Depth map compression using multi-resolution graph-based transform for depth-image-based rendering. - Wei Hu 003; Gene Cheung; Xin Li 005; Oscar C. Au (ICIP, 2012)

Novel temporal domain hole filling based on background modeling for view synthesis. - Wenxiu Sun; Oscar C. Au; Lingfeng Xu; Yujun Li; Wei Hu 003 (ICIP, 2012)

Depth Map Super-Resolution Using Synthesized View Matching for Depth-Image-Based Rendering. - Wei Hu 003; Gene Cheung; Xin Li 005; Oscar C. Au (ICME Workshops, 2012)

Adaptive depth map filter for blocking artifacts removal and edge preserving. - Wei Hu 003; Oscar C. Au; Lin Sun 004; Wenxiu Sun; Lingfeng Xu; Yujun Li (ISCAS, 2012)

Texture optimization for seamless view synthesis through energy minimization. - Wenxiu Sun; Oscar C. Au; Lingfeng Xu; Yujun Li; Wei Hu 003; Zhiding Yu (ACM Multimedia, 2012)

Ray-space based camera spacing correction via convex optimization. - Lingfeng Xu; Oscar C. Au; Wenxiu Sun; Jiali Li; Wei Hu 003; Rui Ma (ICASSP, 2013)

A robust interpolation-free approach for sub-pixel accuracy motion estimation. - Wei Dai 002; Oscar C. Au; Wenjing Zhu; Wei Hu 003; Pengfei Wan 001; Jiali Li (ICIP, 2013)

Optimal dependent bit allocation for AVS intra-frame coding via successive convex approximation. - Chao Pang; Oscar C. Au; Feng Zou 006; Xingyu Zhang; Wei Hu 003; Pengfei Wan 001 (ICIP, 2013)

Personal photo album compression and management. - Ruobing Zou; Oscar C. Au; Guyue Zhou; Wei Dai 002; Wei Hu 003; Pengfei Wan 001 (ISCAS, 2013)

Inferring Depth from a Pair of Images Captured Using Different Aperture Settings. - Yujun Li; Oscar C. Au; Lingfeng Xu; Wenxiu Sun; Wei Hu 003 (MMM (2), 2013)

Depth map denoising using graph-based transform and group sparsity. - Wei Hu 003; Xin Li 005; Gene Cheung; Oscar C. Au (MMSP, 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)

Improved temporal psychovisual modulation for backward-compatible stereoscopic display. - Rui Ma; Oscar C. Au; Pengfei Wan 001; Lingfeng Xu; Wenxiu Sun; Wei Hu 003 (GlobalSIP, 2014)

SSIM-based rate-distortion optimization in H.264. - Wei Dai 002; Oscar C. Au; Wenjing Zhu; Pengfei Wan 001; Wei Hu 003; Jiantao Zhou 001 (ICASSP, 2014)

Graph-based joint denoising and super-resolution of generalized piecewise smooth images. - Wei Hu 003; Gene Cheung; Xin Li 005; Oscar C. Au (ICIP, 2014)

Seamless View Synthesis Through Texture Optimization. - Wenxiu Sun; Oscar C. Au; Lingfeng Xu; Yujun Li; Wei Hu 003 (IEEE Trans. Image Process., 2014)

Edge-adaptive depth map coding with lifting transform on graphs. - Yung Hsuan Chao; Antonio Ortega; Wei Hu 003; Gene Cheung (PCS, 2015)

Intra-Prediction and Generalized Graph Fourier Transform for Image Coding. - Wei Hu 003; Gene Cheung; Antonio Ortega (IEEE Signal Process. Lett., 2015)

Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images. - Wei Hu 003; Gene Cheung; Antonio Ortega; Oscar C. Au (IEEE Trans. Image Process., 2015)

Graph-based Dequantization of Block-Compressed Piecewise Smooth Images. - Wei Hu 003; Gene Cheung; Masato Kazui (IEEE Signal Process. Lett., 2016)

Optical center estimation for lenslet-based plenoptic cameras. - Wei Hu 003; Mozhdeh Seifi; Erik Reinhard (MMSP, 2017)

