← Authors

Xun Xu

18 papers · 2018–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (47) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (7) 🧬 Topic Evolution πŸ’Ž Century Club (16) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (74)

Conferences

CVPR (6) ICCV (4) ICLR (4) AAAI (3) NIPS (1)

Top co-authors

Yongyi Su (8) Kui Jia (7) Xulei Yang (6) Yushu Li (4) Chuan-Sheng Foo (3) Adam Goodge (2) Shijie Li (2) Lile Cai (2) Fei Teng (1) Chao Zhang (1)

Keywords

semantic segmentation (4) domain adaptation (3) distribution shift (2) foundation model (2) weakly supervised learning (2) point cloud (2) out-of-distribution detection (2) state space model (2) test-time training (2) 3d point cloud (2) domain generalization (2) autonomous driving (1) robotic manipulation (1) batch normalization (1) feature learning (1) 3d reconstruction (1) anomaly detection (1) test-time adaptation (1) semi-supervised learning (1) 3d vision (1)

Papers

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization AAAI 2026
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation ICCV 2025
Global-Aware Monocular Semantic Scene Completion with State Space Models ICCV 2025
Future-Aware Interaction Network For Motion Forecasting ICCV 2025
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching ICLR 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning ICLR 2025
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model ICLR 2025
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion ICCV 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NIPS 2022
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding CVPR 2021
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity ICLR 2021
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs CVPR 2021
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020
C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019
Motion Segmentation by Exploiting Complementary Geometric Models CVPR 2018