| Cascade residual learning: A two-stage convolutional neural network for stereo matching J Pang, W Sun, JSJ Ren, C Yang, Q Yan Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 479 | 2017 |
| Accurate single stage detector using recurrent rolling convolution J Ren, X Chen, J Liu, W Sun, J Pang, Q Yan, YW Tai, L Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 314 | 2017 |
| NTIRE 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, LV Gool, L Zhang, MH Yang, M Haris, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 292 | 2018 |
| Graph Laplacian regularization for image denoising: Analysis in the continuous domain J Pang, G Cheung IEEE Transactions on Image Processing 26 (4), 1770-1785, 2017 | 222 | 2017 |
| Single view stereo matching Y Luo, J Ren, M Lin, J Pang, W Sun, H Li, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 197 | 2018 |
| 3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model J Zeng, G Cheung, M Ng, J Pang, C Yang IEEE Transactions on Image Processing 29, 3474-3489, 2019 | 127 | 2019 |
| LSTM pose machines Y Luo, J Ren, Z Wang, W Sun, J Pan, J Liu, J Pang, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 127 | 2018 |
| Optimal graph Laplacian regularization for natural image denoising J Pang, G Cheung, A Ortega, OC Au Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 72 | 2015 |
| Improved single image dehazing using guided filter J Pang, OC Au, Z Guo Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2011 | 64 | 2011 |
| Zoom and learn: Generalizing deep stereo matching to novel domains J Pang, W Sun, C Yang, J Ren, R Xiao, J Zeng, L Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 48 | 2018 |
| Adaptive multispectral demosaicking based on frequency-domain analysis of spectral correlation SP Jaiswal, L Fang, V Jakhetiya, J Pang, K Mueller, OC Au IEEE Transactions on Image Processing 26 (2), 953-968, 2016 | 43 | 2016 |
| Graph signal processing for geometric data and beyond: Theory and applications W Hu, J Pang, X Liu, D Tian, CW Lin, A Vetro arXiv preprint arXiv:2008.01918, 2020 | 33 | 2020 |
| Color clustering matting Y Shi, OC Au, J Pang, K Tang, W Sun, H Zhang, W Zhu, L Jia 2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 33 | 2013 |
| Deep graph Laplacian regularization for robust denoising of real images J Zeng, J Pang, W Sun, G Cheung Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Redefining self-similarity in natural images for denoising using graph signal gradient J Pang, G Cheung, W Hu, OC Au Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2014 | 28 | 2014 |
| TearingNet: Point cloud autoencoder to learn topology-friendly representations J Pang, D Li, D Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Image colorization using sparse representation J Pang, OC Au, K Tang, Y Guo 2013 IEEE International Conference On Acoustics, Speech And Signal …, 2013 | 27 | 2013 |
| Deep end-to-end alignment and refinement for time-of-flight RGB-D module D Qiu, J Pang, W Sun, C Yang Proceedings of the IEEE International Conference on Computer Vision, 9994-10003, 2019 | 19 | 2019 |
| Festa: Flow estimation via spatial-temporal attention for scene point clouds H Wang, J Pang, MA Lodhi, Y Tian, D Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18 | 2021 |
| Survey on deep learning-based point cloud compression M Quach, J Pang, D Tian, G Valenzise, F Dufaux Frontiers in Signal Processing, 2022 | 14 | 2022 |
Wenxiu SunThe Hong Kong University of Science and Technology在 connect.ust.hk 的电子邮件经过验证
