| Dynamic refinement network for oriented and densely packed object detection X Pan, Y Ren, K Sheng, W Dong, H Yuan, X Guo, C Ma, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11207 …, 2020 | 393 | 2020 |
| StyTr2: Image Style Transfer with Transformers Y Deng, F Tang, W Dong, X Pan, C Ma, L Wang, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11326 …, 2022 | 351 | 2022 |
| Inversion-Based Style Transfer with Diffusion Models Y Zhang, N Huang, F Tang, H Huang, C Ma, W Dong, C Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10146 …, 2023 | 278 | 2023 |
| Optimized Image Resizing Using Seam Carving and Scaling W Dong, N Zhou, JC Paul, X Zhang ACM Transactions on Graphics 28 (5), 128:1-128:10, 2009 | 269 | 2009 |
| Segment-Tree based Cost Aggregation for Stereo Matching X Mei, X Sun, W Dong, H Wang, X Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 313-320, 2013 | 256 | 2013 |
| Evo-Vit: Slow-Fast Token Eevolution for Dynamic Vision Transformer Y Xu, Z Zhang, M Zhang, K Sheng, K Li, W Dong, L Zhang, C Xu, X Sun Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2964-2972, 2022 | 204 | 2022 |
| 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 | 187 | 2020 |
| Image Zooming Using Directional Cubic Convolution Interpolation D Zhou, X Shen, W Dong IET Image Processing 6 (6), 627-634, 2012 | 186 | 2012 |
| 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 (SIGGRAPH '22), 12:1-12:8, 2022 | 171 | 2022 |
| Arbitrary Video Style Transfer via Multi-Channel Correlation Y Deng, F Tang, W Dong, H Huang, C Ma, C Xu The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 1210-1217, 2021 | 165 | 2021 |
| LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning H Li, W Dong, X Mei, C Ma, F Huang, BG Hu International Conference on Machine Learning (ICML), 3825-3834, 2019 | 132 | 2019 |
| Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment K Sheng, W Dong, C Ma, X Mei, F Huang, BG Hu Proceedings of the 26th ACM International Conference on Multimedia, 879-886, 2018 | 131 | 2018 |
| 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 | 127 | 2022 |
| Inverse Procedural Modeling of Facade Layouts F Wu, DM Yan, W Dong, X Zhang, P Wonka ACM Transactions on Graphics 33 (4), 121:1--121:10, 2014 | 107 | 2014 |
| 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11642 …, 2021 | 105 | 2021 |
| Content‐Based Colour Transfer F Wu, W Dong, Y Kong, X Mei, JC Paul, X Zhang Computer Graphics Forum 32 (1), 190-203, 2013 | 95 | 2013 |
| 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 | 85 | 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 42 (6), 244:1-244:14, 2023 | 77* | 2023 |
| Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation Y Zhang, W Dong, BG Hu, Q Ji IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2314-2323, 2018 | 62 | 2018 |
| Classifier Learning with Prior Probabilities for Facial Action Unit Recognition Y Zhang, W Dong, BG Hu, Q Ji IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5108-5116, 2018 | 61 | 2018 |
Changsheng XuProfessor, Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的電子郵件地址已通過驗證
