Wei Hu - RankMe

147 papers A* 25A 5B 10C 5Misc 6Journal 82Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are Large Vision-Language Models Robust to Adversarial Visual Transformations? IEEE Trans. Inf. Forensics Secur. Daizong Liu, Xiaowen Cai, Pan Zhou, Xiaoye Qu, Lichao Sun, Wei Hu
2026	J	`jnl`	From Part to Whole: 3D Generative World Model with an Adaptive Structural Hierarchy. CoRR Bi'an Du, Daizong Liu, Pufan Li, Wei Hu
2026	A*	`conf`	Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models. AAAI Daizong Liu, Baoquan Chen, Wei Hu
2025	J	`jnl`	A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. IEEE Trans. Neural Networks Learn. Syst. Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2025	J	`jnl`	A Survey on Text-Guided 3-D Visual Grounding: Elements, Recent Advances, and Future Directions. IEEE Trans. Neural Networks Learn. Syst. Daizong Liu, Yang Liu, Wencan Huang, Wei Hu
2025	A*	`conf`	Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer. ACM Multimedia Zhimin Zhang, Bi'an Du, Caoyuan Ma, Zheng Wang, Wei Hu
2025	J	`jnl`	Dynamic Point Cloud Denoising via Gradient Fields. ACM Trans. Multim. Comput. Commun. Appl. Qianjiang Hu, Wei Hu
2025	A*	`conf`	Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding. ACM Multimedia Wencan Huang, Daizong Liu, Wei Hu
2025	J	`jnl`	Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding. CoRR Wencan Huang, Daizong Liu, Wei Hu
2025	J	`jnl`	Imperceptible Backdoor Attacks on Text-Guided 3D Scene Grounding. IEEE Trans. Multim. Daizong Liu, Wei Hu
2025	—	`conf`	Improving the Transferability of Point Cloud Attack via Spectral-Aware Admix and Optimization Designs. ICANN (2) Shiyu Hu, Daizong Liu, Wei Hu
2025	J	`jnl`	Learning Latent Part-Whole Hierarchies for Point Clouds. Int. J. Comput. Vis. Xiang Gao, Wei Hu, Renjie Liao
2025	A*	`conf`	Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks. CVPR Daizong Liu, Wei Hu
2025	J	`jnl`	Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Chen Zhang, Yu Shen, Yifan Chen, Zekang Cheng, Yu Jiang, Tianqi Wang, Yibo Lin, Wei Hu, Bin Cui, Runsheng Wang, Yun Liang, Guangyu Sun
2024	J	`jnl`	A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. CoRR Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2024	J	`jnl`	A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions. CoRR Daizong Liu, Yang Liu, Wencan Huang, Wei Hu
2024	A*	`conf`	Advancing 3D Object Grounding Beyond a Single 3D Scene. ACM Multimedia Wencan Huang, Daizong Liu, Wei Hu
2024	J	`jnl`	CasSR: Activating Image Power for Real-World Image Super-Resolution. CoRR Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu
2024	A*	`conf`	Cross-Task Knowledge Transfer for Semi-supervised Joint 3D Grounding and Captioning. ACM Multimedia Yang Liu, Daizong Liu, Zongming Guo, Wei Hu
2024	A*	`conf`	Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. AAAI Daizong Liu, Wei Hu
2024	A*	`conf`	Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. CVPR Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao
2024	J	`jnl`	Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. CoRR Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao
2024	J	`jnl`	Hard-Label Black-Box Attacks on 3D Point Clouds. CoRR Daizong Liu, Yunbo Tao, Pan Zhou, Wei Hu
2024	J	`jnl`	Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs. CoRR Shiyu Hu, Daizong Liu, Wei Hu
2024	Misc	`conf`	InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. ICASSP Zhimin Zhang, Xiang Gao, Wei Hu
2024	J	`jnl`	InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. CoRR Zhimin Zhang, Xiang Gao, Wei Hu
2024	—	`conf`	Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. ICPR (30) Yang Liu, Daizong Liu, Wei Hu
2024	J	`jnl`	Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. CoRR Yang Liu, Daizong Liu, Wei Hu
