Wei Hu

Orcid: 0000-0002-9860-0922

Affiliations:
  • Peking University, Wangxuan Institute of Computer Technology, Beijing, China
  • Technicolor, Rennes, France (2015-2017)
  • Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (PhD 2015)


According to our database1, Wei Hu authored at least 99 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Self-supervised Multi-view Learning via Auto-encoding 3D Transformations.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Robust Geometry-Dependent Attack for 3D Point Clouds.
IEEE Trans. Multim., 2024

A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.
CoRR, 2024

A Survey on Text-guided 3D Visual Grounding: Elements, Recent Advances, and Future Directions.
CoRR, 2024

CasSR: Activating Image Power for Real-World Image Super-Resolution.
CoRR, 2024

Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing.
CoRR, 2024

Cross-Task Knowledge Transfer for Semi-supervised Joint 3D Grounding and Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancing 3D Object Grounding Beyond a Single 3D Scene.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024

RangeLDM: Fast Realistic LiDAR Point Cloud Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-Supervised Graph Representation Learning via Topology Transformations.
IEEE Trans. Knowl. Data Eng., April, 2023

Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Deep Point Set Resampling via Gradient Fields.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding.
IEEE Trans. Multim., 2023

Dense Object Grounding in 3D Scenes.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robust Graph-Based Segmentation of Noisy Point Clouds.
Proceedings of the IEEE International Conference on Image Processing, 2023

3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Watermark Imaging via Graph-signal Optimization.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications.
IEEE Trans. Multim., 2022

Generic Reversible Visible Watermarking via Regularized Graph Fourier Transform Coding.
IEEE Trans. Image Process., 2022

Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Latent Part-Whole Hierarchies for Point Clouds.
CoRR, 2022

Dynamic Point Cloud Denoising via Gradient Fields.
CoRR, 2022

Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clustering.
CoRR, 2022

Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding.
CoRR, 2022

Reducing the Vision and Language Bias for Temporal Sentence Grounding.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Focus on the Foreground for Temporal Sentence Grounding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Rethinking Graph Neural Networks for Unsupervised Video Object Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning.
IEEE Trans. Multim., 2021

AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing.
IEEE Trans. Image Process., 2021

Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance.
IEEE Trans. Image Process., 2021

Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., 2021

Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding.
CoRR, 2021

Adaptive Graph Representation Learning and Reasoning for Face Parsing.
CoRR, 2021

Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Score-Based Point Cloud Denoising.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2021

Diffusion Probabilistic Models for 3D Point Cloud Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Hand Pose Estimation via Regularized Graph Representation Learning.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Feature Graph Learning for 3D Point Cloud Denoising.
IEEE Trans. Signal Process., 2020

Signed Graph Metric Learning via Gershgorin Disc Alignment.
CoRR, 2020

3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning.
CoRR, 2020

Fast Graph Metric Learning via Gershgorin Disc Alignment.
CoRR, 2020

Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Differentiable Manifold Reconstruction for Point Cloud Denoising.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Exploring Hypergraph Representation On Face Anti-Spoofing Beyond 2d Attacks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

3d Dynamic Point Cloud Inpainting Via Temporal Consistency On Graphs.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Graph Metric Learning via Gershgorin Disc Alignment.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Edge-Aware Graph Representation Learning and Reasoning for Face Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting.
IEEE Trans. Image Process., 2019

GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs.
CoRR, 2019

Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks.
CoRR, 2019

3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling.
CoRR, 2019

Graph-based Inpainting for 3D Dynamic Point Clouds.
CoRR, 2019

Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data.
CoRR, 2019

DoT-GNN: Domain-Transferred Graph Neural Network for Group Re-identification.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Feature Preserving and Uniformity-Controllable Point Cloud Simplification on Graph.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

OPV: Bias Correction Based Optimal Probabilistic Viewport-Adaptive Streaming for 360-Degree Video.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Point Cloud Attribute Inpainting in Graph Spectral Domain.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Generalized Graph Convolutional Networks for Skeleton-based Action Recognition.
CoRR, 2018

Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks.
CoRR, 2018

RGCNN: Regularized Graph CNN for Point Cloud Segmentation.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Path Coding on Geometric Planar Graph for 2D / 3D Visual Data Partitioning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Point Cloud Inpainting on Graphs from Non-Local Self-Similarity.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Cluster-Based Point Cloud Coding with Normal Weighted Graph Fourier Transform.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph-Based Point Cloud Denoising.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Optical center estimation for lenslet-based plenoptic cameras.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016
Graph-based Dequantization of Block-Compressed Piecewise Smooth Images.
IEEE Signal Process. Lett., 2016

2015
Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images.
IEEE Trans. Image Process., 2015

Intra-Prediction and Generalized Graph Fourier Transform for Image Coding.
IEEE Signal Process. Lett., 2015

Edge-adaptive depth map coding with lifting transform on graphs.
Proceedings of the 2015 Picture Coding Symposium, 2015

2014
Seamless View Synthesis Through Texture Optimization.
IEEE Trans. Image Process., 2014

Graph-based joint denoising and super-resolution of generalized piecewise smooth images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

SSIM-based rate-distortion optimization in H.264.
Proceedings of the IEEE International Conference on Acoustics, 2014

Improved temporal psychovisual modulation for backward-compatible stereoscopic display.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Redefining self-similarity in natural images for denoising using graph signal gradient.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2013
Depth map denoising using graph-based transform and group sparsity.
Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

Inferring Depth from a Pair of Images Captured Using Different Aperture Settings.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Personal photo album compression and management.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Optimal dependent bit allocation for AVS intra-frame coding via successive convex approximation.
Proceedings of the IEEE International Conference on Image Processing, 2013

A robust interpolation-free approach for sub-pixel accuracy motion estimation.
Proceedings of the IEEE International Conference on Image Processing, 2013

Ray-space based camera spacing correction via convex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Texture optimization for seamless view synthesis through energy minimization.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Adaptive depth map filter for blocking artifacts removal and edge preserving.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Depth Map Super-Resolution Using Synthesized View Matching for Depth-Image-Based Rendering.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

Novel temporal domain hole filling based on background modeling for view synthesis.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Depth map compression using multi-resolution graph-based transform for depth-image-based rendering.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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