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2020 – today
- 2024
[c32]Jiahao Pang, Kevin Bui, Dong Tian:
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression. 3DV 2024: 1270-1279- [i19]Jiahao Pang, Kevin Bui, Dong Tian:
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression. CoRR abs/2402.07243 (2024) - 2023
- [c31]Muhammad Asad Lodhi, Jiahao Pang, Dong Tian:
Sparse Convolution Based Octree Feature Propagation for Lidar Point Cloud Compression. ICASSP 2023: 1-5 - [c30]Junghyun Ahn, Jiahao Pang, Muhammad Asad Lodhi, Dong Tian:
DDA-Net: Deep Distribution-Aware Network for Point Cloud Compression. ISCAS 2023: 1-5 - [i18]Eric Lei, Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian:
WrappingNet: Mesh Autoencoder via Deep Sphere Deformation. CoRR abs/2308.15413 (2023) - 2022
- [j7]Xue Zhang
, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan:
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. IEEE Trans. Image Process. 31: 6863-6878 (2022) - [j6]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. IEEE Trans. Multim. 24: 3961-3977 (2022) - [i17]Jiahao Pang, Muhammad Asad Lodhi, Dong Tian:
GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression. CoRR abs/2209.04401 (2022) - 2021
- [c29]Jiahao Pang, Duanshun Li, Dong Tian:
TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations. CVPR 2021: 7453-7462 - [c28]Haiyan Wang, Jiahao Pang, Muhammad Asad Lodhi, Yingli Tian, Dong Tian:
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. CVPR 2021: 14173-14182 - [i16]Haiyan Wang, Jiahao Pang, Muhammad Asad Lodhi, Yingli Tian, Dong Tian:
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. CoRR abs/2104.00798 (2021) - [i15]Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan:
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. CoRR abs/2111.04946 (2021) - 2020
- [j5]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. IEEE Trans. Image Process. 29: 3474-3489 (2020) - [c27]Xue Zhang, Gene Cheung, Jiahao Pang, Dong Tian:
3D Point Cloud Enhancement Using Graph-Modelled Multiview Depth Measurements. ICIP 2020: 3314-3318 - [i14]Xue Zhang, Gene Cheung, Jiahao Pang, Dong Tian:
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements. CoRR abs/2002.04537 (2020) - [i13]Jiahao Pang, Duanshun Li, Dong Tian:
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations. CoRR abs/2006.10187 (2020) - [i12]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. CoRR abs/2008.01918 (2020)
2010 – 2019
- 2019
- [c26]Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung:
Deep Graph Laplacian Regularization for Robust Denoising of Real Images. CVPR Workshops 2019: 1759-1768 - [c25]Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang:
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. ICCV 2019: 9993-10002 - [i11]Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang:
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. CoRR abs/1909.07623 (2019) - 2018
- [c24]Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy S. J. Ren:
DSR: Direct Self-Rectification for Uncalibrated Dual-Lens Cameras. 3DV 2018: 561-569 - [c23]Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin:
Single View Stereo Matching. CVPR 2018: 155-163 - [c22]Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin:
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. CVPR 2018: 2070-2079 - [c21]Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin:
LSTM Pose Machines. CVPR 2018: 5207-5215 - [i10]Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin:
Single View Stereo Matching. CoRR abs/1803.02612 (2018) - [i9]Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin:
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. CoRR abs/1803.06641 (2018) - [i8]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model. CoRR abs/1803.07252 (2018) - [i7]Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung, Ruichao Xiao:
Deep Graph Laplacian Regularization. CoRR abs/1807.11637 (2018) - [i6]Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy S. J. Ren:
DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras. CoRR abs/1809.09763 (2018) - 2017
- [j4]Sunil Prasad Jaiswal, Lu Fang, Vinit Jakhetiya, Jiahao Pang, Klaus Mueller, Oscar C. Au:
Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation. IEEE Trans. Image Process. 26(2): 953-968 (2017) - [j3]Jiahao Pang, Gene Cheung:
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain. IEEE Trans. Image Process. 26(4): 1770-1785 (2017) - [c20]Jimmy S. J. Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu:
