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ORCIDXun Xu 0002
Person information
- affiliation: South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- affiliation: A-STAR, Institute for Infocomm Research, I2R, Singapore
- affiliation (PhD 2016): Queen Mary University of London, UK
Other persons with the same name
- Xun Xu — disambiguation page
- Xun Xu 0001
![[0000-0001-6294-8153]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6294-8153")
(aka: Xun William Xu) — University of Auckland, Department of Mechanical Engineering, New Zealand - Xun Xu 0003 — University of Illinois, Beckman Institute, Urbana-Champaign, IL, USA
- Xun Xu 0004 — California State University, College of Business Administration and Public Policy, Department of Information Systems and Operations Management, Carson, CA, USA
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2020 – today
- 2025
[j21]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Correction to: Deep negative correlation classification. Mach. Learn. 114(2): 28 (2025)- [j20]Nanqing Liu, Xun Xu, Yongyi Su, Haojie Zhang, Heng-Chao Li:
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - 2024
- [j19]Nanqing Liu, Xun Xu, Yingjie Gao, Yitao Zhao, Heng-Chao Li:
Semi-supervised object detection with uncurated unlabeled data for remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 129: 103814 (2024) - [j18]Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting pretraining for semi-supervised learning in the low-label regime. Neurocomputing 565: 126971 (2024) - [j17]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep negative correlation classification. Mach. Learn. 113(10): 7223-7241 (2024) - [j16]Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5524-5540 (2024) - [j15]Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo:
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection. IEEE Trans. Image Process. 33: 2090-2103 (2024) - [j14]Jinpeng Lin, Zhihao Liang, Shengheng Deng, Lile Cai, Tao Jiang, Tianrui Li, Kui Jia, Xun Xu:
Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(11): 15454-15466 (2024) - [j13]Xian Shi, Lile Cai, Ke Chen, Chuan Sheng Foo, Kui Jia, Xun Xu:
Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach. World Sci. Annu. Rev. Artif. Intell. 2: 2440006:1-2440006:29 (2024) - [c20]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. AAAI 2024: 15126-15135 - [c19]Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia:
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CVPR 2024: 23385-23395 - [c18]Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li:
Clip-Guided Source-Free Object Detection in Aerial Images. IGARSS 2024: 7964-7967 - [i38]Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li:
CLIP-guided Source-free Object Detection in Aerial Images. CoRR abs/2401.05168 (2024) - [i37]Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo:
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection. CoRR abs/2402.18998 (2024) - [i36]Zhikan Wang, Zhongyao Cheng, Jiajie Xiong, Xun Xu, Tianrui Li, Bharadwaj Veeravalli, Xulei Yang:
A Timely Survey on Vision Transformer for Deepfake Detection. CoRR abs/2405.08463 (2024) - [i35]Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu:
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection. CoRR abs/2405.18911 (2024) - [i34]Nanqing Liu, Xun Xu, Yongyi Su, Haojie Zhang, Heng-Chao Li:
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images. CoRR abs/2409.13401 (2024) - [i33]Jinpeng Lin, Xulei Yang, Tianrui Li, Xun Xu:
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training. CoRR abs/2409.14940 (2024) - [i32]Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu:
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning. CoRR abs/2410.04682 (2024) - [i31]Qiyu Wei, Xun Xu, Zeng Zeng, Xulei Yang:
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition. CoRR abs/2411.18533 (2024) - [i30]Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu:
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model. CoRR abs/2412.18303 (2024) - 2023
- [j12]Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo:
Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. 112(7): 2359-2395 (2023) - [j11]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7723-7736 (2023) - [j10]Nanqing Liu, Xun Xu, Turgay Çelik, Zongxin Gan, Heng-Chao Li:
Transformation-Invariant Network for Few-Shot Object Detection in Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c17]Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo:
On Adversarial Robustness of Audio Classifiers. ICASSP 2023: 1-5 - [c16]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. ICCV 2023: 11802-11812 - [i29]Nanqing Liu, Xun Xu, Turgay Çelik, Zongxin Gan, Heng-Chao Li:
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images. CoRR abs/2303.06817 (2023) - [i28]Yongyi Su, Xun Xu, Tianrui Li, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. CoRR abs/2303.10856 (2023) - [i27]Yijin Chen, Xun Xu, Yongyi Su, Kui Jia:
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization. CoRR abs/2303.17937 (2023) - [i26]Yushu Li, Xun Xu, Yongyi Su, Kui Jia:
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. CoRR abs/2308.09942 (2023) - [i25]Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization. CoRR abs/2309.14949 (2023) - [i24]Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia:
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation. CoRR abs/2312.03502 (2023) - 2022
- [j9]Xun Xu, Le Zhang, Loong-Fah Cheong, Zhuwen Li, Ce Zhu:
Learning Clustering for Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(3): 908-919 (2022) - [j8]Zeyu Jiang, Xun Xu, Le Zhang, Chao Zhang, Chuan Sheng Foo, Ce Zhu:
MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection. IEEE Trans. Image Process. 31: 3494-3508 (2022) - [j7]Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. IEEE Trans. Image Process. 31: 5109-5120 (2022) - [c15]Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo:
