Image colorization using sparse representation. - Jiahao Pang; Oscar C. Au; Ketan Tang; Yuanfang Guo (ICASSP, 2013)

Arbitrary factor image interpolation using geodesic distance weighted 2D autoregressive modeling. - Ketan Tang; Oscar C. Au; Yuanfang Guo; Jiahao Pang; Jiali Li (ICASSP, 2013)

Arbitrary factor image interpolation by convolution kernel constrained 2-D autoregressive modeling. - Ketan Tang; Oscar C. Au; Yuanfang Guo; Jiahao Pang; Jiali Li; Lu Fang 001 (ICIP, 2013)

Color clustering matting. - Yongfang Shi; Oscar C. Au; Jiahao Pang; Ketan Tang; Wenxiu Sun; Hong Zhang 024; Wenjing Zhu; Luheng Jia (ICME, 2013)

Data hiding in error diffused color halftone images. - Yuanfang Guo; Oscar C. Au; Ketan Tang; Jiahao Pang; Wenxiu Sun; Lingfeng Xu; Jiali Li; Xingyu Zhang (ISCAS, 2013)

Hiding a Secret Pattern into Color Halftone Images. - Yuanfang Guo; Oscar C. Au; Ketan Tang; Jiahao Pang (IWDW, 2013)

Chroma Replacing and adaptive Chroma Blending for subpixel-based downsampling. - Ketan Tang; Oscar C. Au; Lu Fang 001; Yuanfang Guo; Jiahao Pang (MMSP, 2013)

An analytical study of subpixel-based image down-sampling patterns in frequency domain. - Yonggen Ling; Oscar C. Au; Ketan Tang; Jiahao Pang; Jin Zeng; Lu Fang 001 (VCIP, 2013)

Redefining self-similarity in natural images for denoising using graph signal gradient. - Jiahao Pang; Gene Cheung; Wei Hu 003; Oscar C. Au (APSIPA, 2014)

Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling. - Jin Zeng; Oscar C. Au; Yuanfang Guo; Jiahao Pang; Ketan Tang; Yonggen Ling (ICASSP, 2014)

Self-similarity-based image colorization. - Jiahao Pang; Oscar C. Au; Yukihiko Yamashita; Yonggen Ling; Yuanfang Guo; Jin Zeng (ICIP, 2014)

High bit-precision image acquisition and reconstruction by planned sensor distortion. - Pengfei Wan 001; Oscar C. Au; Jiahao Pang; Ketan Tang; Rui Ma (ICIP, 2014)

Natural image matting via adaptive local and nonlocal sample clustering. - Haiyan Yang; Oscar C. Au; Yuan Yuan 002; Wenxiu Sun; Yonggen Ling; Jiahao Pang (ICIP, 2014)

Intra prediction with adaptive CU processing order in HEVC. - Amin Zheng; Oscar C. Au; Yuan Yuan 002; Haitao Yang 001; Jiahao Pang; Yonggen Ling (ICIP, 2014)

Fast algorithm of arbitrary factor subpixel downsampling based on frequency analysis. - Ketan Tang; Oscar C. Au; Lu Fang 001; Jiahao Pang; Yuanfang Guo; Jiali Li (ICME, 2014)

Photo album compression By leveraging temporal-spatial correlations and HEVC. - Yonggen Ling; Oscar C. Au; Ruobing Zou; Jiahao Pang; Haiyan Yang; Amin Zheng (ISCAS, 2014)

Optimal graph laplacian regularization for natural image denoising. - Jiahao Pang; Gene Cheung; Antonio Ortega; Oscar C. Au (ICASSP, 2015)

Image colorization via color propagation and rank minimization. - Yonggen Ling; Oscar C. Au; Jiahao Pang; Jin Zeng; Yuan Yuan 002; Amin Zheng (ICIP, 2015)

Graph Laplacian Regularization for Inverse Imaging: Analysis in the Continuous Domain. - Jiahao Pang; Gene Cheung (CoRR, 2016)

Subpixel-Based Image Scaling for Grid-like Subpixel Arrangements: A Generalized Continuous-Domain Analysis Model. - Jiahao Pang; Lu Fang 001; Jin Zeng; Yuanfang Guo; Ketan Tang (IEEE Trans. Image Process., 2016)

Subpixel Image Quality Assessment Syncretizing Local Subpixel and Global Pixel Features. - Jin Zeng; Lu Fang 001; Jiahao Pang; Houqiang Li; Feng Wu 001 (IEEE Trans. Image Process., 2016)

