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Jiahao Pang
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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
5972017
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
3552017
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
2732017
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
2452018
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
1772019
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
1732018
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
742015
Improved single image dehazing using guided filter
J Pang, OC Au, Z Guo
Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2011
702011
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
682020
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
622018
Survey on deep learning-based point cloud compression
M Quach, J Pang, D Tian, G Valenzise, F Dufaux
Frontiers in Signal Processing 2, 846972, 2022
532022
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
492019
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
492016
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
452021
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
442021
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
352013
GRASP-Net: Geometric residual analysis and synthesis for point cloud compression
J Pang, MA Lodhi, D Tian
Proceedings of the 1st International Workshop on Advances in Point Cloud …, 2022
302022
Image colorization using sparse representation
J Pang, OC Au, K Tang, Y Guo
2013 IEEE International Conference On Acoustics, Speech And Signal …, 2013
302013
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
282014
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
242019
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