2024	J	`jnl`	Multi-scale Latent Point Consistency Models for 3D Shape Generation. CoRR Bi'an Du, Wei Hu, Renjie Liao
2024	J	`jnl`	Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. IEEE Trans. Pattern Anal. Mach. Intell. Daizong Liu, Wei Hu, Xin Li
2024	—	`conf`	RangeLDM: Fast Realistic LiDAR Point Cloud Generation. ECCV (44) Qianjiang Hu, Zhimin Zhang, Wei Hu
2024	J	`jnl`	RangeLDM: Fast Realistic LiDAR Point Cloud Generation. CoRR Qianjiang Hu, Zhimin Zhang, Wei Hu
2024	J	`jnl`	Robust Geometry-Dependent Attack for 3D Point Clouds. IEEE Trans. Multim. Daizong Liu, Wei Hu, Xin Li
2024	J	`jnl`	Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. ACM Trans. Multim. Comput. Commun. Appl. Xiang Gao, Wei Hu, Guo-Jun Qi
2023	A*	`conf`	3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. ICCV Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu
2023	J	`jnl`	3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. CoRR Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu
2023	J	`jnl`	COPPER: a combinatorial optimization problem solver with processing-in-memory architecture. Frontiers Inf. Technol. Electron. Eng. Qiankun Wang, Xingchen Li, Bingzhe Wu, Ke Yang, Wei Hu, Guangyu Sun, Yuchao Yang
2023	J	`jnl`	Deep Point Set Resampling via Gradient Fields. IEEE Trans. Pattern Anal. Mach. Intell. Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu
2023	A*	`conf`	Dense Object Grounding in 3D Scenes. ACM Multimedia Wencan Huang, Daizong Liu, Wei Hu
2023	J	`jnl`	Dense Object Grounding in 3D Scenes. CoRR Wencan Huang, Daizong Liu, Wei Hu
2023	A*	`conf`	Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CVPR Qianjiang Hu, Daizong Liu, Wei Hu
2023	J	`jnl`	Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CoRR Qianjiang Hu, Daizong Liu, Wei Hu
2023	J	`jnl`	Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding. IEEE Trans. Multim. Daizong Liu, Xiang Fang, Wei Hu, Pan Zhou
2023	J	`jnl`	Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. IEEE Trans. Pattern Anal. Mach. Intell. Daizong Liu, Wei Hu
2023	B	`conf`	Robust Graph-Based Segmentation of Noisy Point Clouds. ICIP Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu
2023	—	`conf`	Robust Watermark Imaging via Graph-signal Optimization. APSIPA ASC Ruiguo Yang, Xinhui Han, Wenfa Qi, Wei Hu
2023	J	`jnl`	Self-Supervised Graph Representation Learning via Topology Transformations. IEEE Trans. Knowl. Data Eng. Xiang Gao, Wei Hu, Guo-Jun Qi
2022	J	`jnl`	Dynamic Point Cloud Denoising via Gradient Fields. CoRR Qianjiang Hu, Wei Hu
2022	J	`jnl`	Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding. CoRR Daizong Liu, Xiang Fang, Wei Hu, Pan Zhou
2022	—	`conf`	Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. ECCV (3) Qianjiang Hu, Daizong Liu, Wei Hu
2022	J	`jnl`	Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. CoRR Qianjiang Hu, Daizong Liu, Wei Hu
2022	J	`jnl`	Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding. IEEE Trans. Image Process. Wenfa Qi, Sirui Guo, Wei Hu
2022	J	`jnl`	Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. IEEE Trans. Multim. Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro
2022	J	`jnl`	Learning Latent Part-Whole Hierarchies for Point Clouds. CoRR Xiang Gao, Wei Hu, Renjie Liao
2022	B	`conf`	Learning to Focus on the Foreground for Temporal Sentence Grounding. COLING Daizong Liu, Wei Hu
2022	J	`jnl`	Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. CoRR Shentong Mo, Daizong Liu, Wei Hu
2022	J	`jnl`	Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. CoRR Daizong Liu, Wei Hu, Xin Li
2022	A*	`conf`	Reducing the Vision and Language Bias for Temporal Sentence Grounding. ACM Multimedia Daizong Liu, Xiaoye Qu, Wei Hu
2022	J	`jnl`	Reducing the Vision and Language Bias for Temporal Sentence Grounding. CoRR Daizong Liu, Xiaoye Qu, Wei Hu
