| Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification D Chen, X Cao, F Wen, J Sun Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 835 | 2013 |
| Bayesian face revisited: A joint formulation D Chen, X Cao, L Wang, F Wen, J Sun Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 561 | 2012 |
| CVAE-GAN: fine-grained image generation through asymmetric training J Bao, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE international conference on computer vision, 2745-2754, 2017 | 513 | 2017 |
| Joint cascade face detection and alignment D Chen, S Ren, Y Wei, X Cao, J Sun Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 499 | 2014 |
| Face x-ray for more general face forgery detection L Li, J Bao, T Zhang, H Yang, D Chen, F Wen, B Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 481 | 2020 |
| Neural aggregation network for video face recognition J Yang, P Ren, D Zhang, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 420 | 2017 |
| Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set Y Deng, J Yang, S Xu, D Chen, Y Jia, X Tong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 402 | 2019 |
| Cswin transformer: A general vision transformer backbone with cross-shaped windows X Dong, J Bao, D Chen, W Zhang, N Yu, L Yuan, D Chen, B Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 370 | 2022 |
| Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation P Zhang, B Zhang, T Zhang, D Chen, Y Wang, F Wen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 255 | 2021 |
| Cross-domain correspondence learning for exemplar-based image translation P Zhang, B Zhang, D Chen, L Yuan, F Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 250 | 2020 |
| Towards open-set identity preserving face synthesis J Bao, D Chen, F Wen, H Li, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 241 | 2018 |
| Faceshifter: Towards high fidelity and occlusion aware face swapping L Li, J Bao, H Yang, D Chen, F Wen arXiv preprint arXiv:1912.13457, 2019 | 211 | 2019 |
| Supervised transformer network for efficient face detection D Chen, G Hua, F Wen, J Sun Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 192 | 2016 |
| Disentangled and controllable face image generation via 3d imitative-contrastive learning Y Deng, J Yang, D Chen, F Wen, X Tong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 189 | 2020 |
| Vector quantized diffusion model for text-to-image synthesis S Gu, D Chen, J Bao, F Wen, B Zhang, D Chen, L Yuan, B Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 180 | 2022 |
| Deep exemplar-based video colorization B Zhang, M He, J Liao, PV Sander, L Yuan, A Bermak, D Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 172 | 2019 |
| Cocosnet v2: Full-resolution correspondence learning for image translation X Zhou, B Zhang, T Zhang, P Zhang, J Bao, D Chen, Z Zhang, F Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 141 | 2021 |
| Bringing old photos back to life Z Wan, B Zhang, D Chen, P Zhang, D Chen, J Liao, F Wen proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 132 | 2020 |
| Advancing high fidelity identity swapping for forgery detection L Li, J Bao, H Yang, D Chen, F Wen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 117 | 2020 |
| Mask-guided portrait editing with conditional gans S Gu, J Bao, H Yang, D Chen, F Wen, L Yuan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 105 | 2019 |
Jianmin BaoMicrosoft ResearchVerified email at microsoft.com
