Xiaogang Wang

Orcid: 0000-0002-8402-7504

Affiliations:
  • Southwest University, College of Computer and Information Science, Chongqing, China
  • Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, China (PhD 2020)


According to our database1, Xiaogang Wang authored at least 27 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Demystify Transformers & Convolutions in Modern Image Deep Networks.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Learning 3D Volume Cloud from Single Image.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2024
Weak Augmentation Guided Relational Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

TCFormer: Visual Recognition via Token Clustering Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Parametric Primitive Analysis of CAD Sketches With Vision Transformer.
IEEE Trans. Ind. Informatics, October, 2024

RNNPose: 6-DoF Object Pose Estimation via Recurrent Correspondence Field Estimation and Pose Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

Learning to Transfer Heterogeneous Translucent Materials from a 2D Image to 3D Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

High-Order Differential Regularizing Implicit Surface Representation of Point Cloud.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ZoomNAS: Searching for Whole-Body Human Pose Estimation in the Wild.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Edge Preserving Implicit Surface Representation of Point Clouds.
CoRR, 2023

PPI-NET: End-to-End Parametric Primitive Inference.
Proceedings of the Advances in Computer Graphics, 2023

Finernet: A Coarse-to-Fine Approach to Learning High-Quality Implicit Surface Reconstruction.
Proceedings of the Advances in Computer Graphics, 2023

Med-DualNet: Enhancing Medical Image Segmentation with Hard-Patch Mining and Joint Error Adjustment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Pose for Everything: Towards Category-Agnostic Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Video Matting via Sparse and Low-Rank Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

PIE-NET: Parametric Inference of Point Cloud Edges.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Learning semantic abstraction of shape via 3D region of interest.
Graph. Model., 2019

Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficiently consistent affinity propagation for 3D shapes co-segmentation.
Vis. Comput., 2018

Learning to group and label fine-grained shape components.
ACM Trans. Graph., 2018

Single Image Dehazing Using Ranking Convolutional Neural Network.
IEEE Trans. Multim., 2018

2016
6-DOF Image Localization From Massive Geo-Tagged Reference Images.
IEEE Trans. Multim., 2016

2015
Cuboids detection in RGB-D images via Maximum Weighted Clique.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Video Matting via Sparse and Low-Rank Representation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Fast Estimation of Relative Poses for 6-DOF Image Localization.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015


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