Gregory Peter Mori
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Gregory Peter Moriengineering Degrees
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Gregory Peter Moricomputer-science Degrees
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Engineering Computer Science
Gregory Peter Mori's Degrees
- PhD Electrical Engineering and Computer Science Stanford University
- Masters Electrical Engineering and Computer Science Stanford University
- Bachelors Electrical Engineering and Computer Science Stanford University
Why Is Gregory Peter Mori Influential?
(Suggest an Edit or Addition)Gregory Peter Mori's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Recognizing action at a distance (2003) (1490)
- Recognizing objects in adversarial clutter: breaking a visual CAPTCHA (2003) (695)
- Recovering human body configurations: combining segmentation and recognition (2004) (653)
- End-to-End Learning of Action Detection from Frame Glimpses in Videos (2015) (550)
- Action recognition by learning mid-level motion features (2008) (541)
- Similarity-Preserving Knowledge Distillation (2019) (488)
- Efficient shape matching using shape contexts (2005) (450)
- Estimating Human Body Configurations Using Shape Context Matching (2002) (431)
- Detecting Pedestrians by Learning Shapelet Features (2007) (428)
- Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos (2015) (359)
- Guiding model search using segmentation (2005) (357)
- A Hierarchical Deep Temporal Model for Group Activity Recognition (2015) (338)
- Human Action Recognition by Semilatent Topic Models (2009) (315)
- Recovering 3D human body configurations using shape contexts (2006) (302)
- Discriminative Latent Models for Recognizing Contextual Group Activities (2012) (280)
- A Discriminative Latent Model of Object Classes and Attributes (2010) (256)
- Discriminative figure-centric models for joint action localization and recognition (2011) (253)
- Recognizing human actions from still images with latent poses (2010) (225)
- Max-margin hidden conditional random fields for human action recognition (2009) (216)
- Social roles in hierarchical models for human activity recognition (2012) (214)
- Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin (2011) (214)
- Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning (2009) (209)
- Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition (2015) (206)
- Shape contexts enable efficient retrieval of similar shapes (2001) (200)
- Unsupervised Discovery of Action Classes (2006) (176)
- CLIP-Q: Deep Network Compression Learning by In-parallel Pruning-Quantization (2018) (163)
- Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation (2008) (161)
- Learning a Deep ConvNet for Multi-Label Classification With Partial Labels (2019) (138)
- 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 (2016) (134)
- Object Level Visual Reasoning in Videos (2018) (129)
- Learning Structured Inference Neural Networks with Label Relations (2015) (120)
- Beyond Actions: Discriminative Models for Contextual Group Activities (2010) (110)
- Lifelong GAN: Continual Learning for Conditional Image Generation (2019) (107)
- Scaling Human-Object Interaction Recognition Through Zero-Shot Learning (2018) (104)
- Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition (2007) (102)
- HRI in the sky: Creating and commanding teams of UAVs with a vision-mediated gestural interface (2013) (100)
- One Fish, Two Fish, Butterfish, Trumpeter: Recognizing Fish in Underwater Video (2007) (94)
- Deep Structured Models For Group Activity Recognition (2015) (90)
- Human Action Recognition by Semi-Latent Topic Models (2009) (88)
- Learning a discriminative hidden part model for human action recognition (2008) (86)
- House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation (2020) (84)
- Deep Neural Network Compression by In-Parallel Pruning-Quantization (2020) (83)
- A discriminative key pose sequence model for recognizing human interactions (2011) (82)
- Hierarchical Relational Networks for Group Activity Recognition and Retrieval (2018) (82)
