| A natural visible and infrared facial expression database for expression recognition and emotion inference S Wang, Z Liu, S Lv, Y Lv, G Wu, P Peng, F Chen, X Wang IEEE Transactions on Multimedia 12 (7), 682-691, 2010 | 470 | 2010 |
| Simultaneous Facial Feature Tracking and Facial Expression Recognition Y Li, S Wang, Y Zhao, Q Ji IEEE TRANS. ON IMAGE PROCESSING, 1-1, 2013 | 262 | 2013 |
| Video affective content analysis: A survey of state-of-the-art methods S Wang, Q Ji IEEE Transactions on Affective Computing 6 (4), 410-430, 2015 | 208 | 2015 |
| Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression Recognition Z Wang, S Wang, Q Ji CVPR2013, 2013 | 202 | 2013 |
| Capturing Global Semantic Relationships for Facial Action Unit Recognition Z Wang, Y Li, S Wang, Q Ji ICCV2013, 2013 | 156 | 2013 |
| Facial expression intensity estimation using ordinal information R Zhao, Q Gan, S Wang, Q Ji Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 129 | 2016 |
| Multi-label learning with missing labels B Wu, Z Liu, S Wang, BG Hu, Q Ji 2014 22nd International conference on pattern recognition, 1964-1968, 2014 | 117 | 2014 |
| Affective computing for large-scale heterogeneous multimedia data: A survey S Zhao, S Wang, M Soleymani, D Joshi, Q Ji ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 88 | 2019 |
| Identity-and pose-robust facial expression recognition through adversarial feature learning C Wang, S Wang, G Liang Proceedings of the 27th ACM international conference on multimedia, 238-246, 2019 | 83 | 2019 |
| Analyses of a multimodal spontaneous facial expression database S Wang, Z Liu, Z Wang, G Wu, P Shen, S He, X Wang IEEE Transactions on Affective Computing 4 (1), 34-46, 2012 | 78 | 2012 |
| Hybrid video emotional tagging using users’ EEG and video content S Wang, Y Zhu, G Wu, Q Ji Multimedia tools and applications 72, 1257-1283, 2014 | 77 | 2014 |
| A multi-modal hierarchical recurrent neural network for depression detection S Yin, C Liang, H Ding, S Wang Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 72 | 2019 |
| Learning from macro-expression: A micro-expression recognition framework B Xia, W Wang, S Wang, E Chen Proceedings of the 28th ACM International Conference on Multimedia, 2936-2944, 2020 | 71 | 2020 |
| Occluded facial expression recognition enhanced through privileged information B Pan, S Wang, B Xia Proceedings of the 27th ACM international conference on multimedia, 566-573, 2019 | 71 | 2019 |
| Enhancing multi-label classification by modeling dependencies among labels S Wang, J Wang, Z Wang, Q Ji Pattern Recognition 47 (10), 3405-3413, 2014 | 71 | 2014 |
| Facial expression recognition using deep Boltzmann machine from thermal infrared images S He, S Wang, W Lan, H Fu, Q Ji 2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013 | 66 | 2013 |
| Weakly supervised facial action unit recognition through adversarial training G Peng, S Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 62 | 2018 |
| Emotion recognition using hidden Markov models from facial temperature sequence Z Liu, S Wang International Conference on Affective Computing and Intelligent Interaction …, 2011 | 58 | 2011 |
| Pose-Invariant Facial Expression Recognition G Liang, S Wang, C Wang FG 2021, 1-8, 2021 | 54 | 2021 |
| Emotion recognition from thermal infrared images using deep Boltzmann machine S Wang, M He, Z Gao, S He, Q Ji Frontiers of Computer Science 8, 609-618, 2014 | 53 | 2014 |
Qiang JiProfessor of Electrical Eng., RPIVerified email at ecse.rpi.edu
