| Facial Expression Recognition via a Boosted Deep Belief Network P Liu*, S Han*, Z Meng, Y Tong CVPR, 1805-1812, 2014 | 808 | 2014 |
| Identity-Aware Convolutional Neural Network for Facial Expression Recognition Z Meng, P Liu, J Cai, S Han, Y Tong 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 356 | 2017 |
| Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition S Han, Z Meng, S Khan, Y Tong Neural Information Processing Systems (NIPS), 2016 | 130 | 2016 |
| SVM based Forest Fire Detection using Static and Dynamic Features. J Zhao, Z Zhang, S Han, C Qu, ZY Yuan, D Zhang Comput. Sci. Inf. Syst. 8 (3), 821-841, 2011 | 107 | 2011 |
| Identity-free facial expression recognition using conditional generative adversarial network J Cai, Z Meng, AS Khan, J O’Reilly, Z Li, S Han, Y Tong 2021 IEEE International Conference on Image Processing (ICIP), 1344-1348, 2021 | 94 | 2021 |
| Volumetric attention for 3D medical image segmentation and detection X Wang, S Han, Y Chen, D Gao, N Vasconcelos Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 88 | 2019 |
| Image based Forest Fire Detection using Dynamic Characteristics with Artificial Neural Networks D Zhang, S Han, J Zhao, Z Zhang, C Qu, Y Ke, X Chen Artificial Intelligence, 2009. IJCAI'09. International Joint Conference on …, 2009 | 77 | 2009 |
| Feature Disentangling Machine - a Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis P Liu, JT Zhou, IWH Tsang, Z Meng, S Han, Y Tong European Conference on Computer Vision, 151-166, 2014 | 75 | 2014 |
| Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition S Han, Z Meng, Z Li, J O'Reilly, J Cai, X Wang, Y Tong CVPR, 2018 | 74 | 2018 |
| High-resolution 3D abdominal segmentation with random patch network fusion Y Tang, R Gao, HH Lee, S Han, Y Chen, D Gao, V Nath, C Bermudez, ... Medical image analysis 69, 101894, 2021 | 52 | 2021 |
| Generalized Machine Learning Technique for Automatic Phase Attribution in Time Variant High-Throughput Experimental Studies JK Bunn, S Han, Y Zhang, Y Tong, J Hu, JR Hattrick-Simpers Journal of Materials Research 30 (7), 879-889, 2015 | 44 | 2015 |
| Transmission - A new Feature for Computer Vision based Smoke Detection C Long, J Zhao, S Han, L Xiong, Z Yuan, J Huang, W Gao International Conference on Artificial Intelligence and Computational …, 2010 | 39 | 2010 |
| Openshape: Scaling up 3d shape representation towards open-world understanding M Liu, R Shi, K Kuang, Y Zhu, X Li, S Han, H Cai, F Porikli, H Su Advances in Neural Information Processing Systems 36, 2024 | 38 | 2024 |
| Feature-level and model-level audiovisual fusion for emotion recognition in the wild J Cai, Z Meng, AS Khan, Z Li, J O’Reilly, S Han, P Liu, M Chen, Y Tong 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 36 | 2019 |
| Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models M Liu, Y Zhu, H Cai, S Han, Z Ling, F Porikli, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| Pooling map adaptation in convolutional neural network for facial expression recognition Z Li, S Han, AS Khan, J Cai, Z Meng, J O'Reilly, Y Tong 2019 IEEE international conference on multimedia and expo (ICME), 1108-1113, 2019 | 26 | 2019 |
| Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion Z Meng, S Han, P Liu, Y Tong IEEE transactions on cybernetics 49 (9), 3293-3306, 2018 | 22 | 2018 |
| Local Binary Pattern based Texture Analysis for Visual Fire Recognition J Huang, J Zhao, W Gao, C Long, L Xiong, Z Yuan, S Han 2010 3rd International Congress on Image and Signal Processing 4, 1887-1891, 2010 | 21 | 2010 |
| Validating uncertainty in medical image translation JC Reinhold, Y He, S Han, Y Chen, D Gao, J Lee, JL Prince, A Carass 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 95-98, 2020 | 20 | 2020 |
| Stochastic Tissue Window Normalization of Deep Learning on Computed Tomography Y Huo, Y Tang, Y Chen, D Gao, S Han, S Bao, S De, JG Terry, JJ Carr, ... Journal of Medical Imaging 6 (4), 044005, 2019 | 20 | 2019 |
Yan TongProfessor of Computer Science and Engineering, University of South CarolinaVerified email at mailbox.sc.edu