- Expression-Invariant Face Recognition with Expression Classification (2006) (80)
- LayoutVAE: Stochastic Scene Layout Generation From a Label Set (2019) (76)
- Probabilistic Video Generation using Holistic Attribute Control (2018) (74)
- Visual recognition by counting instances: A multi-instance cardinality potential kernel (2015) (74)
- Learning Temporal Embeddings for Complex Video Analysis (2015) (70)
- COPHY: Counterfactual Learning of Physical Dynamics (2019) (69)
- Relational Graph Learning for Crowd Navigation (2019) (63)
- Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach (2013) (62)
- Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification (2012) (60)
- Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers. (2014) (59)
- Image Retrieval with Structured Object Queries Using Latent Ranking SVM (2012) (56)
- Human Pose Estimation using Motion Exemplars (2007) (56)
- Constraint-Aware Deep Neural Network Compression (2018) (56)
- Action-Based Multifield Video Visualization (2008) (55)
- “You two! Take off!”: Creating, modifying and commanding groups of robots using face engagement and indirect speech in voice commands (2013) (55)
- Retrieving Actions in Group Contexts (2010) (53)
- Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets (2017) (51)
- Multimedia event detection with multimodal feature fusion and temporal concept localization (2013) (51)
- Sparsely Aggregated Convolutional Networks (2018) (51)
- Human action recognition from a single clip per action (2009) (48)
- Building Damage Assessment Using Deep Learning and Ground-Level Image Data (2017) (46)
- Factorized Variational Autoencoders for Modeling Audience Reactions to Movies (2017) (46)
- Activity Graph Transformer for Temporal Action Localization (2021) (44)
- Pedestrian gait analysis using automated computer vision techniques (2014) (44)
- Deep Learning of Appearance Models for Online Object Tracking (2016) (43)
- A Variational Auto-Encoder Model for Stochastic Point Processes (2019) (40)
- Automated Collection of Pedestrian Data through Computer Vision Techniques (2012) (40)
- Max-margin Latent Dirichlet Allocation for Image Classification and Annotation (2011) (39)
- Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization (2013) (36)
- Real-time Motion-based Gesture Recognition Using the GPU (2009) (36)
- A Discriminative Latent Model of Image Region and Object Tag Correspondence (2010) (36)
- BearCam: automated wildlife monitoring at the arctic circle (2009) (33)
- Discriminative key-component models for interaction detection and recognition (2015) (33)
- Kernel Latent SVM for Visual Recognition (2012) (32)
- Selecting and Commanding Individual Robots in a Multi-Robot System (2010) (32)
- A large margin framework for single camera offline tracking with hybrid cues (2012) (31)
- From Subcategories to Visual Composites: A Multi-level Framework for Object Detection (2013) (31)
- Deep Learning of Player Trajectory Representations for Team Activity Analysis (2018) (31)
- Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization (2017) (30)
- A robust integrated system for selecting and commanding multiple mobile robots (2013) (30)
- Learning to Learn from Noisy Web Videos (2017) (30)
- Adapting Grad-CAM for Embedding Networks (2020) (29)
- Latent Maximum Margin Clustering (2013) (26)
- Pose Embeddings: A Deep Architecture for Learning to Match Human Poses (2015) (26)
- Generic Tubelet Proposals for Action Localization (2017) (25)
- Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows (2020) (25)
- Selecting and commanding individual robots in a vision-based multi-robot system (2010) (24)
- Optimizing Nondecomposable Loss Functions in Structured Prediction (2013) (23)
- Handling Uncertain Tags in Visual Recognition (2013) (23)
- Optimizing Complex Loss Functions in Structured Prediction (2010) (21)
- Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection (2015) (21)
- Efficient Human Action Detection Using a Transferable Distance Function (2009) (20)
- Multiple Instance Learning by Discriminative Training of Markov Networks (2013) (20)
- Action Recognition of Insects Using Spectral Clustering (2007) (20)
