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ORCIDWei Hu 0003
胡玮
Person information
- unicode name: 胡玮
- affiliation: Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- affiliation (2015-2017): Technicolor, Rennes, France
- affiliation (PhD 2015): Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
Other persons with the same name
- Wei Hu — disambiguation page
- Wei Hu 0001
![[0000-0003-1204-8880]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1204-8880")
— Wuhan University of Science and Technology, College of Computer Science and Technology, China (and 1 more) - Wei Hu 0002 — Intel Labs China, Beijing, China
- Wei Hu 0004 — Beijing University of Chemical Technology, College of Information Science and Technology, China
- Wei Hu 0005 — Nanjing University, College of Engineering and Applied Sciences / National Laboratory of Solid State Microstructures, China
- Wei Hu 0006 — Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA
- Wei Hu 0007 — Nanjing University, State Key Laboratory for Novel Software Technology, China (and 1 more)
- Wei Hu 0008 — University of California San Diego, Department of Computer Science and Engineering, La Jolla, CA, USA (and 1 more)
- Wei Hu 0009 — Xiamen University, Department of Communication Engineering, China
- Wei Hu 0010 — Wuhan University, School of Resource and Environmental Sciences, China
- Wei Hu 0011 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Wei Hu 0012 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Wei Hu 0013 — Beijing Jiaotong University, School of Systems Science, China (and 1 more)
- Wei Hu 0014 — Princeton University, Computer Science Department, NJ, USA
- Wei Hu 0015 — State Grid Power Space Technology Company Limited, China
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2020 – today
- 2024
[j21]Daizong Liu, Wei Hu, Xin Li:
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3079-3095 (2024)- [j20]Daizong Liu, Wei Hu, Xin Li:
Robust Geometry-Dependent Attack for 3D Point Clouds. IEEE Trans. Multim. 26: 2866-2877 (2024) - [j19]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 19:1-19:23 (2024) - [c59]Daizong Liu, Wei Hu:
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. AAAI 2024: 3576-3584 - [c58]Qianjiang Hu, Zhimin Zhang, Wei Hu:
RangeLDM: Fast Realistic LiDAR Point Cloud Generation. ECCV (44) 2024: 115-135 - [c57]Zhimin Zhang, Xiang Gao, Wei Hu:
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. ICASSP 2024: 7420-7424 - [c56]Yang Liu, Daizong Liu, Wei Hu:
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. ICPR (30) 2024: 249-264 - [c55]Yang Liu, Daizong Liu, Zongming Guo, Wei Hu:
Cross-Task Knowledge Transfer for Semi-supervised Joint 3D Grounding and Captioning. ACM Multimedia 2024: 3818-3827 - [c54]Wencan Huang, Daizong Liu, Wei Hu:
Advancing 3D Object Grounding Beyond a Single 3D Scene. ACM Multimedia 2024: 7995-8004 - [i51]Zhimin Zhang, Xiang Gao, Wei Hu:
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. CoRR abs/2401.03765 (2024) - [i50]Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao:
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. CoRR abs/2402.17464 (2024) - [i49]Qianjiang Hu, Zhimin Zhang, Wei Hu:
RangeLDM: Fast Realistic LiDAR Point Cloud Generation. CoRR abs/2403.10094 (2024) - [i48]Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu:
CasSR: Activating Image Power for Real-World Image Super-Resolution. CoRR abs/2403.11451 (2024) - [i47]Daizong Liu, Yang Liu, Wencan Huang, Wei Hu:
A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions. CoRR abs/2406.05785 (2024) - [i46]Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu:
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. CoRR abs/2407.07403 (2024) - [i45]Yang Liu, Daizong Liu, Wei Hu:
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding. CoRR abs/2410.15615 (2024) - [i44]Daizong Liu, Yunbo Tao, Pan Zhou, Wei Hu:
