

Object Level Visual Reasoning in Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adaptive Appearance Rendering.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.
Medical Biol. Eng. Comput., 2017

Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering.
CoRR, 2017

Hierarchical Label Inference for Video Classification.
CoRR, 2017

Learning Person Trajectory Representations for Team Activity Analysis.
CoRR, 2017

Active Learning for Structured Prediction from Partially Labeled Data.
CoRR, 2017

LabelBank: Revisiting Global Perspectives for Semantic Segmentation.
CoRR, 2017

Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Learning to Learn from Noisy Web Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Building Damage Assessment Using Deep Learning and Ground-Level Image Data.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Special Issue on Individual and Group Activities in Video Event Analysis.
Comput. Vis. Image Underst., 2016

Deep Learning of Appearance Models for Online Object Tracking.
CoRR, 2016

Hierarchical Deep Temporal Models for Group Activity Recognition.
CoRR, 2016

Recalling Holistic Information for Semantic Segmentation.
CoRR, 2016

Unsupervised learning of supervoxel embeddings for video Segmentation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

End-to-End Learning of Action Detection from Frame Glimpses in Videos.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Hierarchical Deep Temporal Model for Group Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Structured Inference Neural Networks with Label Relations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Discriminative key-component models for interaction detection and recognition.
Comput. Vis. Image Underst., 2015

Hierarchical Maximum-Margin Clustering.
CoRR, 2015

Pose Embeddings: A Deep Architecture for Learning to Match Human Poses.
CoRR, 2015

Object detection in surveillance video from dense trajectories.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Clustered Exemplar-SVM: Discovering sub-categories for visual recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning Temporal Embeddings for Complex Video Analysis.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discovering human interactions in videos with limited data labeling.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Visual recognition by counting instances: A multi-instance cardinality potential kernel.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection.
Proceedings of the British Machine Vision Conference 2015, 2015

Deep Structured Models For Group Activity Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Multimedia event detection with multimodal feature fusion and temporal concept localization.
Mach. Vis. Appl., 2014

"You are green": a touch-to-name interaction in an integrated multi-modal multi-robot HRI system.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Integrating multi-modal interfaces to command UAVs.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Discovering Video Clusters from Visual Features and Noisy Tags.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning Action Primitives for Multi-level Video Event Understanding.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Optimizing Nondecomposable Loss Functions in Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Classifying Road Users in Urban Scenes Using Movement Patterns.
J. Comput. Civ. Eng., 2013

Multiple Instance Learning by Discriminative Training of Markov Networks.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013


Latent Maximum Margin Clustering.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Segmental multi-way local pooling for video recognition.
Proceedings of the ACM Multimedia Conference, 2013

"You two! Take off!": Creating, modifying and commanding groups of robots using face engagement and indirect speech in voice commands.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

HRI in the sky: Creating and commanding teams of UAVs with a vision-mediated gestural interface.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A robust integrated system for selecting and commanding multiple mobile robots.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Handling Uncertain Tags in Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach.
Proceedings of the IEEE International Conference on Computer Vision, 2013

From Subcategories to Visual Composites: A Multi-level Framework for Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning Class-to-Image Distance with Object Matchings.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Max-Margin Riffled Independence Model for Image Tag Ranking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Discriminative Latent Models for Recognizing Contextual Group Activities.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

A large margin framework for single camera offline tracking with hybrid cues.
Comput. Vis. Image Underst., 2012


Kernel Latent SVM for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multiple instance real boosting with aggregation functions.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Image Retrieval with Structured Object Queries Using Latent Ranking SVM.
Proceedings of the Computer Vision - ECCV 2012, 2012

Complex loss optimization via dual decomposition.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Social roles in hierarchical models for human activity recognition.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis.
Int. J. Biomed. Imaging, 2011

GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

A discriminative key pose sequence model for recognizing human interactions.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Discriminative figure-centric models for joint action localization and recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Selecting and commanding groups in a multi-robot vision based system.
Proceedings of the 6th International Conference on Human Robot Interaction, 2011

Latent Boosting for Action Recognition.
Proceedings of the British Machine Vision Conference, 2011

Max-margin Latent Dirichlet Allocation for Image Classification and Annotation.
Proceedings of the British Machine Vision Conference, 2011

2010
SFU at TRECVid 2010: Surveillance Event Detection.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

A Discriminative Latent Model of Image Region and Object Tag Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Beyond Actions: Discriminative Models for Contextual Group Activities.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Selecting and commanding individual robots in a vision-based multi-robot system.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

A Discriminative Latent Model of Object Classes and Attributes.
Proceedings of the Computer Vision - ECCV 2010, 2010

Optimizing Complex Loss Functions in Structured Prediction.
Proceedings of the Computer Vision, 2010

Retrieving Actions in Group Contexts.
Proceedings of the Trends and Topics in Computer Vision, 2010

Recognizing human actions from still images with latent poses.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Max-Margin Offline Pedestrian Tracking with Multiple Cues.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Selecting and Commanding Individual Robots in a Multi-Robot System.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

2009
Human Action Recognition by Semilatent Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

BearCam: automated wildlife monitoring at the arctic circle.
Mach. Vis. Appl., 2009

Second and Third Canadian Conferences on Computer and Robot Vision.
Image Vis. Comput., 2009

SFU at TRECVid 2009: Event Detection.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

A Rate Distortion Approach for Semi-Supervised Conditional Random Fields.
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

Real-time Motion-based Gesture Recognition Using the GPU.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009

Human action recognition from a single clip per action.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Max-margin hidden conditional random fields for human action recognition.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Efficient Human Action Detection Using a Transferable Distance Function.
Proceedings of the Computer Vision, 2009

2008
Action-Based Multifield Video Visualization.
IEEE Trans. Vis. Comput. Graph., 2008

Human Pose Estimation with Rotated Geometric Blur.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Learning a discriminative hidden part model for human action recognition.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Boosting with incomplete information.
Proceedings of the Machine Learning, 2008

Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation.
Proceedings of the Computer Vision, 2008

Action recognition by learning mid-level motion features.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
One Fish, Two Fish, Butterfish, Trumpeter: Recognizing Fish in Underwater Video.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Action Recognition of Insects Using Spectral Clustering.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Human Pose Estimation using Motion Exemplars.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition.
Proceedings of the Human Motion, 2007

Boosted Multiple Deformable Trees for Parsing Human Poses.
Proceedings of the Human Motion, 2007

Detecting Pedestrians by Learning Shapelet Features.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Recovering 3D Human Body Configurations Using Shape Contexts.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Unsupervised Discovery of Action Classes.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Expression-Invariant Face Recognition with Expression Classification.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

Automatic Classification of Outdoor Images by Region Matching.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

Matching with Shape Contexts.
Proceedings of the Statistics and Analysis of Shapes, 2006

2005
Efficient Shape Matching Using Shape Contexts.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Guiding Model Search Using Segmentation.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Recovering Human Body Configurations: Combining Segmentation and Recognition.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Recognizing Action at a Distance.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Estimating Human Body Configurations Using Shape Context Matching.
Proceedings of the Computer Vision, 2002

2001
Shape contexts enable efficient retrieval of similar shapes.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001


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