| Ordinal regression with multiple output cnn for age estimation Z Niu, M Zhou, L Wang, X Gao, G Hua IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2016), 4920 …, 2016 | 779 | 2016 |
| SGCN: Sparse Graph Convolution for Pedestrian Trajectory Prediction L Shi, L Wang, C Long, S Zhou, M Zhou, Z Niu, G Hua IEEE/CVF International Conference on Computer Vision and Pattern Recognition …, 2021 | 270* | 2021 |
| Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding Z Niu, M Zhou, L Wang, X Gao, G Hua IEEE International Conference on Computer Vision (ICCV'2017), 1881-1889, 2017 | 190 | 2017 |
| Two-Stream Consensus Networks for Weakly-Supervised Temporal Action Localization Y Zhai, L Wang, W Tang, Q Zhang, J Yuan, G Hua European Conference on Computer Vision (ECCV'2020), 2020 | 166 | 2020 |
| Automatic salient object extraction with contextual cue L Wang, J Xue, N Zheng, G Hua IEEE International Conference on Computer Vision (ICCV'2011), 105-112, 2011 | 156 | 2011 |
| A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation K Liu, R Ding, Z Zou, L Wang, W Tang European Conference on Computer Vision (ECCV'2020), 2020 | 155 | 2020 |
| Enriching Local and Global Contexts for Temporal Action Localization Z Zhu, W Tang, L Wang, N Zheng, G Hua IEEE/CVF International Conference on Computer Vision (ICCV'2021), 2021 | 136 | 2021 |
| Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks Z Liu, L Wang, Q Zhang, W Tang, Z Nanning, G Hua IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 44 …, 2022 | 133 | 2022 |
| Video Object Discovery and Co-Segmentation with Extremely Weak Supervision L Wang, G Hua, R Sukthankar, J Xue, Z Niu, N Zheng IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 39 …, 2017 | 133 | 2017 |
| MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking Z Qin, S Zhou, L Wang, J Duan, G Hua, W Tang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2023), 2023 | 97 | 2023 |
| Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition J Zang, L Wang, Z Liu, Q Zhang, Z Niu, G Hua, N Zheng International Conference on Artificial Intelligence Applications and …, 2018 | 87 | 2018 |
| ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization Z Liu, L Wang, Q Zhang, W Tang, J Yuan, N Zheng, G Hua AAAI Conference on Artificial Intelligence (AAAI'2021), 2021 | 76 | 2021 |
| Memory-Augmented Appearance-Motion Network for Video Anomaly Detection L Wang, J Tian, S Zhou, H Shi, G Hua Pattern Recognition (PR) 138, 109335, 2023 | 58 | 2023 |
| Compressing unknown images with product quantizer for efficient zero-shot classification J Li, X Lan, Y Liu, L Wang, N Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 49 | 2019 |
| Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization K Xia, L Wang, S Zhou, N Zheng, W Tang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2022), 2022 | 48 | 2022 |
| Adversarial Ranking Attack and Defense M Zhou, Z Niu, L Wang, Q Zhang, G Hua European Conference on Computer Vision (ECCV'2020), 2020 | 48 | 2020 |
| Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification H Ji, L Wang, S Zhou, W Tang, N Zheng, G Hua IEEE/CVF International Conference on Computer Vision (ICCV'2021), 2021 | 47 | 2021 |
| High-order Graph Convolutional Networks for 3D Human Pose Estimation Z Zou, K Liu, L Wang, W Tang British Machine Vision Conference (BMVC'2020), 2020 | 44 | 2020 |
| Action Recognition by an Attention-aware Temporal Weighted Convolutional Neural Network L Wang, J Zang, Q Zhang, Z Niu, G Hua, N Zheng Sensors 18 (7), 1979, 2018 | 43 | 2018 |
| Ladder Loss for Coherent Visual-Semantic Embedding M Zhou, Z Niu, L Wang, Z Gao, Q Zhang, G Hua AAAI Conference on Artificial Intelligence (AAAI'2020), 2020 | 41 | 2020 |
Gang HuaVice President, Multimodal Experiences Research Lab, Dolby Laboratories, IEEE & IAPR FellowBestätigte E-Mail-Adresse bei dolby.com