Graph-Based Point Cloud Denoising. - Xianz Gao; Wei Hu 003; Zongming Guo (BigMM, 2018)

Cluster-Based Point Cloud Coding with Normal Weighted Graph Fourier Transform. - Yiqun Xu; Wei Hu 003; Shanshe Wang; Xinfeng Zhang 001; Shiqi Wang 001; Siwei Ma; Wen Gao 001 (ICASSP, 2018)

Point Cloud Inpainting on Graphs from Non-Local Self-Similarity. - Zeqing Fu; Wei Hu 003; Zongming Guo (ICIP, 2018)

Path Coding on Geometric Planar Graph for 2D / 3D Visual Data Partitioning. - Weihang Liao; Gene Cheung; Wei Hu 003 (ICIP, 2018)

RGCNN: Regularized Graph CNN for Point Cloud Segmentation. - Gusi Te; Wei Hu 003; Amin Zheng; Zongming Guo (ACM Multimedia, 2018)

Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks. - Wei Hu 003; Gusi Te; Ju He; Dong Chen; Zongming Guo (CoRR, 2018)

Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. - Xiang Gao 014; Wei Hu 003; Jiaxiang Tang; Pan Pan; Jiaying Liu 001; Zongming Guo (CoRR, 2018)

Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture. - Wei Hu 003; Mozhdeh Seifi; Erik Reinhard (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Point Cloud Attribute Inpainting in Graph Spectral Domain. - Ju He; Zeqing Fu; Wei Hu 003; Zongming Guo (ICIP, 2019)

OPV: Bias Correction Based Optimal Probabilistic Viewport-Adaptive Streaming for 360-Degree Video. - Weihong Lin; Xinggong Zhang; Zongming Guo; Wei Hu 003 (ICME Workshops, 2019)

Feature Preserving and Uniformity-Controllable Point Cloud Simplification on Graph. - Junkun Qi; Wei Hu 003; Zongming Guo (ICME, 2019)

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression. - Xiang Gao 014; Wei Hu 003; Jiaxiang Tang; Jiaying Liu 001; Zongming Guo (ACM Multimedia, 2019)

DoT-GNN: Domain-Transferred Graph Neural Network for Group Re-identification. - Ziling Huang; Zheng Wang 007; Wei Hu 003; Chia-Wen Lin; Shin'ichi Satoh 001 (ACM Multimedia, 2019)

Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. - Xiang Gao 014; Wei Hu 003; Zongming Guo (CoRR, 2019)

Graph-based Inpainting for 3D Dynamic Point Clouds. - Zeqing Fu; Wei Hu 003; Zongming Guo (CoRR, 2019)

3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. - Qianjiang Hu; Zehua Wang; Wei Hu 003; Xiang Gao 014; Zongming Guo (CoRR, 2019)

Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. - Jiaxiang Tang; Wei Hu 003; Xiang Gao 014; Zongming Guo (CoRR, 2019)

GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. - Yiming He; Wei Hu 003; Siyuan Yang 001; Xiaochao Qu; Pengfei Wan 001; Zongming Guo (CoRR, 2019)

Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. - Wei Hu 003; Zeqing Fu; Zongming Guo (IEEE Trans. Image Process., 2019)

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (CVPR, 2020)

Edge-Aware Graph Representation Learning and Reasoning for Face Parsing. - Gusi Te; Yinglu Liu; Wei Hu 003; Hailin Shi; Tao Mei 001 (ECCV (12), 2020)

Graph Metric Learning via Gershgorin Disc Alignment. - Cheng Yang 003; Gene Cheung; Wei Hu 003 (ICASSP, 2020)

3d Dynamic Point Cloud Inpainting Via Temporal Consistency On Graphs. - Zeqing Fu; Wei Hu 003; Zongming Guo (ICME, 2020)

Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification. - Xiang Gao 014; Wei Hu 003; Zongming Guo (ICME, 2020)

