Xu, Xun

21 publications

MLJ 2025 Correction to: Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

ICLR 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

ICLR 2025 Evidential Learning-Based Certainty Estimation for Robust Dense Feature Matching Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang

ICCV 2025 Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation Tiankai Chen, Yushu Li, Adam Goodge, Fei Teng, Xulei Yang, Tianrui Li, Xun Xu

ICCV 2025 Future-Aware Interaction Network for Motion Forecasting Shijie Li, Chunyu Liu, Xun Xu, Si Yong Yeo, Xulei Yang

ICCV 2025 Global-Aware Monocular Semantic Scene Completion with State Space Models Shijie Li, Zhongyao Cheng, Rong Li, Shuai Li, Juergen Gall, Xun Xu, Xulei Yang

ICLR 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu

ECML-PKDD 2025 SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, Xulei Yang

MLJ 2024 Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

TMLR 2024 Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu

CVPR 2024 Improving the Generalization of Segmentation Foundation Model Under Distribution Shift via Weakly Supervised Adaptation Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia

AAAI 2024 Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su, Xun Xu, Kui Jia

MLJ 2023 Diverse and Consistent Multi-View Networks for Semi-Supervised Regression Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo

ICCV 2023 On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion Yushu Li, Xun Xu, Yongyi Su, Kui Jia

NeurIPS 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su, Xun Xu, Kui Jia

CVPR 2021 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

ICLR 2021 ARMOURED: Adversarially Robust MOdels Using Unlabeled Data by REgularizing Diversity Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Krishnamachari, Yu Jing Goh, Chuan-Sheng Foo

CVPR 2021 Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo

ECCV 2016 Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation Xun Xu, Timothy M. Hospedales, Shaogang Gong

CVPR 2008 A Loopy Belief Propagation Approach for Robust Background Estimation Xun Xu, Thomas S. Huang

ICCV 2005 Face Recognition with MRC-Boosting Xun Xu, Thomas S. Huang