Xiang Gu
13 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
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Keywords
domain adaptation
(4)
contrastive learning
(4)
optimal transport
(3)
domain generalization
(2)
adversarial defense
(2)
knowledge distillation
(2)
score-based diffusion model
(2)
3d point cloud
(2)
distribution alignment
(2)
adversarial robustness
(1)
prototype learning
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
attention mechanism
(1)
style transfer
(1)
adversarial training
(1)
adversarial learning
(1)
image translation
(1)
image editing
(1)
multimodal learning
(1)
Papers
Multimodal Robust Prompt Distillation for 3D Point Cloud Models
AAAI 2026
Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation
ICCV 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation
ICCV 2025
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
ICML 2024
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
ICCV 2023
Prototypical Partial Optimal Transport for Universal Domain Adaptation
AAAI 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Model
NIPS 2023
Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
NIPS 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
AAAI 2023
Learning Generalizable Part-based Feature Representation for 3D Point Clouds
NIPS 2022
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
NIPS 2022
Adversarial Reweighting for Partial Domain Adaptation
NIPS 2021
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
CVPR 2020