Xiang Gao

33 papers A* 7A 1B 1Misc 2Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Latent Part-Whole Hierarchies for Point Clouds.
Int. J. Comput. Vis.
Xiang Gao, Wei Hu, Renjie Liao
2025 A* conf
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model.
CVPR
Xiang Gao, Shuai Yang, Jiaying Liu
2025 J jnl
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model.
CoRR
Xiang Gao, Shuai Yang, Jiaying Liu
2024 A* conf
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation.
ACM Multimedia
Xiang Gao, Jiaying Liu
2024 J jnl
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation.
CoRR
Xiang Gao, Jiaying Liu
2024 A* conf
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation.
AAAI
Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu
2024 J jnl
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation.
CoRR
Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu
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 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 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 B conf
Robust Graph-Based Segmentation of Noisy Point Clouds.
ICIP
Pufan Li, Xiang Gao, Qianjiang Hu, 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
Learning Latent Part-Whole Hierarchies for Point Clouds.
CoRR
Xiang Gao, Wei Hu, Renjie Liao
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 Misc conf
RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs.
ICASSP
Jiaxiang Tang, Xiang Gao, 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
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification.
ICME
Xiang Gao, Wei Hu, Zongming Guo
2020 J jnl
Feature Graph Learning for 3D Point Cloud Denoising.
IEEE Trans. Signal Process.
Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo
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
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 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 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 A* conf
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression.
ACM Multimedia
Xiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, 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