Exploring Active Learning for Semiconductor Defect Segmentation. ICIP 2022: 1796-1800 - [c14]Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia:
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. ICPR 2022: 5045-5051 - [c13]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. NeurIPS 2022 - [i23]Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia:
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. CoRR abs/2205.01006 (2022) - [i22]Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime. CoRR abs/2205.03001 (2022) - [i21]Yongyi Su, Xun Xu, Kui Jia:
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning. CoRR abs/2205.03137 (2022) - [i20]Zhihao Liang, Xun Xu, Shengheng Deng, Lile Cai, Tao Jiang, Kui Jia:
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving. CoRR abs/2205.07708 (2022) - [i19]Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. CoRR abs/2205.08706 (2022) - [i18]Yongyi Su, Xun Xu, Kui Jia:
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering. CoRR abs/2206.02721 (2022) - [i17]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep Negative Correlation Classification. CoRR abs/2212.07070 (2022) - 2021
- [j6]Xun Xu, Loong-Fah Cheong, Zhuwen Li:
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 1-16 (2021) - [j5]Lile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo:
Exploring Spatial Diversity for Region-Based Active Learning. IEEE Trans. Image Process. 30: 8702-8712 (2021) - [c12]Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. BMVC 2021: 392 - [c11]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CVPR 2021: 1778-1787 - [c10]Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo:
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. CVPR 2021: 10988-10997 - [c9]Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo:
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. ICLR 2021 - [i16]Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia:
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR abs/2101.06931 (2021) - [i15]Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia:
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CoRR abs/2103.16397 (2021) - [i14]Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan-Sheng Foo:
On Automatic Data Augmentation for 3D Point Cloud Classification. CoRR abs/2112.06029 (2021) - 2020
- [c8]Zeyu Jiang, Xun Xu, Chao Zhang, Ce Zhu:
MultiANet: a Multi-Attention Network for Defocus Blur Detection. MMSP 2020: 1-6 - [i13]Chaozheng Wu, Lin Sun, Xun Xu, Kui Jia:
Learning Category-level Shape Saliency via Deep Implicit Surface Networks. CoRR abs/2012.07290 (2020)
2010 – 2019
- 2019
- [j4]Chao Zhang, Ce Zhu, Xun Xu:
Revisiting image ordinal estimation: how to deal with ordinal relationship in deep learning? J. Electronic Imaging 28(1): 013025 (2019) - [c7]Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu:
C3AE: Exploring the Limits of Compact Model for Age Estimation. CVPR 2019: 12587-12596 - [i12]Xun Xu, Loong-Fah Cheong, Zhuwen Li:
Learning for Multi-Model and Multi-Type Fitting. CoRR abs/1901.10254 (2019) - [i11]Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu:
Robust Video Background Identification by Dominant Rigid Motion Estimation. CoRR abs/1903.02232 (2019) - [i10]Xun Xu, Loong-Fah Cheong, Zhuwen Li:
Learning for Multi-Type Subspace Clustering. CoRR abs/1904.02075 (2019) - [i9]Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu:
C3AE: Exploring the Limits of Compact Model for Age Estimation. CoRR abs/1904.05059 (2019) - [i8]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. CoRR abs/1908.05877 (2019) - [i7]Xun Xu, Loong-Fah Cheong, Zhuwen Li:
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models. CoRR abs/1908.06087 (2019) - 2018
- [j3]Chao Zhang, Ce Zhu, Xun Xu, Yipeng Liu, Jimin Xiao, Tammam Tillo:
Visual aesthetic understanding: Sample-specific aesthetic classification and deep activation map visualization. Signal Process. Image Commun. 67: 12-21 (2018) - [c6]Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu:
Robust Video Background Identification by Dominant Rigid Motion Estimation. ACCV (2) 2018: 163-178 - [c5]Xun Xu, Loong Fah Cheong, Zhuwen Li:
Motion Segmentation by Exploiting Complementary Geometric Models. CVPR 2018: 2859-2867 - [c4]Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu, Yipeng Liu:
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label. ICME 2018: 1-6 - [i6]Xun Xu, Loong-Fah Cheong, Zhuwen Li:
Motion Segmentation by Exploiting Complementary Geometric Models. CoRR abs/1804.02142 (2018) - [i5]Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu, Yipeng Liu:
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label. CoRR abs/1805.02901 (2018) - 2017
- [j2]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Transductive Zero-Shot Action Recognition by Word-Vector Embedding. Int. J. Comput. Vis. 123(3): 309-333 (2017) - [j1]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1353-1367 (2017) - [p1]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. Group and Crowd Behavior for Computer Vision 2017: 341-369 - 2016
- [b1]Xun Xu:
Semantic spaces for video analysis of behaviour. Queen Mary University of London, UK, 2016 - [c3]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. ECCV (2) 2016: 343-359 - [i4]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. CoRR abs/1611.08663 (2016) - 2015
- [c2]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic embedding space for zero-shot action recognition. ICIP 2015: 63-67 - [i3]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Semantic Embedding Space for Zero-Shot Action Recognition. CoRR abs/1502.01540 (2015) - [i2]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization. CoRR abs/1507.07458 (2015) - [i1]Xun Xu, Timothy M. Hospedales, Shaogang Gong:
Zero-Shot Action Recognition by Word-Vector Embedding. CoRR abs/1511.04458 (2015) - 2013
- [c1]Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Cross-domain traffic scene understanding by motion model transfer. ARTEMIS@ACM Multimedia 2013: 77-86
Coauthor Index
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