| Cascaded partial decoder for fast and accurate salient object detection Z Wu, L Su, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1197 | 2019 |
| Stacked cross refinement network for edge-aware salient object detection Z Wu, L Su, Q Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 486 | 2019 |
| Reverse perspective network for perspective-aware object counting Y Yang, G Li, Z Wu, L Su, Q Huang, N Sebe Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 159 | 2020 |
| Weakly-supervised crowd counting learns from sorting rather than locations Y Yang, G Li, Z Wu, L Su, Q Huang, N Sebe Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 102 | 2020 |
| Complexity-constrained H. 264 video encoding L Su, Y Lu, F Wu, S Li, W Gao IEEE Transactions on Circuits and Systems for Video Technology 19 (4), 477-490, 2009 | 86 | 2009 |
| Decomposition and completion network for salient object detection Z Wu, L Su, Q Huang IEEE transactions on image processing 30, 6226-6239, 2021 | 84 | 2021 |
| Rethinking graph neural architecture search from message-passing S Cai, L Li, J Deng, B Zhang, ZJ Zha, L Su, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 66 | 2021 |
| Self-regulated learning for egocentric video activity anticipation Z Qi, S Wang, C Su, L Su, Q Huang, Q Tian IEEE transactions on pattern analysis and machine intelligence 45 (6), 6715-6730, 2021 | 62 | 2021 |
| Knowledge-guided pairwise reconstruction network for weakly supervised referring expression grounding X Liu, L Li, S Wang, ZJ Zha, L Su, Q Huang Proceedings of the 27th ACM International Conference on Multimedia, 539-547, 2019 | 62 | 2019 |
| Learning attribute-specific representations for visual tracking Y Qi, S Zhang, W Zhang, L Su, Q Huang, MH Yang Proceedings of the AAAI conference on artificial intelligence 33 (01), 8835-8842, 2019 | 53 | 2019 |
| Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos H Yu, G Li, L Su, B Zhong, H Yao, Q Huang Pattern Recognition Letters 131, 219-226, 2020 | 31 | 2020 |
| Improved error concealment algorithms based on H. 264/AVC non-normative decoder L Su, Y Zhang, W Gao, Q Huang, Y Lu 2004 IEEE International Conference on Multimedia and Expo (ICME)(IEEE Cat …, 2004 | 31 | 2004 |
| Weakly supervised anomaly detection in videos considering the openness of events C Zhang, G Li, Q Xu, X Zhang, L Su, Q Huang IEEE transactions on intelligent transportation systems 23 (11), 21687-21699, 2022 | 27 | 2022 |
| I2Transformer: Intra- and Inter-Relation Embedding Transformer for TV Show Captioning Y Tu, L Li, L Su, S Gao, C Yan, ZJ Zha, Z Yu, Q Huang IEEE Transactions on Image Processing 31, 3565-3577, 2022 | 25 | 2022 |
| Real-time video coding under power constraint based on H. 264 codec L Su, Y Lu, F Wu, S Li, W Gao Visual Communications and Image Processing 2007 6508, 19-30, 2007 | 25 | 2007 |
| Adaptive representation disentanglement network for change captioning Y Tu, L Li, L Su, J Du, K Lu, Q Huang IEEE Transactions on Image Processing 32, 2620-2635, 2023 | 24 | 2023 |
| COME for no-reference video quality assessment C Wang, L Su, W Zhang 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 24 | 2018 |
| Smart: Syntax-calibrated multi-aspect relation transformer for change captioning Y Tu, L Li, L Su, ZJ Zha, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 23 | 2024 |
| Learning coupled convolutional networks fusion for video saliency prediction Z Wu, L Su, Q Huang IEEE Transactions on Circuits and Systems for Video Technology 29 (10), 2960 …, 2018 | 23 | 2018 |
| Training efficient saliency prediction models with knowledge distillation P Zhang, L Su, L Li, BK Bao, P Cosman, GR Li, Q Huang Proceedings of the 27th ACM international conference on multimedia, 512-520, 2019 | 21 | 2019 |
Qingming HuangUniversity of the Chinese Academy of SciencesE-mail megerősítve itt: ucas.ac.cn