- Selecting and commanding groups in a multi-robot vision based system (2011) (19)
- Human Limb Delineation and Joint Position Recovery Using Localized Boundary Models (2007) (19)
- Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines (2012) (19)
- Discovering human interactions in videos with limited data labeling (2015) (18)
- “You are Green”: a Touch-to-Name Interaction in an Integrated Multi-Modal Multi-Robot HRI System (2014) (17)
- A Rate Distortion Approach for Semi-Supervised Conditional Random Fields (2009) (17)
- LabelBank: Revisiting Global Perspectives for Semantic Segmentation (2017) (17)
- A Max-Margin Riffled Independence Model for Image Tag Ranking (2013) (16)
- Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation (2021) (16)
- Structured Label Inference for Visual Understanding (2018) (16)
- Learning Discriminative Prototypes with Dynamic Time Warping (2021) (15)
- Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation (2021) (15)
- Automatic Classification of Outdoor Images by Region Matching (2006) (14)
- Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks (2017) (14)
- Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis (2011) (13)
- Probabilistic Neural Programmed Networks for Scene Generation (2018) (13)
- D3D-HOI: Dynamic 3D Human-Object Interactions from Videos (2021) (13)
- Multiple instance real boosting with aggregation functions (2012) (12)
- Graph Generation with Variational Recurrent Neural Network (2019) (12)
- Variational Autoencoders with Jointly Optimized Latent Dependency Structure (2018) (11)
- Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction (2018) (11)
- Learning Action Primitives for Multi-level Video Event Understanding (2014) (11)
- Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables (2015) (10)
- GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features (2011) (10)
- Computer Vision Techniques to Collect Helmet-Wearing Data on Cyclists (2014) (10)
- Discovering Video Clusters from Visual Features and Noisy Tags (2014) (10)
- Motion estimation for functional medical imaging studies using a stereo video head pose tracking system (2008) (10)
- Learning Person Trajectory Representations for Team Activity Analysis (2017) (9)
- Object Grounding via Iterative Context Reasoning (2019) (9)
- Video Based Motion Synthesis by Splicing and Morphing (2004) (9)
- Sparsely Connected Convolutional Networks (2018) (8)
- Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video (2017) (8)
- Generating Videos of Zero-Shot Compositions of Actions and Objects (2019) (8)
- Continuous Graph Flow (2019) (8)
- Complex loss optimization via dual decomposition (2012) (8)
- Learning Class-to-Image Distance with Object Matchings (2013) (8)
- Boosting with incomplete information (2008) (7)
- Latent Boosting for Action Recognition (2011) (7)
- Segmental multi-way local pooling for video recognition (2013) (7)
- TRECVID 2012 GENIE: Multimedia Event Detection and Recounting (2012) (7)
- Integrating multi-modal interfaces to command UAVs (2014) (7)
- Max-Margin Offline Pedestrian Tracking with Multiple Cues (2010) (7)
- Boosted Multiple Deformable Trees for Parsing Human Poses (2007) (6)
- Learning Transferable Distance Functions for Human Action Recognition (2010) (6)
- SFU at TRECVid 2009: Event Detection (2009) (6)
- Continuous Latent Process Flows (2021) (5)
- Object detection in surveillance video from dense trajectories (2015) (5)
- VideoWhiz: Non-Linear Interactive Overviews for Recipe Videos (2019) (5)
- Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data (2021) (5)
- SFU at TRECVid 2010: Surveillance Event Detection (2010) (5)
- Point Process Flows (2019) (5)
- Classifying Road Users in Urban Scenes Using Movement Patterns (2013) (4)
- Computer Vision – ACCV 2018 (2018) (4)
- Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space (2022) (4)
- Variational Selective Autoencoder (2019) (4)
- RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression (2022) (4)
- Neural fidelity warping for efficient robot morphology design (2020) (3)
