| Stytr2: Image style transfer with transformers Y Deng, F Tang, W Dong, C Ma, X Pan, L Wang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 334 | 2022 |
| Inversion-based style transfer with diffusion models Y Zhang, N Huang, F Tang, H Huang, C Ma, W Dong, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 265 | 2023 |
| Arbitrary style transfer via multi-adaptation network Y Deng, F Tang, W Dong, W Sun, F Huang, C Xu Proceedings of the 28th ACM international conference on multimedia, 2719-2727, 2020 | 179 | 2020 |
| Domain enhanced arbitrary image style transfer via contrastive learning Y Zhang, F Tang, W Dong, H Huang, C Ma, TY Lee, C Xu ACM SIGGRAPH 2022 conference proceedings, 1-8, 2022 | 169 | 2022 |
| Arbitrary Video Style Transfer via Multi-Channel Correlation Y Deng, F Tang, W Dong, H Huang, C Ma, C Xu Proceedings of the AAAI Conference on Artifical Intelligence, 1210-1217, 2021 | 159 | 2021 |
| Dae-gan: Dynamic aspect-aware gan for text-to-image synthesis S Ruan, Y Zhang, K Zhang, Y Fan, F Tang, Q Liu, E Chen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 134 | 2021 |
| Transformers in computational visual media: A survey Y Xu, H Wei, M Lin, Y Deng, K Sheng, M Zhang, F Tang, W Dong, ... Computational Visual Media 8, 33-62, 2022 | 125 | 2022 |
| Unveiling the potential of structure preserving for weakly supervised object localization X Pan, Y Gao, Z Lin, F Tang, W Dong, H Yuan, F Huang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 102 | 2021 |
| Flower classification via convolutional neural network Y Liu, F Tang, D Zhou, Y Meng, W Dong 2016 IEEE International Conference on Functional-Structural Plant Growth …, 2016 | 89 | 2016 |
| Prospect: Prompt spectrum for attribute-aware personalization of diffusion models Y Zhang, W Dong, F Tang, N Huang, H Huang, C Ma, TY Lee, O Deussen, ... ACM Transactions on Graphics (TOG) 42 (6), 1-14, 2023 | 68* | 2023 |
| ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations Z Yu, Y Lu, Y Wang, F Tang, KC Wong, X Li Proceedings of the AAAI Conference on Artifical Intelligence, 2022 | 65 | 2022 |
| Diffstyler: Controllable dual diffusion for text-driven image stylization N Huang, Y Zhang, F Tang, C Ma, H Huang, W Dong, C Xu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 44 | 2024 |
| Draw your art dream: Diverse digital art synthesis with multimodal guided diffusion N Huang, F Tang, W Dong, C Xu Proceedings of the 30th ACM International Conference on Multimedia, 1085-1094, 2022 | 42 | 2022 |
| Self-supervised feature augmentation for large image object detection X Pan, F Tang, W Dong, Y Gu, Z Song, Y Meng, P Xu, O Deussen, C Xu IEEE Transactions on Image Processing 29, 6745-6758, 2020 | 39 | 2020 |
| Adaptive assignment for geometry aware local feature matching D Huang, Y Chen, Y Liu, J Liu, S Xu, W Wu, Y Ding, F Tang, C Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Joint face alignment and segmentation via deep multi-task learning Y Zhao, F Tang, W Dong, F Huang, X Zhang Multimedia Tools and Applications 78, 13131-13148, 2019 | 31 | 2019 |
| Siod: Single instance annotated per category per image for object detection H Li, X Pan, K Yan, F Tang, WS Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| A unified arbitrary style transfer framework via adaptive contrastive learning Y Zhang, F Tang, W Dong, H Huang, C Ma, TY Lee, C Xu ACM Transactions on Graphics 42 (5), 1-16, 2023 | 28 | 2023 |
| A comparative study of CNN-and transformer-based visual style transfer HP Wei, YY Deng, F Tang, XJ Pan, WM Dong Journal of Computer Science and Technology 37 (3), 601-614, 2022 | 27 | 2022 |
| Animated construction of Chinese brush paintings F Tang, W Dong, Y Meng, X Mei, F Huang, X Zhang, O Deussen IEEE transactions on visualization and computer graphics 24 (12), 3019-3031, 2017 | 26 | 2017 |
Weiming DONGMAIS, Institute of Automation, Chinese Academy of SciencesEmail verificata su ia.ac.cn