| F³Net: fusion, feedback and focus for salient object detection J Wei, S Wang, Q Huang Proceedings of the AAAI conference on artificial intelligence 34 (07), 12321 …, 2020 | 587 | 2020 |
| Hydra: Large-scale social identity linkage via heterogeneous behavior modeling S Liu, S Wang, F Zhu, J Zhang, R Krishnan Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 306 | 2014 |
| Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations S Cui, S Wang, J Zhuo, L Li, Q Huang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 263 | 2020 |
| Gradually vanishing bridge for adversarial domain adaptation S Cui, S Wang, J Zhuo, C Su, Q Huang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 240 | 2020 |
| Label decoupling framework for salient object detection J Wei, S Wang, Z Wu, C Su, Q Huang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 224 | 2020 |
| Less is more: Picking informative frames for video captioning Y Chen, S Wang, W Zhang, Q Huang Proceedings of the European conference on computer vision (ECCV), 358-373, 2018 | 222 | 2018 |
| Parsing-based view-aware embedding network for vehicle re-identification D Meng, L Li, X Liu, Y Li, S Yang, ZJ Zha, X Gao, S Wang, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 171 | 2020 |
| Sharp multiple instance learning for deepfake video detection X Li, Y Lang, Y Chen, X Mao, Y He, S Wang, H Xue, Q Lu Proceedings of the 28th ACM international conference on multimedia, 1864-1872, 2020 | 125 | 2020 |
| Learning fragment self-attention embeddings for image-text matching Y Wu, S Wang, G Song, Q Huang Proceedings of the 27th ACM international conference on multimedia, 2088-2096, 2019 | 107 | 2019 |
| State-relabeling adversarial active learning B Zhang, L Li, S Yang, S Wang, ZJ Zha, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 106 | 2020 |
| Deep unsupervised convolutional domain adaptation J Zhuo, S Wang, W Zhang, Q Huang Proceedings of the 25th ACM international conference on Multimedia, 261-269, 2017 | 106 | 2017 |
| Multi-label classification by exploiting local positive and negative pairwise label correlation J Huang, G Li, S Wang, Z Xue, Q Huang Neurocomputing 257, 164-174, 2017 | 82 | 2017 |
| Adaptive reconstruction network for weakly supervised referring expression grounding X Liu, L Li, S Wang, ZJ Zha, D Meng, Q Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 69 | 2019 |
| Multi-level discriminative dictionary learning with application to large scale image classification L Shen, G Sun, Q Huang, S Wang, Z Lin, E Wu IEEE Transactions on Image Processing 24 (10), 3109-3123, 2015 | 67 | 2015 |
| Joint global and co-attentive representation learning for image-sentence retrieval S Wang, Y Chen, J Zhuo, Q Huang, Q Tian Proceedings of the 26th ACM international conference on Multimedia, 1398-1406, 2018 | 66 | 2018 |
| TODMIS: Mining communities from trajectories S Liu, S Wang, K Jayarajah, A Misra, R Krishnan Proceedings of the 22nd ACM international conference on Information …, 2013 | 61 | 2013 |
| Shared structure learning for multiple tasks with multiple views X Jin, F Zhuang, S Wang, Q He, Z Shi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 58 | 2013 |
| Structured learning from heterogeneous behavior for social identity linkage S Liu, S Wang, F Zhu IEEE Transactions on Knowledge and Data Engineering 27 (7), 2005-2019, 2015 | 57 | 2015 |
| Robust spatial consistency graph model for partial duplicate image retrieval L Chu, S Jiang, S Wang, Y Zhang, Q Huang IEEE Transactions on Multimedia 15 (8), 1982-1996, 2013 | 57 | 2013 |
| Image classification using spatial pyramid robust sparse coding C Zhang, S Wang, Q Huang, J Liu, C Liang, Q Tian Pattern Recognition Letters 34 (9), 1046-1052, 2013 | 56 | 2013 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
