| Sample-centric feature generation for semi-supervised few-shot learning B Zhang, H Ye, G Yu, B Wang, Y Wu, J Fan, T Chen IEEE Transactions on Image Processing 31, 2309-2320, 2022 | 23 | 2022 |
| Performance-aware Approximation of Global Channel Pruning for Multitask CNNs H Ye, B Zhang, T Chen, J Fan, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10267 …, 2023 | 20 | 2023 |
| Automatic loss function search for adversarial unsupervised domain adaptation Z Mei, P Ye, H Ye, B Li, J Guo, T Chen, W Ouyang IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 5868 …, 2023 | 18 | 2023 |
| Structchart: Perception, structuring, reasoning for visual chart understanding R Xia, B Zhang, H Peng, H Ye, X Yan, P Ye, B Shi, Y Qiao, J Yan arXiv preprint arXiv:2309.11268, 2023 | 13 | 2023 |
| ChartX & ChartVLM: A versatile benchmark and foundation model for complicated chart reasoning R Xia, B Zhang, H Ye, X Yan, Q Liu, H Zhou, Z Chen, M Dou, B Shi, J Yan, ... arXiv preprint arXiv:2402.12185, 2024 | 12 | 2024 |
| SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations X Yan, R Chen, B Zhang, H Ye, R Xia, J Yuan, H Zhou, X Cai, B Shi, ... arXiv preprint arXiv:2309.10527, 2024 | 5* | 2024 |
| Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation W Wu, J Fan, T Chen, H Ye, B Zhang, B Li arXiv preprint arXiv:2211.08106, 2022 | 2 | 2022 |
| DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models R Xia, S Mao, X Yan, H Zhou, B Zhang, H Peng, J Pi, D Fu, W Wu, H Ye, ... arXiv preprint arXiv:2406.11633, 2024 | 1 | 2024 |
| Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression H Ye, C Yu, P Ye, R Xia, Y Tang, J Lu, T Chen, B Zhang IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
| Enhanced sparsification via stimulative training S Tang, W Lin, H Ye, P Ye, C Yu, B Li, T Chen The 18th European Conference on Computer Vision ECCV 2024, 2024 | 1 | 2024 |
| Efficient architecture search via bi-level data pruning C Tu, P Ye, W Lin, H Ye, C Yu, T Chen, B Li, W Ouyang arXiv preprint arXiv:2312.14200, 2023 | 1 | 2023 |
| Revisiting 3D visual grounding with Context-aware Feature Aggregation P Guo, H Zhu, H Ye, T Li, T Chen Neurocomputing 601, 128195, 2024 | | 2024 |
| CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection S Wu, F Yin, H Ye, T Chen 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction J Zhang, J Fan, P Ye, B Zhang, H Ye, B Li, Y Cai, T Chen arXiv preprint arXiv:2312.13514, 2023 | | 2023 |
| Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation J Chen, J Fan, H Ye, J Li, Y Liao, T Chen IEEE Transactions on Multimedia 25, 7337-7349, 2022 | | 2022 |
| SDGDet: Semi-supervised Domain Generalization Learning for Road-side Corner Case 2D Detection J Xu, H Ye, B Zhang, T Chen, J Fan The 3rd place in the SSLAD2022 Challenge at ECCV 2022, 0 | | |
Chen Tao (陈涛)Fudan University在 fudan.edu.cn 的电子邮件经过验证