Exploring Hypergraph Representation On Face Anti-Spoofing Beyond 2d Attacks. - Gusi Te; Wei Hu 003; Zongming Guo (ICME, 2020)

Differentiable Manifold Reconstruction for Point Cloud Denoising. - Shitong Luo; Wei Hu 003 (ACM Multimedia, 2020)

Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. - Xin Wang 131; Bo Wu 018; Yueqi Zhong; Wei Hu 003; Jan Zahálka (ACM Multimedia, 2020)

Fast Graph Metric Learning via Gershgorin Disc Alignment. - Cheng Yang 003; Gene Cheung; Wei Hu 003 (CoRR, 2020)

3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. - Wei Hu 003; Qianjiang Hu; Zehua Wang; Xiang Gao 014 (CoRR, 2020)

Signed Graph Metric Learning via Gershgorin Disc Alignment. - Cheng Yang 003; Gene Cheung; Wei Hu 003 (CoRR, 2020)

Feature Graph Learning for 3D Point Cloud Denoising. - Wei Hu 003; Xiang Gao 014; Gene Cheung; Zongming Guo (IEEE Trans. Signal Process., 2020)

3D Hand Pose Estimation via Regularized Graph Representation Learning. - Yiming He; Wei Hu 003 (CICAI, 2021)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. - Qianjiang Hu; Xiao Wang 004; Wei Hu 003; Guo-Jun Qi (CVPR, 2021)

Diffusion Probabilistic Models for 3D Point Cloud Generation. - Shitong Luo; Wei Hu 003 (CVPR, 2021)

RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs. - Jiaxiang Tang; Xiang Gao 014; Wei Hu 003 (ICASSP, 2021)

Score-Based Point Cloud Denoising. - Shitong Luo; Wei Hu 003 (ICCV, 2021)

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. - Haolan Chen; Shitong Luo; Xiang Gao 014; Wei Hu 003 (ICCVW, 2021)

SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving. - Wenquan Xu; Haoyu Song 001; Linyang Hou; Hui Zheng; Xinggong Zhang; Chuwen Zhang; Wei Hu 003; Yi Wang 004; Bin Liu 001 (INFOCOM, 2021)

Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. - Bi'an Du; Xiang Gao 014; Wei Hu 003; Xin Li 005 (ACM Multimedia, 2021)

Adaptive Graph Representation Learning and Reasoning for Face Parsing. - Gusi Te; Wei Hu 003; Yinglu Liu; Hailin Shi; Tao Mei 001 (CoRR, 2021)

Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding. - Wenfa Qi; Wei Hu 003; Sirui Guo; Zongming Guo; Xiang Wang 009 (CoRR, 2021)

Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. - Yiqun Xu; Wei Hu 003; Shanshe Wang; Xinfeng Zhang 001; Shiqi Wang 001; Siwei Ma; Zongming Guo; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. - Wei Hu 003; Qianjiang Hu; Zehua Wang; Xiang Gao 014 (IEEE Trans. Image Process., 2021)

AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing. - Gusi Te; Wei Hu 003; Yinglu Liu; Hailin Shi; Tao Mei 001 (IEEE Trans. Image Process., 2021)

Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning. - Zeqing Fu; Wei Hu 003 (IEEE Trans. Multim., 2021)

Rethinking Graph Neural Networks for Unsupervised Video Object Segmentation. - Daizong Liu; Wei Hu 003 (BMVC, 2022)

Learning to Focus on the Foreground for Temporal Sentence Grounding. - Daizong Liu; Wei Hu 003 (COLING, 2022)

Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. - Qianjiang Hu; Daizong Liu; Wei Hu 003 (ECCV (3), 2022)

Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization. - Daizong Liu; Wei Hu 003 (ACM Multimedia, 2022)

Reducing the Vision and Language Bias for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Wei Hu 003 (ACM Multimedia, 2022)

Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. - Shentong Mo; Daizong Liu; Wei Hu 003 (CoRR, 2022)

Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clustering. - Zhimin Zhang 008; Zheng Wang 007; Wei Hu 003 (CoRR, 2022)

