| OpenTAL: Towards Open Set Temporal Action Localization | 0 | 0.34 | 2022 |
| A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. | 0 | 0.34 | 2022 |
| Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems | 0 | 0.34 | 2022 |
| Learning of Global Objective for Network Flow in Multi-Object Tracking | 0 | 0.34 | 2022 |
| GateHUB: Gated History Unit with Background Suppression for Online Action Detection | 0 | 0.34 | 2022 |
| Coupling Adversarial Graph Embedding for transductive zero-shot action recognition | 0 | 0.34 | 2021 |
| Multiple Instance Relational Learning for Video Anomaly Detection | 0 | 0.34 | 2021 |
| Object-Aware Centroid Voting for Monocular 3D Object Detection | 0 | 0.34 | 2020 |
| Adversarial Action Prediction Networks. | 4 | 0.42 | 2020 |
| Publishing Video Data with Indistinguishable Objects. | 0 | 0.34 | 2020 |
| Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition | 4 | 0.38 | 2020 |
| Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks | 1 | 0.35 | 2020 |
| Privacy Attributes-Aware Message Passing Neural Network For Visual Privacy Attributes Classification | 0 | 0.34 | 2020 |
| Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos | 0 | 0.34 | 2020 |
| Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning | 3 | 0.39 | 2020 |
| Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning | 2 | 0.39 | 2020 |
| Few-shot Human Motion Prediction via Learning Novel Motion Dynamics | 0 | 0.34 | 2020 |
| Deep Geo-constrained Auto-encoder for Non-landmark GPS Estimation | 1 | 0.37 | 2019 |
| Action Prediction From Videos via Memorizing Hard-to-Predict Samples. | 0 | 0.34 | 2018 |
| Residual Dense Network for Image Restoration. | 22 | 0.66 | 2018 |
| Probabilistic Low-Rank Multitask Learning. | 1 | 0.34 | 2018 |
| Hierarchical and Spatio-Temporal Sparse Representation for Human Action Recognition. | 2 | 0.36 | 2018 |
| Human Action Recognition and Prediction: A Survey | 6 | 0.43 | 2018 |
| Deeply Learned View-Invariant Features for Cross-View Action Recognition. | 22 | 0.58 | 2017 |
| Multi-Stream Deep Similarity Learning Networks for Visual Tracking. | 4 | 0.42 | 2017 |
| Deep Active Learning Through Cognitive Information Parcels. | 1 | 0.34 | 2017 |
| Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. | 2 | 0.37 | 2017 |
| Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition. | 7 | 0.40 | 2017 |
| Close Human Interaction Recognition Using Patch-Aware Models | 13 | 0.50 | 2016 |
| Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. | 8 | 0.47 | 2016 |
| Efficient Image Geotagging Using Large Databases. | 0 | 0.34 | 2016 |
| Discriminative Relational Representation Learning for RGB-D Action Recognition. | 5 | 0.41 | 2016 |
| Learning Fast Low-Rank Projection for Image Classification. | 11 | 0.50 | 2016 |
| Learning hierarchical 3D kernel descriptors for RGB-D action recognition. | 5 | 0.39 | 2016 |
| Max-Margin Action Prediction Machine. | 35 | 0.86 | 2016 |
| A Discriminative Model With Multiple Temporal Scales For Action Prediction | 49 | 1.06 | 2014 |
| Recognising human interaction from videos by a discriminative model | 4 | 0.40 | 2014 |
| Modeling Supporting Regions For Close Human Interaction Recognition | 3 | 0.36 | 2014 |
| Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition | 46 | 0.96 | 2014 |
| Latent Tensor Transfer Learning for RGB-D Action Recognition | 19 | 0.56 | 2014 |
| LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations | 0 | 0.34 | 2014 |
| Learning a discriminative mid-level feature for action recognition. | 15 | 0.40 | 2014 |
| Activity recognition by learning structural and pairwise mid-level features using random forest | 3 | 0.38 | 2013 |
| Learning human interaction by interactive phrases | 57 | 1.27 | 2012 |
| Contour-Hog: A Stub Feature Based Level Set Method For Learning Object Contour | 0 | 0.34 | 2012 |
| Decomposed contour prior for shape recognition | 1 | 0.35 | 2012 |
| Action recognition with discriminative mid-level features | 3 | 0.38 | 2012 |
| A Hierarchical Model for Human Interaction Recognition | 5 | 0.42 | 2012 |
| Adaptive learning codebook for action recognition | 9 | 0.58 | 2011 |
| Recognizing Human Interaction By Multiple Features | 7 | 0.47 | 2011 |
