| Sequential Gesture Learning for Continuous Labanotation Generation Based on the Fusion of Graph Neural Networks | 0 | 0.34 | 2022 |
| Rhythm-Aware Sequence-to-Sequence Learning for Labanotation Generation With Gesture-Sensitive Graph Convolutional Encoding | 0 | 0.34 | 2022 |
| Bridging Video and Text: A Two-Step Polishing Transformer for Video Captioning | 0 | 0.34 | 2022 |
| Optimal Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs | 0 | 0.34 | 2022 |
| Interest Users Cumulatively in Your Ads: A Near Optimal Study for Wi-Fi Advertisement Scheduling | 0 | 0.34 | 2021 |
| Coupling Adversarial Graph Embedding for transductive zero-shot action recognition | 0 | 0.34 | 2021 |
| Interactive Deformation-Driven Person Silhouette Image Synthesis | 0 | 0.34 | 2021 |
| AN ATTENTION-SEQ2SEQ MODEL BASED ON CRNN ENCODING FOR AUTOMATIC LABANOTATION GENERATION FROM MOTION CAPTURE DATA | 0 | 0.34 | 2021 |
| Deep Reinforcement Polishing Network For Video Captioning | 2 | 0.37 | 2021 |
| A CRNN-based attention-seq2seq model with fusion feature for automatic Labanotation generation | 0 | 0.34 | 2021 |
| Aspp-Df-Pvnet: Atrous Spatial Pyramid Pooling And Distance-Filtered Pvnet For Occlusion Resistant 6d Estimation | 0 | 0.34 | 2021 |
| Deep Reinforcement Learning For Weak Human Activity Localization | 1 | 0.35 | 2020 |
| Spatio-Temporal Deep Q-Networks for Human Activity Localization | 0 | 0.34 | 2020 |
| Bayesian Hierarchical Dynamic Model For Human Action Recognition | 2 | 0.36 | 2019 |
| Action recognition and localization with spatial and temporal contexts. | 0 | 0.34 | 2019 |
| 3D human pose estimation from a single image via exemplar augmentation | 0 | 0.34 | 2019 |
| Prediction-CGAN: Human Action Prediction with Conditional Generative Adversarial Networks | 1 | 0.34 | 2019 |
| Near Optimal Dynamic Mobile Advertisement Offloading With Time Constraints | 0 | 0.34 | 2019 |
| Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSN | 5 | 0.39 | 2019 |
| Collaborated Tasks-driven Mobile Charging and Scheduling: A Near Optimal Result | 2 | 0.37 | 2019 |
| Spatiotemporal visual-semantic embedding network for zero-shot action recognition | 1 | 0.35 | 2019 |
| You Can Recharge With Detouring: Optimizing Placement for Roadside Wireless Charger. | 2 | 0.37 | 2018 |
| TIMAO: Time-Sensitive Mobile Advertisement Offloading with Performance Guarantee | 0 | 0.34 | 2018 |
| Connection is power: Near optimal advertisement infrastructure placement for vehicular fogs. | 0 | 0.34 | 2018 |
| A Hierarchical Spatio-Temporal Model for Human Activity Recognition. | 8 | 0.46 | 2017 |
| Optimizing the interested area coverage with efficient mobile advertisement user selection. | 2 | 0.47 | 2017 |
| Turning Small To Big: Efficient Mobile Advertisement Propagation With Local Information | 0 | 0.34 | 2017 |
| ORSCA: Optimal Route Selection and Communication Association for Drones in WSNs | 0 | 0.34 | 2017 |
| Optimal deployment for roadside wireless charger with bounded detouring cost | 0 | 0.34 | 2017 |
| PoP: Propagation Optimization with Popularity, Revisiting Interested Area Coverage for Mobile Advertisement | 0 | 0.34 | 2017 |
| Accurate Identification of Low-Level Radiation Sources with Crowd-Sensing Networks. | 0 | 0.34 | 2016 |
| Near Optimal Mobile Advertisement User Selection with Interested Area Coverage | 0 | 0.34 | 2016 |
| A novel mid-level distinctive feature learning for action recognition via diffusion map. | 1 | 0.34 | 2016 |
| Toward 5G: A Novel Sleeping Strategy for Green Distributed Base Stations in Small Cell Networks | 0 | 0.34 | 2016 |
| Projection transform on spatio-temporal context for action recognition | 1 | 0.35 | 2015 |
| Context and locality constrained linear coding for human action recognition | 8 | 0.41 | 2015 |
| Learning Spatio-Temporal Features For Action Recognition With Modified Hidden Conditional Random Field | 2 | 0.35 | 2014 |
| Continuous human action recognition in real time | 9 | 0.50 | 2014 |
| Spatial-Temporal Context for Action Recognition Combined with Confidence and Contribution Weight | 0 | 0.34 | 2013 |
| Event detection - BJTU-SED at Trecvid 2012. | 0 | 0.34 | 2012 |