2022	A	`conf`	Rethinking Graph Neural Networks for Unsupervised Video Object Segmentation. BMVC Daizong Liu, Wei Hu
2022	J	`jnl`	Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Cheng Yang, Gene Cheung, Wei Hu
2022	A*	`conf`	Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization. ACM Multimedia Daizong Liu, Wei Hu
2022	J	`jnl`	Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization. CoRR Daizong Liu, Wei Hu
2022	J	`jnl`	Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clustering. CoRR Zhimin Zhang, Zheng Wang, Wei Hu
2021	—	`conf`	3D Hand Pose Estimation via Regularized Graph Representation Learning. CICAI Yiming He, Wei Hu
2021	J	`jnl`	AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing. IEEE Trans. Image Process. Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei
2021	A*	`conf`	AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. CVPR Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi
2021	J	`jnl`	Adaptive Graph Representation Learning and Reasoning for Face Parsing. CoRR Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei
2021	J	`jnl`	Deep Point Set Resampling via Gradient Fields. CoRR Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu
2021	A*	`conf`	Diffusion Probabilistic Models for 3D Point Cloud Generation. CVPR Shitong Luo, Wei Hu
2021	J	`jnl`	Diffusion Probabilistic Models for 3D Point Cloud Generation. CoRR Shitong Luo, Wei Hu
2021	J	`jnl`	Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. IEEE Trans. Image Process. Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao
2021	J	`jnl`	Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning. IEEE Trans. Multim. Zeqing Fu, Wei Hu
2021	J	`jnl`	Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding. CoRR Wenfa Qi, Wei Hu, Sirui Guo, Zongming Guo, Xiang Wang
2021	J	`jnl`	Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. CoRR Daizong Liu, Wei Hu
2021	J	`jnl`	Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. IEEE Trans. Circuits Syst. Video Technol. Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao
2021	Misc	`conf`	RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs. ICASSP Jiaxiang Tang, Xiang Gao, Wei Hu
2021	A*	`conf`	SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving. INFOCOM Wenquan Xu, Haoyu Song, Linyang Hou, Hui Zheng, Xinggong Zhang, Chuwen Zhang, Wei Hu, Yi Wang, Bin Liu
2021	A*	`conf`	Score-Based Point Cloud Denoising. ICCV Shitong Luo, Wei Hu
2021	J	`jnl`	Score-Based Point Cloud Denoising. CoRR Shitong Luo, Wei Hu
2021	A*	`conf`	Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. ACM Multimedia Bi'an Du, Xiang Gao, Wei Hu, Xin Li
2021	J	`jnl`	Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. CoRR Bi'an Du, Xiang Gao, Wei Hu, Xin Li
2021	J	`jnl`	Self-Supervised Graph Representation Learning via Topology Transformations. CoRR Xiang Gao, Wei Hu, Guo-Jun Qi
2021	J	`jnl`	Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. CoRR Xiang Gao, Wei Hu, Guo-Jun Qi
2021	—	`conf`	Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. ICCVW Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu
2020	J	`jnl`	3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. CoRR Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao
2020	A	`conf`	3d Dynamic Point Cloud Inpainting Via Temporal Consistency On Graphs. ICME Zeqing Fu, Wei Hu, Zongming Guo
2020	J	`jnl`	AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi
2020	A*	`conf`	Differentiable Manifold Reconstruction for Point Cloud Denoising. ACM Multimedia Shitong Luo, Wei Hu
2020	J	`jnl`	Differentiable Manifold Reconstruction for Point Cloud Denoising. CoRR Shitong Luo, Wei Hu
2020	—	`conf`	Edge-Aware Graph Representation Learning and Reasoning for Face Parsing. ECCV (12) Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei
2020	J	`jnl`	Edge-aware Graph Representation Learning and Reasoning for Face Parsing. CoRR Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei
