Attention-driven salient edge (s) and region (s) extraction with application to CBIR S Feng, D Xu, X Yang signal processing 90 (1), 1-15, 2010 | 125 | 2010 |
Partial multi-label learning by low-rank and sparse decomposition L Sun, S Feng, T Wang, C Lang, Y Jin Proceedings of the AAAI conference on artificial intelligence 33 (01), 5016-5023, 2019 | 98 | 2019 |
Recurrent convolutional network for video-based smoke detection M Yin, C Lang, Z Li, S Feng, T Wang Multimedia Tools and Applications 78, 237-256, 2019 | 72 | 2019 |
Robust object tracking based on temporal and spatial deep networks Z Teng, J Xing, Q Wang, C Lang, S Feng, Y Jin Proceedings of the IEEE International Conference on Computer Vision, 1144-1153, 2017 | 69 | 2017 |
GM-PLL: Graph matching based partial label learning G Lyu, S Feng, T Wang, C Lang, Y Li IEEE Transactions on Knowledge and Data Engineering 33 (2), 521-535, 2019 | 65 | 2019 |
Transductive multi-instance multi-label learning algorithm with application to automatic image annotation S Feng, D Xu Expert Systems with Applications 37 (1), 661-670, 2010 | 64 | 2010 |
Fine-grained facial expression recognition in the wild L Liang, C Lang, Y Li, S Feng, J Zhao IEEE Transactions on Information Forensics and Security 16, 482-494, 2020 | 60 | 2020 |
Cross-modality transformer for visible-infrared person re-identification K Jiang, T Zhang, X Liu, B Qian, Y Zhang, F Wu European Conference on Computer Vision, 480-496, 2022 | 54 | 2022 |
Graph matching with adaptive and branching path following T Wang, H Ling, C Lang, S Feng IEEE transactions on pattern analysis and machine intelligence 40 (12), 2853 …, 2017 | 54 | 2017 |
Image tag completion by noisy matrix recovery Z Feng, S Feng, R Jin, AK Jain Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 52 | 2014 |
Human facial age estimation by cost-sensitive label ranking and trace norm regularization S Feng, C Lang, J Feng, T Wang, J Luo IEEE Transactions on Multimedia 19 (1), 136-148, 2016 | 47 | 2016 |
A self-paced regularization framework for partial-label learning G Lyu, S Feng, T Wang, C Lang IEEE Transactions on Cybernetics 52 (2), 899-911, 2020 | 43 | 2020 |
Partial multi-label learning via multi-subspace representation Z Li, G Lyu, S Feng Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 40 | 2021 |
Partial multi-label learning via probabilistic graph matching mechanism G Lyu, S Feng, Y Li Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 39 | 2020 |
Scaring or pleasing: exploit emotional impact of an image B Li, S Feng, W Xiong, W Hu Proceedings of the 20th ACM international conference on Multimedia, 1365-1366, 2012 | 39 | 2012 |
Global-local label correlation for partial multi-label learning L Sun, S Feng, J Liu, G Lyu, C Lang IEEE Transactions on Multimedia 24, 581-593, 2021 | 37 | 2021 |
Dense attentive feature enhancement for salient object detection Z Li, C Lang, L Liang, J Zhao, S Feng, Q Hou, J Feng IEEE Transactions on Circuits and Systems for Video Technology 32 (12), 8128 …, 2021 | 35 | 2021 |
Noisy label tolerance: A new perspective of partial multi-label learning G Lyu, S Feng, Y Li Information Sciences 543, 454-466, 2021 | 35 | 2021 |
Beyond tag relevance: integrating visual attention model and multi-instance learning for tag saliency ranking S Feng, C Lang, D Xu Proceedings of the ACM International Conference on Image and Video Retrieval …, 2010 | 26 | 2010 |
HERA: partial label learning by combining heterogeneous loss with sparse and low-rank regularization G Lyu, S Feng, Y Li, Y Jin, G Dai, C Lang ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-19, 2020 | 25 | 2020 |