付彦伟
( 教授 )
- 教师拼音名称：Fu Yanwei
- 所在单位：大数据学院
- 学历：研究生毕业
- 学位：博士学位
- 在职信息：在职
- 毕业院校：英国伦敦玛丽女王大学
- Dong, Qiaole；Cao, Chenjie；Fu, Yanwei,Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding.-Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition-2022-01-01-2022-June
- Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images.-arXiv-2022-01-01
- Yu, Hang；Cheang, Chilam；Fu, Yanwei；Xue, Xiangyang,HandO: a hybrid 3D hand-object reconstruction model for unknown objects.-MULTIMEDIA SYSTEMS-2022-01-01-28
- 朱方瑞；张力；付彦伟；谢伟迪,基于自监督学习方法的半监督视频目标分割研究.-复旦学报(自然科学版)-2022-01-01-61
- Wang, Jianan；Lu, Guansong；Xu, Hang；Li, Zhenguo；Xu, Chunjing；Fu, Yanwei,ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.-Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition-2022-01-01-2022-June
- Yan, Fan；Nie, Ming；Cai, Xinyue；Han, Jianhua；Xu, Hang；Yang, Zhen；Ye, Chaoqiang；Fu, Yanwei；Mi, Michael Bi；Zhang, Li,ONCE-3DLanes: Building Monocular 3D Lane Detection.-Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition-2022-01-01-2022-June
- Tsutsui, Satoshi；Fu, Yanwei；Crandall, David,Reinforcing Generated Images via Meta-Learning for One-Shot Fine-Grained Visual Recognition.-IEEE Transactions on Pattern Analysis and Machine Intelligence-2024-01-01-46
- Wang, Chengrong；Cao, Chenjie；Fu, Yanwei；Xue, Xiangyang,HIGH-FIDELITY PORTRAIT EDITING VIA EXPLORING DIFFERENTIABLE GUIDED SKETCHES FROM THE LATENT SPACE.-Icassp, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-2022-01-01-2022-May
- Jiang, Boyan；Zhang, Yinda；Wei, Xingkui；Xue, Xiangyang；Fu, Yanwei,H4D: Human 4D Modeling by Learning Neural Compositional Representation.-Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition-2022-01-01-2022-June
- Li, Pan；Fu, Yanwei；Gong, Shaogang,A Framework of Meta Functional Learning for Regularising Knowledge Transfer.-arXiv-2022-01-01
