| Sample selection with uncertainty of losses for learning with noisy labels X Xia, T Liu, B Han, M Gong, J Yu, G Niu, M Sugiyama arXiv preprint arXiv:2106.00445, 2021 | 100 | 2021 |
| On the convergence and mode collapse of GAN Z Zhang, M Li, J Yu SIGGRAPH Asia 2018 Technical Briefs, 1-4, 2018 | 58 | 2018 |
| Multimodal inputs driven talking face generation with spatial–temporal dependency L Yu, J Yu, M Li, Q Ling IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 203-216, 2020 | 43 | 2020 |
| A video, text, and speech-driven realistic 3-D virtual head for human–machine interface J Yu, ZF Wang IEEE transactions on cybernetics 45 (5), 991-1002, 2014 | 43 | 2014 |
| Understanding robust overfitting of adversarial training and beyond C Yu, B Han, L Shen, J Yu, C Gong, M Gong, T Liu International Conference on Machine Learning, 25595-25610, 2022 | 42 | 2022 |
| Real-time head pose estimation and face modeling from a depth image C Luo, J Zhang, J Yu, CW Chen, S Wang IEEE Transactions on Multimedia 21 (10), 2473-2481, 2019 | 39 | 2019 |
| Identity–expression dual branch network for facial expression recognition H Zhang, W Su, J Yu, Z Wang IEEE transactions on cognitive and developmental systems 13 (4), 898-911, 2020 | 34 | 2020 |
| Learning face image super-resolution through facial semantic attribute transformation and self-attentive structure enhancement M Li, Z Zhang, J Yu, CW Chen IEEE Transactions on Multimedia 23, 468-483, 2020 | 31 | 2020 |
| Deep fusion siamese network for automatic kinship verification J Yu, M Li, X Hao, G Xie 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 30 | 2020 |
| Image classification based on convolutional neural networks with cross-level strategy Y Liu, B Yin, J Yu, Z Wang Multimedia Tools and Applications 76, 11065-11079, 2017 | 29 | 2017 |
| Facial expression recognition by fusing Gabor and local binary pattern features Y Sun, J Yu MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017 | 29 | 2017 |
| Probability contour guided depth map inpainting and superresolution using non-local total generalized variation HT Zhang, J Yu, ZF Wang Multimedia Tools and Applications 77, 9003-9020, 2018 | 26 | 2018 |
| Weakly supervised local-global relation network for facial expression recognition H Zhang, W Su, J Yu, Z Wang Proceedings of the twenty-ninth international conference on international …, 2021 | 24 | 2021 |
| Grand challenge of 106-point facial landmark localization Y Liu, H Shen, Y Si, X Wang, X Zhu, H Shi, Z Hong, H Guo, Z Guo, Y Chen, ... 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 24 | 2019 |
| Mining audio, text and visual information for talking face generation L Yu, J Yu, Q Ling 2019 IEEE International Conference on Data Mining (ICDM), 787-795, 2019 | 22 | 2019 |
| Locating facial landmarks using probabilistic random forest C Luo, Z Wang, S Wang, J Zhang, J Yu IEEE Signal Processing Letters 22 (12), 2324-2328, 2015 | 21 | 2015 |
| BLTRCNN-based 3-D articulatory movement prediction: Learning articulatory synchronicity from both text and audio inputs L Yu, J Yu, Q Ling IEEE Transactions on Multimedia 21 (7), 1621-1632, 2018 | 20 | 2018 |
| A video-based facial motion tracking and expression recognition system J Yu, Z Wang Multimedia Tools and Applications 76, 14653-14672, 2017 | 19 | 2017 |
| 3D facial motion tracking by combining online appearance model and cylinder head model in particle filtering J Yu, ZF Wang Science China Information Sciences 57 (2), 1-7, 2014 | 19 | 2014 |
| Data-driven 3D visual pronunciation of Chinese IPA for language learning J Yu, A Li, F Hu, Q Fang, C Jiang, X Li, J Yang, Z Wang 2013 International Conference Oriental COCOSDA held jointly with 2013 …, 2013 | 19 | 2013 |
