T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations J Zhang, Y Zhang, X Cun, S Huang, Y Zhang, H Zhao, H Lu, X Shen The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 176* | 2023 |
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients SX Hu, PG Moreno, Y Xiao, X Shen, G Obozinski, ND Lawrence, ... International Conference on Learning Representations (ICLR), 2020 | 166 | 2020 |
Self-supervised transformers for unsupervised object discovery using normalized cut Y Wang, X Shen, SX Hu, Y Yuan, JL Crowley, D Vaufreydaz The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 149 | 2022 |
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation W Zhang, X Cun, X Wang, Y Zhang, X Shen, Y Guo, Y Shan, F Wang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 137 | 2022 |
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning X Shen, AA Efros, M Aubry The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 105 | 2019 |
Marginalized Average Attentional Network for Weakly-Supervised Learning Y Yuan, Y Lyu, X Shen, IW Tsang, DY Yeung International Conference on Learning Representations (ICLR), 2019 | 101 | 2019 |
RANSAC-Flow: generic two-stage image alignment X Shen, F Darmon, AA Efros, M Aubry European Conference on Computer Vision (ECCV), 2020 | 95 | 2020 |
Back to mlp: A simple baseline for human motion prediction W Guo, Y Du, X Shen, V Lepetit, X Alameda-Pineda, F Moreno-Noguer Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 91 | 2023 |
Explicit Visual Prompting for Low-Level Structure Segmentations W Liu, X Shen, CM Pun, X Cun The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 69 | 2023 |
Boosting co-teaching with compression regularization for label noise Y Chen, X Shen, SX Hu, JAK Suykens The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021 | 55 | 2021 |
Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut Y Wang, X Shen, Y Yuan, Y Du, M Li, SX Hu, JL Crowley, D Vaufreydaz Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 | 53 | 2023 |
Re-ranking for image retrieval and transductive few-shot classification X Shen, Y Xiao, SX Hu, O Sbai, M Aubry NeurIPS, 2021 | 36 | 2021 |
A method of synthesizing handwritten chinese images for data augmentation X Shen, R Messina 2016 15th International conference on frontiers in handwriting recognition …, 2016 | 19 | 2016 |
Jigsaw-vit: Learning jigsaw puzzles in vision transformer Y Chen, X Shen, Y Liu, Q Tao, JAK Suykens Pattern Recognition Letters 166, 53-60, 2023 | 17 | 2023 |
Compressing features for learning with noisy labels Y Chen, SX Hu, X Shen, C Ai, JAK Suykens IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2124-2138, 2022 | 16 | 2022 |
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation Y Zhi, X Cun, X Chen, X Shen, W Guo, S Huang, S Gao International Conference on Computer Vision (ICCV), 2023 | 15 | 2023 |
Learning co-segmentation by segment swapping for retrieval and discovery X Shen, AA Efros, A Joulin, M Aubry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
Large-scale historical watermark recognition: dataset and a new consistency-based approach X Shen, I Pastrolin, O Bounou, S Gidaris, M Smith, O Poncet, M Aubry 2020 25th International Conference on Pattern Recognition (ICPR), 6810-6817, 2021 | 13 | 2021 |
Explicit visual prompting for universal foreground segmentations W Liu, X Shen, CM Pun, X Cun arXiv preprint arXiv:2305.18476, 2023 | 8 | 2023 |
Spatially-consistent feature matching and learning for heritage image analysis X Shen, R Champenois, S Ginosar, I Pastrolin, M Rousselot, O Bounou, ... International Journal of Computer Vision 130 (5), 1325-1339, 2022 | 7 | 2022 |