| Active printed materials for complex self-evolving deformations D Raviv, W Zhao, C McKnelly, A Papadopoulou, A Kadambi, B Shi, ... Scientific reports 4 (1), 7422, 2014 | 614 | 2014 |
| Data-free learning of student networks H Chen, Y Wang, C Xu, Z Yang, C Liu, B Shi, C Xu, C Xu, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 422 | 2019 |
| Robust photometric stereo via low-rank matrix completion and recovery L Wu, A Ganesh, B Shi, Y Matsushita, Y Wang, Y Ma Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011 | 396 | 2011 |
| Real-time intermediate flow estimation for video frame interpolation Z Huang, T Zhang, W Heng, B Shi, S Zhou European Conference on Computer Vision, 624-642, 2022 | 371 | 2022 |
| Dist: Rendering deep implicit signed distance function with differentiable sphere tracing S Liu, Y Zhang, S Peng, B Shi, M Pollefeys, Z Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 336 | 2020 |
| A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo B Shi, Z Wu, Z Mo, D Duan, SK Yeung, P Tan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 323 | 2016 |
| Cars: Continuous evolution for efficient neural architecture search Z Yang, Y Wang, X Chen, B Shi, C Xu, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 291 | 2020 |
| Polarized 3d: High-quality depth sensing with polarization cues A Kadambi, V Taamazyan, B Shi, R Raskar Proceedings of the IEEE international conference on computer vision, 3370-3378, 2015 | 289 | 2015 |
| AdderNet: Do we really need multiplications in deep learning? H Chen, Y Wang, C Xu, B Shi, C Xu, Q Tian, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 263 | 2020 |
| Benchmarking single-image reflection removal algorithms R Wan, B Shi, LY Duan, AH Tan, AC Kot Proceedings of the IEEE International Conference on Computer Vision, 3922-3930, 2017 | 192 | 2017 |
| Self-calibrating photometric stereo B Shi, Y Matsushita, Y Wei, C Xu, P Tan 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 166 | 2010 |
| Polarimetric multi-view stereo Z Cui, J Gu, B Shi, P Tan, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 163 | 2017 |
| Self-calibrating deep photometric stereo networks G Chen, K Han, B Shi, Y Matsushita, KYK Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 162 | 2019 |
| Deep photometric stereo network H Santo, M Samejima, Y Sugano, B Shi, Y Matsushita Proceedings of the IEEE international conference on computer vision …, 2017 | 162 | 2017 |
| Occluded imaging with time-of-flight sensors A Kadambi, H Zhao, B Shi, R Raskar ACM Transactions on Graphics (ToG) 35 (2), 1-12, 2016 | 148 | 2016 |
| Deep shape from polarization Y Ba, A Gilbert, F Wang, J Yang, R Chen, Y Wang, L Yan, B Shi, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 135 | 2020 |
| Bi-polynomial modeling of low-frequency reflectances B Shi, P Tan, Y Matsushita, K Ikeuchi IEEE transactions on pattern analysis and machine intelligence 36 (6), 1078-1091, 2013 | 135 | 2013 |
| CRRN: Multi-scale guided concurrent reflection removal network R Wan, B Shi, LY Duan, AH Tan, AC Kot Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 123 | 2018 |
| SSF-CNN: Spatial and spectral fusion with CNN for hyperspectral image super-resolution XH Han, B Shi, Y Zheng 2018 25th IEEE International Conference on Image Processing (ICIP), 2506-2510, 2018 | 105 | 2018 |
| Joint filtering of intensity images and neuromorphic events for high-resolution noise-robust imaging ZW Wang, P Duan, O Cossairt, A Katsaggelos, T Huang, B Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 101 | 2020 |
Chao XuPeking University在 cis.pku.edu.cn 的电子邮件经过验证
