| Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration J Yang, H Li, D Campbell, Y Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 | 1023 | 2016 |
| LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks D Zhang, J Yang, D Ye, G Hua European Conference on Computer Vision (ECCV), 2018 | 797 | 2018 |
| 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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 678 | 2019 |
| Go-ICP: Solving 3D Registration Efficiently and Globally Optimally J Yang, H Li, Y Jia IEEE International Conference on Computer Vision (ICCV), 2013 | 543 | 2013 |
| Neural Aggregation Network for Video Face Recognition J Yang, P Ren, D Chen, F Wen, H Li, G Hua IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 468 | 2017 |
| A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing Q Fan, J Yang, G Hua, B Chen, D Wipf IEEE International Conference on Computer Vision (ICCV), 2017 | 338 | 2017 |
| Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning Y Deng, J Yang, D Chen, F Wen, X Tong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 315 | 2020 |
| A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising K Wei, Y Fu, J Yang, H Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 207 | 2020 |
| GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation Y Deng, J Yang, J Xiang, X Tong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 206 | 2022 |
| Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements K Wei, J Yang, Y Fu, D Wipf, H Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 171 | 2019 |
| Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence Y Deng, J Yang, X Tong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 141 | 2021 |
| Dense, Accurate Optical Flow Estimation with Piecewise Parametric Model J Yang, H Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 126 | 2015 |
| Revisiting Deep Intrinsic Image Decompositions Q Fan, J Yang, G Hua, B Chen, D Wipf IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 113 | 2018 |
| Image smoothing via unsupervised learning Q Fan, J Yang, D Wipf, B Chen, X Tong ACM Transactions on Graphics (TOG), 2018 | 88 | 2018 |
| High-Resolution Optical Flow from 1D Attention and Correlation H Xu, J Yang, J Cai, J Zhang, X Tong IEEE International Conference on Computer Vision (ICCV), 2021 | 73 | 2021 |
| Physics-based Noise Modeling for Extreme Low-light Photography K Wei, Y Fu, Y Zheng, J Yang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 66 | 2021 |
| Optimal Essential Matrix Estimation via Inlier-Set Maximization J Yang, H Li, Y Jia European Conference on Computer Vision (ECCV), 2014 | 61 | 2014 |
| GRAM-HD: 3d-consistent image generation at high resolution with generative radiance manifolds J Xiang, J Yang, Y Deng, X Tong IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 56 | 2023 |
| Deep 3D Portrait from a Single Image S Xu, J Yang, D Chen, F Wen, Y Deng, Y Jia, X Tong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 53 | 2020 |
| Robust optical flow estimation of double-layer images under transparency or reflection J Yang, H Li, Y Dai, RT Tan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 53 | 2016 |
Xin TongPartner Researcher Manager, Microsoft Research AsiaVerified email at microsoft.com