- Automated Region-Based Vehicle Conflict Detection Using Computer Vision Techniques (2015) (3)
- Continuous Graph Flow for Flexible Density Estimation (2019) (3)
- Distribution Aware Active Learning (2018) (3)
- Unsupervised learning of supervoxel embeddings for video Segmentation (2016) (3)
- Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video (2013) (3)
- Clustered Exemplar-SVM: Discovering sub-categories for visual recognition (2015) (3)
- Recalling Holistic Information for Semantic Segmentation (2016) (3)
- Active Learning for Structured Prediction from Partially Labeled Data (2017) (3)
- Hierarchical Maximum-Margin Clustering (2015) (2)
- Hierarchical Label Inference for Video Classification (2017) (2)
- Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV (2019) (2)
- Special Issue on Individual and Group Activities in Video Event Analysis (2016) (2)
- Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering (2017) (2)
- Computer Vision – ACCV 2018 (2018) (2)
- Integrating Multi-Modal Interfaces to Command UAVs [Video Abstract] (2014) (2)
- Variational Hyper RNN for Sequence Modeling (2019) (2)
- Human Pose Estimation with Rotated Geometric Blur (2008) (2)
- Adaptive Appearance Rendering (2021) (1)
- TD-GEN: Graph Generation With Tree Decomposition (2021) (1)
- MUSE: Feature Self-Distillation with Mutual Information and Self-Information (2021) (1)
- Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification (2022) (1)
- Deep ConvNet for Multi-label Classification with Partial Labels-Supplementary (2019) (1)
- Rethinking Learning Approaches for Long-Term Action Anticipation (2022) (1)
- Second and Third Canadian Conferences on Computer and Robot Vision (2009) (1)
- Guest Editorial: Special Issue on ACCV 2018 (2020) (0)
- Deep Generative Models (2018) (0)
- Responsive Video-Based Motion Synthesis (2007) (0)
- Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification Supplementary material (2022) (0)
- Next : When , Where , What ? “ Pass ” “ Receive ” “ Carry ” “ Dump ” (2018) (0)
- Computer Vision – ACCV 2018 (2018) (0)
- Guest Editorial: Special Issue on ACCV 2018 (2020) (0)
- TD-GEN: Graph Generation Using Tree Decomposition (2022) (0)
- Learning from Partially-Observed Multimodal Data with Variational Autoencoders (2019) (0)
- 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 (2016) (0)
- Do object viewing strategies change when parts are ambiguous (2003) (0)
- While Canada remains the dominant source of papers, this year's CRV features 21 papers from international participants (30 percent). (2006) (0)
- Policy Message Passing: A New Algorithm for Probabilistic Graph Inference (2019) (0)
- MCMI: Multi-Cycle Image Translation with Mutual Information Constraints (2020) (0)
- Special Issue on ACCV 2018 (2020) (0)
- Discriminative Latent Variable Models for Human Action Recognition (2013) (0)
- Policy Message Passing: Modeling Trajectories for Probabilistic Graph Inference (2021) (0)
- Guest Editorial (2018) (0)
- Monitoring Creatures Great and Small : Computer Vision Systems for Looking at Grizzly Bears , Fish , and Grasshoppers (2008) (0)
- Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points (2021) (0)
- Continuous-time Particle Filtering for Latent Stochastic Differential Equations (2022) (0)
- DISTINGUISHING NEAR-FALLS FROM ACTIVITIES OF DAILY LIVING USING TRIAXIAL ACCELEROMETERS (2012) (0)
- Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation (2021) (0)
- ACTIVE DEEP LEARNING FOR EFFICIENT AERIAL IMAGE LABELLING IN DISASTER RESPONSE (2016) (0)
- Recurrent Neural Networks-Greg Mori-CMPT 419/726 (2016) (0)
- Arbitrarily-conditioned Data Imputation (2019) (0)
- Multimedia event detection with multimodal feature fusion and temporal concept localization (2013) (0)
- Detecting and localizing human figures (2004) (0)
- Scene Person Structure Inference Machine Structure Inference Machine Structure Inference Machine Walking ? Waiting ? Waiting Waiting Waiting Walking Waiting Waiting Walking Waiting (2018) (0)
- F ILTERED -C O P HY : U NSUPERVISED L EARNING OF C OUNTERFACTUAL P HYSICS IN P IXEL S PACE (2022) (0)
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