2020	A	`conf`	Exploring Hypergraph Representation On Face Anti-Spoofing Beyond 2d Attacks. ICME Gusi Te, Wei Hu, Zongming Guo
2020	A	`conf`	Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification. ICME Xiang Gao, Wei Hu, Zongming Guo
2020	J	`jnl`	Fast Graph Metric Learning via Gershgorin Disc Alignment. CoRR Cheng Yang, Gene Cheung, Wei Hu
2020	J	`jnl`	Feature Graph Learning for 3D Point Cloud Denoising. IEEE Trans. Signal Process. Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo
2020	Misc	`conf`	Graph Metric Learning via Gershgorin Disc Alignment. ICASSP Cheng Yang, Gene Cheung, Wei Hu
2020	J	`jnl`	Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. CoRR Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro
2020	A*	`conf`	GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. CVPR Xiang Gao, Wei Hu, Guo-Jun Qi
2020	A*	`conf`	Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. ACM Multimedia Xin Wang, Bo Wu, Yueqi Zhong, Wei Hu, Jan Zahálka
2020	J	`jnl`	Signed Graph Metric Learning via Gershgorin Disc Alignment. CoRR Cheng Yang, Gene Cheung, Wei Hu
2019	J	`jnl`	3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. CoRR Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo
2019	A*	`conf`	DoT-GNN: Domain-Transferred Graph Neural Network for Group Re-identification. ACM Multimedia Ziling Huang, Zheng Wang, Wei Hu, Chia-Wen Lin, Shin'ichi Satoh
2019	J	`jnl`	Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. CoRR Xiang Gao, Wei Hu, Zongming Guo
2019	J	`jnl`	Feature Graph Learning for 3D Point Cloud Denoising. CoRR Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo
2019	A	`conf`	Feature Preserving and Uniformity-Controllable Point Cloud Simplification on Graph. ICME Junkun Qi, Wei Hu, Zongming Guo
2019	J	`jnl`	Graph-based Inpainting for 3D Dynamic Point Clouds. CoRR Zeqing Fu, Wei Hu, Zongming Guo
2019	J	`jnl`	GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. CoRR Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo
2019	J	`jnl`	GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. CoRR Xiang Gao, Wei Hu, Guo-Jun Qi
2019	J	`jnl`	Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. CoRR Jiaxiang Tang, Wei Hu, Xiang Gao, Zongming Guo
2019	J	`jnl`	Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. IEEE Trans. Image Process. Wei Hu, Zeqing Fu, Zongming Guo
2019	—	`conf`	OPV: Bias Correction Based Optimal Probabilistic Viewport-Adaptive Streaming for 360-Degree Video. ICME Workshops Weihong Lin, Xinggong Zhang, Zongming Guo, Wei Hu
2019	A*	`conf`	Optimized Skeleton-based Action Recognition via Sparsified Graph Regression. ACM Multimedia Xiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, Zongming Guo
2019	B	`conf`	Point Cloud Attribute Inpainting in Graph Spectral Domain. ICIP Ju He, Zeqing Fu, Wei Hu, Zongming Guo
2019	J	`jnl`	Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. CoRR Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao
2018	Misc	`conf`	Cluster-Based Point Cloud Coding with Normal Weighted Graph Fourier Transform. ICASSP Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Wen Gao
2018	J	`jnl`	Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks. CoRR Wei Hu, Gusi Te, Ju He, Dong Chen, Zongming Guo
2018	J	`jnl`	Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph. CoRR Junkun Qi, Wei Hu, Zongming Guo
2018	J	`jnl`	Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR Xiang Gao, Wei Hu, Jiaxiang Tang, Pan Pan, Jiaying Liu, Zongming Guo
2018	—	`conf`	Graph-Based Point Cloud Denoising. BigMM Xianz Gao, Wei Hu, Zongming Guo
2018	J	`jnl`	Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. CoRR Zeqing Fu, Wei Hu, Zongming Guo
2018	J	`jnl`	Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture. ACM Trans. Multim. Comput. Commun. Appl. Wei Hu, Mozhdeh Seifi, Erik Reinhard