Hard-Label Black-Box Attacks on 3D Point Clouds. CoRR abs/2412.00404 (2024) - [i43]Shiyu Hu, Daizong Liu, Wei Hu:
Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs. CoRR abs/2412.12626 (2024) - [i42]Bi'an Du, Wei Hu, Renjie Liao:
Multi-scale Latent Point Consistency Models for 3D Shape Generation. CoRR abs/2412.19413 (2024) - 2023
- [j18]Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu:
Deep Point Set Resampling via Gradient Fields. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2913-2930 (2023) - [j17]Daizong Liu, Wei Hu:
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4727-4746 (2023) - [j16]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. IEEE Trans. Knowl. Data Eng. 35(4): 4202-4215 (2023) - [j15]Daizong Liu, Xiang Fang, Wei Hu, Pan Zhou:
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding. IEEE Trans. Multim. 25: 8539-8553 (2023) - [c53]Ruiguo Yang, Xinhui Han, Wenfa Qi, Wei Hu:
Robust Watermark Imaging via Graph-signal Optimization. APSIPA ASC 2023: 1451-1457 - [c52]Qianjiang Hu, Daizong Liu, Wei Hu:
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CVPR 2023: 17556-17566 - [c51]Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu:
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. ICCV 2023: 14294-14304 - [c50]Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu:
Robust Graph-Based Segmentation of Noisy Point Clouds. ICIP 2023: 3090-3094 - [c49]Wencan Huang, Daizong Liu, Wei Hu:
Dense Object Grounding in 3D Scenes. ACM Multimedia 2023: 5017-5026 - [i41]Qianjiang Hu, Daizong Liu, Wei Hu:
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CoRR abs/2304.09446 (2023) - [i40]Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu:
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. CoRR abs/2308.07546 (2023) - [i39]Wencan Huang, Daizong Liu, Wei Hu:
Dense Object Grounding in 3D Scenes. CoRR abs/2309.02224 (2023) - 2022
- [j14]Cheng Yang, Gene Cheung, Wei Hu:
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7219-7234 (2022) - [j13]Wenfa Qi, Sirui Guo, Wei Hu:
Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding. IEEE Trans. Image Process. 31: 691-705 (2022) - [j12]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) - [c48]Daizong Liu, Wei Hu:
Rethinking Graph Neural Networks for Unsupervised Video Object Segmentation. BMVC 2022: 76 - [c47]Daizong Liu, Wei Hu:
Learning to Focus on the Foreground for Temporal Sentence Grounding. COLING 2022: 5532-5541 - [c46]Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. ECCV (3) 2022: 229-248 - [c45]Daizong Liu, Xiaoye Qu, Wei Hu:
Reducing the Vision and Language Bias for Temporal Sentence Grounding. ACM Multimedia 2022: 4092-4101 - [c44]Daizong Liu, Wei Hu:
Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization. ACM Multimedia 2022: 4536-4545 - [i38]Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. CoRR abs/2202.07261 (2022) - [i37]Daizong Liu, Xiang Fang, Wei Hu, Pan Zhou:
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding. CoRR abs/2203.02966 (2022) - [i36]Shentong Mo, Daizong Liu, Wei Hu:
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. CoRR abs/2203.03838 (2022) - [i35]Zhimin Zhang, Zheng Wang, Wei Hu:
Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clustering. CoRR abs/2204.04621 (2022) - [i34]Qianjiang Hu, Wei Hu:
Dynamic Point Cloud Denoising via Gradient Fields. CoRR abs/2204.08755 (2022) - [i33]Daizong Liu, Wei Hu, Xin Li:
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. CoRR abs/2207.13326 (2022) - [i32]Daizong Liu, Wei Hu:
Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization. CoRR abs/2207.13450 (2022) - [i31]Daizong Liu, Xiaoye Qu, Wei Hu:
Reducing the Vision and Language Bias for Temporal Sentence Grounding. CoRR abs/2207.13457 (2022) - [i30]Xiang Gao, Wei Hu, Renjie Liao:
Learning Latent Part-Whole Hierarchies for Point Clouds. CoRR abs/2211.07082 (2022) - 2021
- [j11]Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao:
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1968-1982 (2021) - [j10]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. IEEE Trans. Image Process. 30: 6168-6183 (2021) - [j9]Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei:
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing. IEEE Trans. Image Process. 30: 8236-8250 (2021) - [j8]Zeqing Fu, Wei Hu:
Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning. IEEE Trans. Multim. 23: 3022-3034 (2021) - [c43]Yiming He, Wei Hu:
3D Hand Pose Estimation via Regularized Graph Representation Learning. CICAI 2021: 540-552 - [c42]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. CVPR 2021: 1074-1083 - [c41]Shitong Luo, Wei Hu:
Diffusion Probabilistic Models for 3D Point Cloud Generation. CVPR 2021: 2837-2845 - [c40]Jiaxiang Tang, Xiang Gao, Wei Hu:
RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs. ICASSP 2021: 2940-2944 - [c39]Shitong Luo, Wei Hu:
Score-Based Point Cloud Denoising. ICCV 2021: 4563-4572 - [c38]Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu:
Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. ICCVW 2021: 893-903 - [c37]Wenquan Xu, Haoyu Song, Linyang Hou, Hui Zheng, Xinggong Zhang, Chuwen Zhang, Wei Hu, Yi Wang, Bin Liu:
SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving. INFOCOM 2021: 1-10 - [c36]Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. ACM Multimedia 2021: 3133-3142 - [i29]Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei:
Adaptive Graph Representation Learning and Reasoning for Face Parsing. CoRR abs/2101.07034 (2021) - [i28]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. CoRR abs/2103.00787 (2021) - [i27]Shitong Luo, Wei Hu:
Diffusion Probabilistic Models for 3D Point Cloud Generation. CoRR abs/2103.01458 (2021) - [i26]Wenfa Qi, Wei Hu, Sirui Guo, Zongming Guo, Xiang Wang:
Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding. CoRR abs/2105.08350 (2021) - [i25]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. CoRR abs/2105.11689 (2021) - [i24]Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. CoRR abs/2107.01886 (2021) - [i23]Shitong Luo, Wei Hu:
Score-Based Point Cloud Denoising. CoRR abs/2107.10981 (2021) - [i22]Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu:
Deep Point Set Resampling via Gradient Fields. CoRR abs/2111.02045 (2021) - [i21]Daizong Liu, Wei Hu:
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. CoRR abs/2111.10990 (2021) - 2020
- [j7]Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo:
Feature Graph Learning for 3D Point Cloud Denoising. IEEE Trans. Signal Process. 68: 2841-2856 (2020) - [c35]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. CVPR 2020: 7161-7170 - [c34]Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei:
Edge-Aware Graph Representation Learning and Reasoning for Face Parsing. ECCV (12) 2020: 258-274 - [c33]Cheng Yang, Gene Cheung, Wei Hu:
Graph Metric Learning via Gershgorin Disc Alignment. ICASSP 2020: 5530-5534 - [c32]Zeqing Fu, Wei Hu, Zongming Guo:
3d Dynamic Point Cloud Inpainting Via Temporal Consistency On Graphs. ICME 2020: 1-6 - [c31]Xiang Gao, Wei Hu, Zongming Guo:
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification. ICME 2020: 1-6 - [c30]Gusi Te, Wei Hu, Zongming Guo:
Exploring Hypergraph Representation On Face Anti-Spoofing Beyond 2d Attacks. ICME 2020: 1-6 - [c29]Shitong Luo, Wei Hu:
Differentiable Manifold Reconstruction for Point Cloud Denoising. ACM Multimedia 2020: 1330-1338 - [c28]Xin Wang, Bo Wu, Yueqi Zhong, Wei Hu, Jan Zahálka:
Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. ACM Multimedia 2020: 4439-4443 - [i20]Cheng Yang, Gene Cheung, Wei Hu:
Fast Graph Metric Learning via Gershgorin Disc Alignment. CoRR abs/2001.10485 (2020) - [i19]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. CoRR abs/2003.08355 (2020) - [i18]Cheng Yang, Gene Cheung, Wei Hu:
Signed Graph Metric Learning via Gershgorin Disc Alignment. CoRR abs/2006.08816 (2020) - [i17]Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei:
Edge-aware Graph Representation Learning and Reasoning for Face Parsing. CoRR abs/2007.11240 (2020) - [i16]Shitong Luo, Wei Hu:
Differentiable Manifold Reconstruction for Point Cloud Denoising. CoRR abs/2007.13551 (2020) - [i15]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) - [i14]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR abs/2011.08435 (2020)
2010 – 2019
- 2019
- [j6]Wei Hu, Zeqing Fu, Zongming Guo:
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. IEEE Trans. Image Process. 28(8): 4087-4100 (2019) - [c27]Ju He, Zeqing Fu, Wei Hu, Zongming Guo:
Point Cloud Attribute Inpainting in Graph Spectral Domain. ICIP 2019: 4385-4389 - [c26]Junkun Qi, Wei Hu, Zongming Guo:
Feature Preserving and Uniformity-Controllable Point Cloud Simplification on Graph. ICME 2019: 284-289 - [c25]Weihong Lin, Xinggong Zhang, Zongming Guo, Wei Hu:
OPV: Bias Correction Based Optimal Probabilistic Viewport-Adaptive Streaming for 360-Degree Video. ICME Workshops 2019: 384-389 - [c24]Xiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, Zongming Guo:
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression. ACM Multimedia 2019: 601-610 - [c23]Ziling Huang, Zheng Wang, Wei Hu, Chia-Wen Lin, Shin'ichi Satoh:
DoT-GNN: Domain-Transferred Graph Neural Network for Group Re-identification. ACM Multimedia 2019: 1888-1896 - [i13]Xiang Gao, Wei Hu, Zongming Guo:
Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. CoRR abs/1904.10146 (2019) - [i12]Zeqing Fu, Wei Hu, Zongming Guo:
Graph-based Inpainting for 3D Dynamic Point Clouds. CoRR abs/1904.10795 (2019) - [i11]Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo:
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. CoRR abs/1904.12284 (2019) - [i10]Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo:
Feature Graph Learning for 3D Point Cloud Denoising. CoRR abs/1907.09138 (2019) - [i9]Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Zongming Guo, Wen Gao:
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds. CoRR abs/1908.01970 (2019) - [i8]Jiaxiang Tang, Wei Hu, Xiang Gao, Zongming Guo:
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. CoRR abs/1909.04931 (2019) - [i7]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. CoRR abs/1911.08142 (2019) - [i6]Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo:
GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. CoRR abs/1912.01875 (2019) - 2018
- [j5]Wei Hu, Mozhdeh Seifi, Erik Reinhard:
Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 52:1-52:21 (2018) - [c22]Xianz Gao, Wei Hu, Zongming Guo:
Graph-Based Point Cloud Denoising. BigMM 2018: 1-6 - [c21]Yiqun Xu, Wei Hu, Shanshe Wang, Xinfeng Zhang, Shiqi Wang, Siwei Ma, Wen Gao:
Cluster-Based Point Cloud Coding with Normal Weighted Graph Fourier Transform. ICASSP 2018: 1753-1757 - [c20]Weihang Liao, Gene Cheung, Wei Hu:
Path Coding on Geometric Planar Graph for 2D / 3D Visual Data Partitioning. ICIP 2018: 116-120 - [c19]Zeqing Fu, Wei Hu, Zongming Guo:
Point Cloud Inpainting on Graphs from Non-Local Self-Similarity. ICIP 2018: 2137-2141 - [c18]Gusi Te, Wei Hu, Amin Zheng, Zongming Guo:
RGCNN: Regularized Graph CNN for Point Cloud Segmentation. ACM Multimedia 2018: 746-754 - [i5]Gusi Te, Wei Hu, Zongming Guo, Amin Zheng:
RGCNN: Regularized Graph CNN for Point Cloud Segmentation. CoRR abs/1806.02952 (2018) - [i4]Zeqing Fu, Wei Hu, Zongming Guo:
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting. CoRR abs/1810.03973 (2018) - [i3]Wei Hu, Gusi Te, Ju He, Dong Chen, Zongming Guo:
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks. CoRR abs/1811.11594 (2018) - [i2]Xiang Gao, Wei Hu, Jiaxiang Tang, Pan Pan, Jiaying Liu, Zongming Guo:
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1811.12013 (2018) - [i1]Junkun Qi, Wei Hu, Zongming Guo:
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph. CoRR abs/1812.11383 (2018) - 2017
- [c17]Wei Hu, Mozhdeh Seifi, Erik Reinhard:
Optical center estimation for lenslet-based plenoptic cameras. MMSP 2017: 1-6 - 2016
- [j4]Wei Hu, Gene Cheung, Masato Kazui:
Graph-based Dequantization of Block-Compressed Piecewise Smooth Images. IEEE Signal Process. Lett. 23(2): 242-246 (2016) - 2015
- [j3]Wei Hu, Gene Cheung, Antonio Ortega:
Intra-Prediction and Generalized Graph Fourier Transform for Image Coding. IEEE Signal Process. Lett. 22(11): 1913-1917 (2015) - [j2]Wei Hu, Gene Cheung, Antonio Ortega, Oscar C. Au:
Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images. IEEE Trans. Image Process. 24(1): 419-433 (2015) - [c16]Yung Hsuan Chao, Antonio Ortega, Wei Hu, Gene Cheung:
Edge-adaptive depth map coding with lifting transform on graphs. PCS 2015: 60-64 - 2014
- [j1]Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu:
Seamless View Synthesis Through Texture Optimization. IEEE Trans. Image Process. 23(1): 342-355 (2014) - [c15]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 - [c14]Rui Ma, Oscar C. Au, Pengfei Wan, Lingfeng Xu, Wenxiu Sun, Wei Hu:
Improved temporal psychovisual modulation for backward-compatible stereoscopic display. GlobalSIP 2014: 1034-1038 - [c13]Wei Dai, Oscar C. Au, Wenjing Zhu, Pengfei Wan, Wei Hu, Jiantao Zhou:
SSIM-based rate-distortion optimization in H.264. ICASSP 2014: 7343-7347 - [c12]Wei Hu, Gene Cheung, Xin Li, Oscar C. Au:
Graph-based joint denoising and super-resolution of generalized piecewise smooth images. ICIP 2014: 2056-2060 - 2013
- [c11]Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Jiali Li, Wei Hu, Rui Ma:
Ray-space based camera spacing correction via convex optimization. ICASSP 2013: 1845-1848 - [c10]Chao Pang, Oscar C. Au, Feng Zou, Xingyu Zhang, Wei Hu, Pengfei Wan:
Optimal dependent bit allocation for AVS intra-frame coding via successive convex approximation. ICIP 2013: 1520-1523 - [c9]Wei Dai, Oscar C. Au, Wenjing Zhu, Wei Hu, Pengfei Wan, Jiali Li:
A robust interpolation-free approach for sub-pixel accuracy motion estimation. ICIP 2013: 1767-1771 - [c8]Ruobing Zou, Oscar C. Au, Guyue Zhou, Wei Dai, Wei Hu, Pengfei Wan:
Personal photo album compression and management. ISCAS 2013: 1428-1431 - [c7]Yujun Li, Oscar C. Au, Lingfeng Xu, Wenxiu Sun, Wei Hu:
Inferring Depth from a Pair of Images Captured Using Different Aperture Settings. MMM (2) 2013: 187-193 - [c6]Wei Hu, Xin Li, Gene Cheung, Oscar C. Au:
Depth map denoising using graph-based transform and group sparsity. MMSP 2013: 1-6 - 2012
- [c5]Wei Hu, Gene Cheung, Xin Li, Oscar C. Au:
Depth map compression using multi-resolution graph-based transform for depth-image-based rendering. ICIP 2012: 1297-1300 - [c4]Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu:
Novel temporal domain hole filling based on background modeling for view synthesis. ICIP 2012: 2721-2724 - [c3]Wei Hu, Gene Cheung, Xin Li, Oscar C. Au:
Depth Map Super-Resolution Using Synthesized View Matching for Depth-Image-Based Rendering. ICME Workshops 2012: 605-610 - [c2]Wei Hu, Oscar C. Au, Lin Sun, Wenxiu Sun, Lingfeng Xu, Yujun Li:
Adaptive depth map filter for blocking artifacts removal and edge preserving. ISCAS 2012: 369-372 - [c1]Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Zhiding Yu:
Texture optimization for seamless view synthesis through energy minimization. ACM Multimedia 2012: 733-736
Coauthor Index
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last updated on 2025-01-27 21:44 CET by the dblp team
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