Learning Latent Part-Whole Hierarchies for Point Clouds. - Xiang Gao 014; Wei Hu 003; Renjie Liao (CoRR, 2022)

Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. - Cheng Yang 003; Gene Cheung; Wei Hu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding. - Wenfa Qi; Sirui Guo; Wei Hu 003 (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)

Robust Watermark Imaging via Graph-signal Optimization. - Ruiguo Yang; Xinhui Han; Wenfa Qi; Wei Hu 003 (APSIPA ASC, 2023)

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. - Qianjiang Hu; Daizong Liu; Wei Hu 003 (CVPR, 2023)

3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. - Yunbo Tao; Daizong Liu; Pan Zhou 001; Yulai Xie; Wei Du 009; Wei Hu 003 (ICCV, 2023)

Robust Graph-Based Segmentation of Noisy Point Clouds. - Pufan Li; Xiang Gao 014; Qianjiang Hu; Wei Hu 003 (ICIP, 2023)

Dense Object Grounding in 3D Scenes. - Wencan Huang; Daizong Liu; Wei Hu 003 (ACM Multimedia, 2023)

Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding. - Daizong Liu; Xiang Fang; Wei Hu 003; Pan Zhou 001 (IEEE Trans. Multim., 2023)

Deep Point Set Resampling via Gradient Fields. - Haolan Chen; Bi'an Du; Shitong Luo; Wei Hu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. - Daizong Liu; Wei Hu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Graph Representation Learning via Topology Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (IEEE Trans. Knowl. Data Eng., 2023)

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. - Daizong Liu; Wei Hu 003 (AAAI, 2024)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation. - Qianjiang Hu; Zhimin Zhang 008; Wei Hu 003 (ECCV (44), 2024)

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. - Zhimin Zhang 008; Xiang Gao 014; Wei Hu 003 (ICASSP, 2024)

Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. - Yang Liu; Daizong Liu; Wei Hu 003 (ICPR (30), 2024)

Advancing 3D Object Grounding Beyond a Single 3D Scene. - Wencan Huang; Daizong Liu; Wei Hu 003 (ACM Multimedia, 2024)

Cross-Task Knowledge Transfer for Semi-supervised Joint 3D Grounding and Captioning. - Yang Liu; Daizong Liu; Zongming Guo; Wei Hu 003 (ACM Multimedia, 2024)

Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. - Bi'an Du; Xiang Gao 014; Wei Hu 003; Renjie Liao (CoRR, 2024)

CasSR: Activating Image Power for Real-World Image Super-Resolution. - Haolan Chen; Jinhua Hao; Kai Zhao; Kun Yuan 003; Ming Sun 008; Chao Zhou 003; Wei Hu 003 (CoRR, 2024)

A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions. - Daizong Liu; Yang Liu; Wencan Huang; Wei Hu 003 (CoRR, 2024)

A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Yu Cheng 001; Wei Hu 003 (CoRR, 2024)

Hard-Label Black-Box Attacks on 3D Point Clouds. - Daizong Liu; Yunbo Tao; Pan Zhou 001; Wei Hu 003 (CoRR, 2024)

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs. - Shiyu Hu; Daizong Liu; Wei Hu 003 (CoRR, 2024)

Multi-scale Latent Point Consistency Models for 3D Shape Generation. - Bi'an Du; Wei Hu 003; Renjie Liao (CoRR, 2024)

Robust Geometry-Dependent Attack for 3D Point Clouds. - Daizong Liu; Wei Hu 003; Xin Li 005 (IEEE Trans. Multim., 2024)

Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. - Daizong Liu; Wei Hu 003; Xin Li 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks. - Daizong Liu; Wei Hu 003 (CVPR, 2025)

Imperceptible Backdoor Attacks on Text-Guided 3D Scene Grounding. - Daizong Liu; Wei Hu 003 (IEEE Trans. Multim., 2025)

Dynamic Point Cloud Denoising via Gradient Fields. - Qianjiang Hu; Wei Hu 003 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding. - Wencan Huang; Daizong Liu; Wei Hu 003 (CoRR, 2025)