Accurate Single Stage Detector Using Recurrent Rolling Convolution. CVPR 2017: 752-760 - [c19]Jiahao Pang, Wenxiu Sun, Jimmy S. J. Ren, Chengxi Yang, Qiong Yan:
Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching. ICCV Workshops 2017: 878-886 - [i5]Jimmy S. J. Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu:
Accurate Single Stage Detector Using Recurrent Rolling Convolution. CoRR abs/1704.05776 (2017) - [i4]Jimmy S. J. Ren, Zhiyang Yu, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan:
Robust Tracking Using Region Proposal Networks. CoRR abs/1705.10447 (2017) - [i3]Jiahao Pang, Wenxiu Sun, Jimmy S. J. Ren, Chengxi Yang, Qiong Yan:
Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching. CoRR abs/1708.09204 (2017) - [i2]Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin:
LSTM Pose Machines. CoRR abs/1712.06316 (2017) - 2016
- [j2]Jiahao Pang, Lu Fang, Jin Zeng, Yuanfang Guo, Ketan Tang:
Subpixel-Based Image Scaling for Grid-like Subpixel Arrangements: A Generalized Continuous-Domain Analysis Model. IEEE Trans. Image Process. 25(3): 1017-1032 (2016) - [j1]Jin Zeng, Lu Fang, Jiahao Pang, Houqiang Li, Feng Wu:
Subpixel Image Quality Assessment Syncretizing Local Subpixel and Global Pixel Features. IEEE Trans. Image Process. 25(12): 5841-5856 (2016) - [i1]Jiahao Pang, Gene Cheung:
Graph Laplacian Regularization for Inverse Imaging: Analysis in the Continuous Domain. CoRR abs/1604.07948 (2016) - 2015
- [c18]Jiahao Pang, Gene Cheung, Antonio Ortega, Oscar C. Au:
Optimal graph laplacian regularization for natural image denoising. ICASSP 2015: 2294-2298 - [c17]Yonggen Ling, Oscar C. Au, Jiahao Pang, Jin Zeng, Yuan Yuan, Amin Zheng:
Image colorization via color propagation and rank minimization. ICIP 2015: 4228-4232 - 2014
- [c16]Jiahao Pang, Gene Cheung, Wei Hu, Oscar C. Au:
Redefining self-similarity in natural images for denoising using graph signal gradient. APSIPA 2014: 1-8 - [c15]Jin Zeng, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Ketan Tang, Yonggen Ling:
Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling. ICASSP 2014: 5834-5838 - [c14]Pengfei Wan, Oscar C. Au, Jiahao Pang, Ketan Tang, Rui Ma:
High bit-precision image acquisition and reconstruction by planned sensor distortion. ICIP 2014: 1773-1777 - [c13]Haiyan Yang, Oscar C. Au, Yuan Yuan, Wenxiu Sun, Yonggen Ling, Jiahao Pang:
Natural image matting via adaptive local and nonlocal sample clustering. ICIP 2014: 3322-3326 - [c12]Amin Zheng, Oscar C. Au, Yuan Yuan, Haitao Yang, Jiahao Pang, Yonggen Ling:
Intra prediction with adaptive CU processing order in HEVC. ICIP 2014: 3724-3728 - [c11]Jiahao Pang, Oscar C. Au, Yukihiko Yamashita, Yonggen Ling, Yuanfang Guo, Jin Zeng:
Self-similarity-based image colorization. ICIP 2014: 4687-4691 - [c10]Ketan Tang, Oscar C. Au, Lu Fang, Jiahao Pang, Yuanfang Guo, Jiali Li:
Fast algorithm of arbitrary factor subpixel downsampling based on frequency analysis. ICME 2014: 1-6 - [c9]Yonggen Ling, Oscar C. Au, Ruobing Zou, Jiahao Pang, Haiyan Yang, Amin Zheng:
Photo album compression By leveraging temporal-spatial correlations and HEVC. ISCAS 2014: 1917-1920 - 2013
- [c8]Jiahao Pang, Oscar C. Au, Ketan Tang, Yuanfang Guo:
Image colorization using sparse representation. ICASSP 2013: 1578-1582 - [c7]Ketan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li:
Arbitrary factor image interpolation using geodesic distance weighted 2D autoregressive modeling. ICASSP 2013: 2217-2221 - [c6]Ketan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li, Lu Fang:
Arbitrary factor image interpolation by convolution kernel constrained 2-D autoregressive modeling. ICIP 2013: 996-1000 - [c5]Yongfang Shi, Oscar C. Au, Jiahao Pang, Ketan Tang, Wenxiu Sun, Hong Zhang, Wenjing Zhu, Luheng Jia:
Color clustering matting. ICME 2013: 1-6 - [c4]Yuanfang Guo, Oscar C. Au, Ketan Tang, Jiahao Pang, Wenxiu Sun, Lingfeng Xu, Jiali Li, Xingyu Zhang:
Data hiding in error diffused color halftone images. ISCAS 2013: 2996-2999 - [c3]Yuanfang Guo, Oscar C. Au, Ketan Tang, Jiahao Pang:
Hiding a Secret Pattern into Color Halftone Images. IWDW 2013: 465-474 - [c2]Ketan Tang, Oscar C. Au, Lu Fang, Yuanfang Guo, Jiahao Pang:
Chroma Replacing and adaptive Chroma Blending for subpixel-based downsampling. MMSP 2013: 212-217 - [c1]Yonggen Ling, Oscar C. Au, Ketan Tang, Jiahao Pang, Jin Zeng, Lu Fang:
An analytical study of subpixel-based image down-sampling patterns in frequency domain. VCIP 2013: 1-6
Coauthor Index
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last updated on 2024-08-05 20:20 CEST by the dblp team
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