Xun Xu

According to our database, Xun Xu authored at least 57 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving.

Jinpeng Lin, Zhihao Liang, Shengheng Deng, Lile Cai, Tao Jiang, Tianrui Li, Kui Jia, Xun Xu

IEEE Trans. Intell. Transp. Syst., November, 2024

Deep negative correlation classification.

Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

Mach. Learn., October, 2024

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training.

Yongyi Su, Xun Xu, Tianrui Li, Kui Jia

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Revisiting pretraining for semi-supervised learning in the low-label regime.

Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo

Neurocomputing, January, 2024

Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach.

Xian Shi, Lile Cai, Ke Chen, Chuan Sheng Foo, Kui Jia, Xun Xu

World Sci. Annu. Rev. Artif. Intell., 2024

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection.

Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo

IEEE Trans. Image Process., 2024

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

CoRR, 2024

Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training.

Jinpeng Lin, Xulei Yang, Tianrui Li, Xun Xu

CoRR, 2024

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images.

Nanqing Liu, Xun Xu, Yongyi Su, Haojie Zhang, Heng-Chao Li

CoRR, 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

CoRR, 2024

A Timely Survey on Vision Transformer for Deepfake Detection.

Zhikan Wang, Zhongyao Cheng, Jiajie Xiong, Xun Xu, Tianrui Li, Bharadwaj Veeravalli, Xulei Yang

CoRR, 2024

Semi-supervised object detection with uncurated unlabeled data for remote sensing images.

Nanqing Liu, Xun Xu, Yingjie Gao, Yitao Zhao, Heng-Chao Li

Int. J. Appl. Earth Obs. Geoinformation, 2024

Clip-Guided Source-Free Object Detection in Aerial Images.

Nanqing Liu, Xun Xu, Yongyi Su, Chengxin Liu, Peiliang Gong, Heng-Chao Li

Proceedings of the IGARSS 2024, 2024

Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation.

Haojie Zhang, Yongyi Su, Xun Xu, Kui Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization.

Yongyi Su, Xun Xu, Kui Jia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning.

Yongyi Su, Xun Xu, Kui Jia

IEEE Trans. Circuits Syst. Video Technol., December, 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

Mach. Learn., July, 2023

Transformation-Invariant Network for Few-Shot Object Detection in Remote-Sensing Images.

Nanqing Liu, Xun Xu, Turgay Çelik, Zongxin Gan, Heng-Chao Li

IEEE Trans. Geosci. Remote. Sens., 2023

STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization.

Yijin Chen, Xun Xu, Yongyi Su, Kui Jia

CoRR, 2023

On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion.

Yushu Li, Xun Xu, Yongyi Su, Kui Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On Adversarial Robustness of Audio Classifiers.

Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.

Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo

IEEE Trans. Image Process., 2022

MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection.

Zeyu Jiang, Xun Xu, Le Zhang, Chao Zhang, Chuan Sheng Foo, Ce Zhu

IEEE Trans. Image Process., 2022

Learning Clustering for Motion Segmentation.

Xun Xu, Le Zhang, Loong-Fah Cheong, Zhuwen Li, Ce Zhu

IEEE Trans. Circuits Syst. Video Technol., 2022

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.

Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo

CoRR, 2022

Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving.

Zhihao Liang, Xun Xu, Shengheng Deng, Lile Cai, Tao Jiang, Kui Jia

CoRR, 2022

Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime.

Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo

CoRR, 2022

Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering.

Yongyi Su, Xun Xu, Kui Jia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding.

Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Exploring Active Learning for Semiconductor Defect Segmentation.

Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Exploring Spatial Diversity for Region-Based Active Learning.

Lile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo

IEEE Trans. Image Process., 2021

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models.

Xun Xu, Loong-Fah Cheong, Zhuwen Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach.

Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia

CoRR, 2021

ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity.

Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo

Proceedings of the 9th International Conference on Learning Representations, 2021

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding.

Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs.

Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On Automatic Data Augmentation for 3D Point Cloud Classification.

Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Category-level Shape Saliency via Deep Implicit Surface Networks.

Chaozheng Wu, Lin Sun, Xun Xu, Kui Jia

CoRR, 2020

MultiANet: a Multi-Attention Network for Defocus Blur Detection.

Zeyu Jiang, Xun Xu, Chao Zhang, Ce Zhu

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

2019

Revisiting image ordinal estimation: how to deal with ordinal relationship in deep learning?

Chao Zhang, Ce Zhu, Xun Xu

J. Electronic Imaging, 2019

Zero-Shot Crowd Behavior Recognition.

Xun Xu, Shaogang Gong, Timothy M. Hospedales

CoRR, 2019

Learning for Multi-Type Subspace Clustering.

Xun Xu, Loong-Fah Cheong, Zhuwen Li

CoRR, 2019

Learning for Multi-Model and Multi-Type Fitting.

Xun Xu, Loong-Fah Cheong, Zhuwen Li

CoRR, 2019

C3AE: Exploring the Limits of Compact Model for Age Estimation.

Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Visual aesthetic understanding: Sample-specific aesthetic classification and deep activation map visualization.

Chao Zhang, Ce Zhu, Xun Xu, Yipeng Liu, Jimin Xiao, Tammam Tillo

Signal Process. Image Commun., 2018

Image Ordinal Classification and Understanding: Grid Dropout with Masking Label.

Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu, Yipeng Liu

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Motion Segmentation by Exploiting Complementary Geometric Models.

Xun Xu, Loong Fah Cheong, Zhuwen Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robust Video Background Identification by Dominant Rigid Motion Estimation.

Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

IEEE Trans. Circuits Syst. Video Technol., 2017

Transductive Zero-Shot Action Recognition by Word-Vector Embedding.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

Int. J. Comput. Vis., 2017

Zero-Shot Crowd Behavior Recognition.

Xun Xu, Shaogang Gong, Timothy M. Hospedales

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

Semantic spaces for video analysis of behaviour.

Xun Xu

PhD thesis, 2016

Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Zero-Shot Action Recognition by Word-Vector Embedding.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

CoRR, 2015

Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

CoRR, 2015

Semantic embedding space for zero-shot action recognition.

Xun Xu, Timothy M. Hospedales, Shaogang Gong

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013

Cross-domain traffic scene understanding by motion model transfer.

Xun Xu, Shaogang Gong, Timothy M. Hospedales

Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, 2013