| A density-based method for adaptive LDA model selection J Cao, T Xia, J Li, Y Zhang, S Tang Neurocomputing 72 (7-9), 1775-1781, 2009 | 1050 | 2009 |
| Cgnet: A light-weight context guided network for semantic segmentation T Wu, S Tang, R Zhang, J Cao, Y Zhang IEEE Transactions on Image Processing 30, 1169-1179, 2020 | 623 | 2020 |
| Overcoming classifier imbalance for long-tail object detection with balanced group softmax Y Li, T Wang, B Kang, S Tang, C Wang, J Li, J Feng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 335 | 2020 |
| Scale-adaptive convolutions for scene parsing R Zhang, S Tang, Y Zhang, J Li, S Yan Proceedings of the IEEE International Conference on Computer Vision, 2031-2039, 2017 | 214 | 2017 |
| The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng European Conference on Computer Vision, 728-744, 2020 | 213 | 2020 |
| Image caption with global-local attention L Li, S Tang, L Deng, Y Zhang, Q Tian Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 187 | 2017 |
| Auto-balanced filter pruning for efficient convolutional neural networks X Ding, G Ding, J Han, S Tang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 148 | 2018 |
| GLA: Global–local attention for image description L Li, S Tang, Y Zhang, L Deng, Q Tian IEEE Transactions on Multimedia 20 (3), 726-737, 2017 | 128 | 2017 |
| Adaptive weighted imbalance learning with application to abnormal activity recognition X Gao, Z Chen, S Tang, Y Zhang, J Li Neurocomputing 173, 1927-1935, 2016 | 126 | 2016 |
| Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach B Wang, G Qi, S Tang, T Zhang, Y Wei, L Li, Y Zhang | 99 | 2019 |
| Asymmetric GAN for unpaired image-to-image translation Y Li, S Tang, R Zhang, Y Zhang, J Li, S Yan IEEE Transactions on Image Processing 28 (12), 5881-5896, 2019 | 91 | 2019 |
| Sparse ensemble learning for concept detection S Tang, YT Zheng, Y Wang, TS Chua IEEE Transactions on Multimedia 14 (1), 43-54, 2011 | 71 | 2011 |
| Accurate estimation of human body orientation from RGB-D sensors W Liu, Y Zhang, S Tang, J Tang, R Hong, J Li IEEE Transactions on cybernetics 43 (5), 1442-1452, 2013 | 70 | 2013 |
| Efficient feature detection and effective post-verification for large scale near-duplicate image search H Xie, K Gao, Y Zhang, S Tang, J Li, Y Liu IEEE TRANSACTIONS on multimedia 13 (6), 1319-1332, 2011 | 69 | 2011 |
| A novel image text extraction method based on k-means clustering Y Song, A Liu, L Pang, S Lin, Y Zhang, S Tang Seventh IEEE/ACIS International Conference on Computer and Information …, 2008 | 68 | 2008 |
| TRECVID 2008 High-Level Feature Extraction By MCG-ICT-CAS. S Tang, YD Zhang, JT Li, M Li, N Cai, X Zhang, K Tao, L Tan, SX Xu, ... TRECVID, 2008 | 59 | 2008 |
| Automated pulmonary nodule detection: High sensitivity with few candidates B Wang, G Qi, S Tang, L Zhang, L Deng, Y Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 53 | 2018 |
| 一种基于密度的自适应最优LDA模型选择方法 曹娟， 张勇东， 李锦涛， 唐胜 计算机学报 31 (10), 1780-1787, 2008 | 53 | 2008 |
| Visual relation grounding in videos J Xiao, X Shang, X Yang, S Tang, TS Chua Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 2020 |
| Tree-structured kronecker convolutional network for semantic segmentation T Wu, S Tang, R Zhang, J Cao, J Li 2019 IEEE International Conference on Multimedia and Expo (ICME), 940-945, 2019 | 51 | 2019 |
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