2018	B	`conf`	Path Coding on Geometric Planar Graph for 2D / 3D Visual Data Partitioning. ICIP Weihang Liao, Gene Cheung, Wei Hu
2018	B	`conf`	Point Cloud Inpainting on Graphs from Non-Local Self-Similarity. ICIP Zeqing Fu, Wei Hu, Zongming Guo
2018	A*	`conf`	RGCNN: Regularized Graph CNN for Point Cloud Segmentation. ACM Multimedia Gusi Te, Wei Hu, Amin Zheng, Zongming Guo
2018	J	`jnl`	RGCNN: Regularized Graph CNN for Point Cloud Segmentation. CoRR Gusi Te, Wei Hu, Zongming Guo, Amin Zheng
2017	C	`conf`	Optical center estimation for lenslet-based plenoptic cameras. MMSP Wei Hu, Mozhdeh Seifi, Erik Reinhard
2016	J	`jnl`	Graph-based Dequantization of Block-Compressed Piecewise Smooth Images. IEEE Signal Process. Lett. Wei Hu, Gene Cheung, Masato Kazui
2015	C	`conf`	Edge-adaptive depth map coding with lifting transform on graphs. PCS Yung Hsuan Chao, Antonio Ortega, Wei Hu, Gene Cheung
2015	J	`jnl`	Intra-Prediction and Generalized Graph Fourier Transform for Image Coding. IEEE Signal Process. Lett. Wei Hu, Gene Cheung, Antonio Ortega
2015	J	`jnl`	Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images. IEEE Trans. Image Process. Wei Hu, Gene Cheung, Antonio Ortega, Oscar C. Au
2014	B	`conf`	Graph-based joint denoising and super-resolution of generalized piecewise smooth images. ICIP Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
2014	—	`conf`	Improved temporal psychovisual modulation for backward-compatible stereoscopic display. GlobalSIP Rui Ma, Oscar C. Au, Pengfei Wan, Lingfeng Xu, Wenxiu Sun, Wei Hu
2014	—	`conf`	Redefining self-similarity in natural images for denoising using graph signal gradient. APSIPA Jiahao Pang, Gene Cheung, Wei Hu, Oscar C. Au
2014	Misc	`conf`	SSIM-based rate-distortion optimization in H.264. ICASSP Wei Dai, Oscar C. Au, Wenjing Zhu, Pengfei Wan, Wei Hu, Jiantao Zhou
2014	J	`jnl`	Seamless View Synthesis Through Texture Optimization. IEEE Trans. Image Process. Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu
2013	B	`conf`	A robust interpolation-free approach for sub-pixel accuracy motion estimation. ICIP Wei Dai, Oscar C. Au, Wenjing Zhu, Wei Hu, Pengfei Wan, Jiali Li
2013	C	`conf`	Depth map denoising using graph-based transform and group sparsity. MMSP Wei Hu, Xin Li, Gene Cheung, Oscar C. Au
2013	—	`conf`	Inferring Depth from a Pair of Images Captured Using Different Aperture Settings. MMM (2) Yujun Li, Oscar C. Au, Lingfeng Xu, Wenxiu Sun, Wei Hu
2013	B	`conf`	Optimal dependent bit allocation for AVS intra-frame coding via successive convex approximation. ICIP Chao Pang, Oscar C. Au, Feng Zou, Xingyu Zhang, Wei Hu, Pengfei Wan
2013	C	`conf`	Personal photo album compression and management. ISCAS Ruobing Zou, Oscar C. Au, Guyue Zhou, Wei Dai, Wei Hu, Pengfei Wan
2013	Misc	`conf`	Ray-space based camera spacing correction via convex optimization. ICASSP Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Jiali Li, Wei Hu, Rui Ma
2012	C	`conf`	Adaptive depth map filter for blocking artifacts removal and edge preserving. ISCAS Wei Hu, Oscar C. Au, Lin Sun, Wenxiu Sun, Lingfeng Xu, Yujun Li
2012	—	`conf`	Depth Map Super-Resolution Using Synthesized View Matching for Depth-Image-Based Rendering. ICME Workshops Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
2012	B	`conf`	Depth map compression using multi-resolution graph-based transform for depth-image-based rendering. ICIP Wei Hu, Gene Cheung, Xin Li, Oscar C. Au
2012	B	`conf`	Novel temporal domain hole filling based on background modeling for view synthesis. ICIP Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu
2012	A*	`conf`	Texture optimization for seamless view synthesis through energy minimization. ACM Multimedia Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Zhiding Yu