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Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani,
Chen Chen and
Mubarak Shah |
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An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou,
Chen Chen and
Mubarak Shah |
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Unsupervised Action Discovery and Localization in Videos
Khurram Soomro and
Mubarak Shah |
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Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou,
Chen Chen and
Mubarak Shah |
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Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery
Rui Hou,
Rahul Sukthankar and
Mubarak Shah |
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Automatic Action Annotation in Weakly Labeled Videos
Waqas Sultani and
Mubarak Shah |
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Unsupervised Action Proposal Ranking through Proposal Recombination
Waqas Sultani,
Dong Zhang and
Mubarak Shah |
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Action Localization in Videos through Context Walk
Khurram Soomro,
Haroon Idrees and
Mubarak Shah |
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Predicting the Where and What of actors and actions through Online Action Localization
Khurram Soomro,
Haroon Idrees and
Mubarak Shah |
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What if we do not have multiple videos of the same action? Video Action Localization Using Web Images
Waqas Sultani and
Mubarak Shah |
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Video Classification using Semantic Concept Co-occurrences
Shayan Modiri Assari,
Amir Roshan Zamir and
Mubarak Shah |
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Cross Dataset Action Recognition
Waqas Sultani and
Imran Saleemi |
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Action Recognition By Motion Decomposition
Shandong Wu,
Omar Oreifej and
Mubarak Shah |
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DaMN-Discriminative and Mutually Nearest
Rui Hou,
Amir Roshan Zamir,
Rahul Sukthankar and
Mubarak Shah |
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Recognizing 50 Human Action Categories of Web Videos
Kishore Reddy and
Mubarak Shah |
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HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
Omar Oreifej and
Zicheng Liu |
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Classifying Web Videos using a Global Video Descriptor
Berkan Solmaz,
Shayan Modiri Assari, and
Mubarak Shah |
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Matching Trajectories of Anatomical Landmarks under Viewpoint Anthropometric, and Temporal Transforms
Alexei Gritai,
Yaser Sheikh,
Cen Rao, and
Mubarak Shah |
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Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning
Saad Ali |
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KEYS - Incremental Action Recognition Using Feature-Tree
Kishore Reddy and
Jingen Liu |
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Chaotic Invariants for Human Action Recognition
Saad Ali,
Arslan Basharat |
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Action Recognition Using Bag of Video-Words
Jingen Liu |
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Action Recognition Using Multiple Features
Jingen Liu |
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Learning Semantic Visual Vocabularies Using Diffusion Distance
Jingen Liu,
Yang Yang |
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Recognizing Realistic Actions from Videos "in the Wild"
Jingen Liu,
Jiebo Luo |
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Learning 4D Action Feature Models for Arbitrary View Action Recognition
Pingkun Yan,
Saad M. Khan |
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Activity Recognition in Groups of People
Saad M. Khan |
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View-Invariant Representations for Human Activity Recognition
Cen Rao |
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Monitoring Human Behavior in an Office Environment
Douglas Ayers |
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Detection of Armed Robbery
Jaime Dever |
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Person-on-Person Violence Detection in Video Data
Ankur Datta |
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Monitoring Head/Eye Motion for Driver Alertness with One Camera
Raymond Paul Smith |
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Monitoring Fast Food Production
Richard Russo |
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CASEE: A Hierarchical Event Representation for the Analysis of Videos
Asaad Hakeem,
Yaser Sheikh |