Accurate Single Stage Detector Using Recurrent Rolling Convolution. - Jimmy S. J. Ren; Xiaohao Chen; Jianbo Liu; Wenxiu Sun; Jiahao Pang; Qiong Yan; Yu-Wing Tai; Li Xu 001 (CVPR, 2017)

Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching. - Jiahao Pang; Wenxiu Sun; Jimmy S. J. Ren; Chengxi Yang; Qiong Yan (ICCV Workshops, 2017)

Robust Tracking Using Region Proposal Networks. - Jimmy S. J. Ren; Zhiyang Yu; Jianbo Liu; Rui Zhang; Wenxiu Sun; Jiahao Pang; Xiaohao Chen; Qiong Yan (CoRR, 2017)

Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation. - Sunil Prasad Jaiswal; Lu Fang 001; Vinit Jakhetiya; Jiahao Pang; Klaus Mueller 001; Oscar C. Au (IEEE Trans. Image Process., 2017)

Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain. - Jiahao Pang; Gene Cheung (IEEE Trans. Image Process., 2017)

DSR: Direct Self-Rectification for Uncalibrated Dual-Lens Cameras. - Ruichao Xiao; Wenxiu Sun; Jiahao Pang; Qiong Yan; Jimmy S. J. Ren (3DV, 2018)

Single View Stereo Matching. - Yue Luo; Jimmy S. J. Ren; Mude Lin; Jiahao Pang; Wenxiu Sun; Hongsheng Li 001; Liang Lin (CVPR, 2018)

LSTM Pose Machines. - Yue Luo; Jimmy S. J. Ren; Zhouxia Wang; Wenxiu Sun; Jinshan Pan; Jianbo Liu; Jiahao Pang; Liang Lin (CVPR, 2018)

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. - Jiahao Pang; Wenxiu Sun; Chengxi Yang; Jimmy S. J. Ren; Ruichao Xiao; Jin Zeng; Liang Lin (CVPR, 2018)

Deep Graph Laplacian Regularization. - Jin Zeng; Jiahao Pang; Wenxiu Sun; Gene Cheung; Ruichao Xiao (CoRR, 2018)

Deep Graph Laplacian Regularization for Robust Denoising of Real Images. - Jin Zeng; Jiahao Pang; Wenxiu Sun; Gene Cheung (CVPR Workshops, 2019)

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. - Di Qiu; Jiahao Pang; Wenxiu Sun; Chengxi Yang (ICCV, 2019)

3D Point Cloud Enhancement Using Graph-Modelled Multiview Depth Measurements. - Xue Zhang; Gene Cheung; Jiahao Pang; Dong Tian (ICIP, 2020)

3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. - Jin Zeng; Gene Cheung; Michael Ng 001; Jiahao Pang; Cheng Yang 003 (IEEE Trans. Image Process., 2020)

TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations. - Jiahao Pang; Duanshun Li; Dong Tian (CVPR, 2021)

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. - Haiyan Wang 019; Jiahao Pang; Muhammad Asad Lodhi; Yingli Tian; Dong Tian (CVPR, 2021)

GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression. - Jiahao Pang; Muhammad Asad Lodhi; Dong Tian (CoRR, 2022)

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. - Xue Zhang; Gene Cheung; Jiahao Pang; Yash Sanghvi; Abhiram Gnanasambandam; Stanley H. Chan (IEEE Trans. Image Process., 2022)

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. - Wei Hu 003; Jiahao Pang; Xianming Liu; Dong Tian; Chia-Wen Lin; Anthony Vetro (IEEE Trans. Multim., 2022)

Sparse Convolution Based Octree Feature Propagation for Lidar Point Cloud Compression. - Muhammad Asad Lodhi; Jiahao Pang; Dong Tian (ICASSP, 2023)

DDA-Net: Deep Distribution-Aware Network for Point Cloud Compression. - Junghyun Ahn; Jiahao Pang; Muhammad Asad Lodhi; Dong Tian (ISCAS, 2023)

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression. - Jiahao Pang; Kevin Bui; Dong Tian (3DV, 2024)

WrappingNet: Mesh Autoencoder Via Deep Sphere Deformation. - Eric Lei; Muhammad Asad Lodhi; Jiahao Pang; Junghyun Ahn; Dong Tian (ICIP, 2024)

Towards Reproducible Learning-Based Compression. - Jiahao Pang; Muhammad Asad Lodhi; Junghyun Ahn; Yuning Huang; Dong Tian (MMSP, 2024)

EntropyGS: An Efficient Entropy Coding on 3D Gaussian Splatting. - Yuning Huang; Jiahao Pang; Fengqing Zhu 001; Dong Tian (CoRR, 2025)