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Xingxing Wei
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2020 – today
- 2024
- [j28]Xingxing Wei:
Rule of law or not? A critical evaluation of legal responses to cyberterrorism in the UK. Comput. Law Secur. Rev. 53: 105951 (2024) - [j27]Xingxing Wei, Jie Yu, Yao Huang:
Infrared Adversarial Patches with Learnable Shapes and Locations in the Physical World. Int. J. Comput. Vis. 132(6): 1928-1944 (2024) - [j26]Maoxun Yuan, Xiaorong Shi, Nan Wang, Yinyan Wang, Xingxing Wei:
Improving RGB-infrared object detection with cascade alignment-guided transformer. Inf. Fusion 105: 102246 (2024) - [j25]Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Visible-Infrared Cross-Modal Attacks in the Physical World. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2348-2363 (2024) - [j24]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6367-6383 (2024) - [j23]Maoxun Yuan, Xingxing Wei:
C²Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j22]Xingxing Wei, Shiji Zhao:
Boosting Adversarial Transferability With Learnable Patch-Wise Masks. IEEE Trans. Multim. 26: 3778-3787 (2024) - [c26]Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei:
Towards Transferable Targeted 3D Adversarial Attack in the Physical World. CVPR 2024: 24512-24522 - [i50]Tianyi Zhao, Maoxun Yuan, Xingxing Wei:
Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion. CoRR abs/2401.10731 (2024) - [i49]Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei:
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. CoRR abs/2404.12139 (2024) - [i48]Maoxun Yuan, Bo Cui, Tianyi Zhao, Xingxing Wei:
UniRGB-IR: A Unified Framework for Visible-Infrared Downstream Tasks via Adapter Tuning. CoRR abs/2404.17360 (2024) - [i47]Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu:
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR abs/2406.07057 (2024) - [i46]Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xingxing Wei, Meng Wang, He Wang:
TASAR: Transferable Attack on Skeletal Action Recognition. CoRR abs/2409.02483 (2024) - [i45]Xingxing Wei, Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su:
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model. CoRR abs/2409.09406 (2024) - 2023
- [j21]Xingxing Wei, Ying Guo, Jie Yu:
Adversarial Sticker: A Stealthy Attack Method in the Physical World. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2711-2725 (2023) - [j20]Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang:
Simultaneously Optimizing Perturbations and Positions for Black-Box Adversarial Patch Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9041-9054 (2023) - [j19]Xingxing Wei, Songping Wang, Huanqian Yan:
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10898-10912 (2023) - [j18]Xingxing Wei, Maoxun Yuan:
Adversarial pan-sharpening attacks for object detection in remote sensing. Pattern Recognit. 139: 109466 (2023) - [c25]Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu:
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. CVPR 2023: 1022-1032 - [c24]Xingxing Wei, Jie Yu, Yao Huang:
Physically Adversarial Infrared Patches with Learnable Shapes and Locations. CVPR 2023: 12334-12342 - [c23]Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Cross-modal Attacks in the Physical World. ICCV 2023: 4422-4431 - [c22]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. ICCV 2023: 4686-4696 - [i44]Xingxing Wei, Songping Wang, Huanqian Yan:
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos. CoRR abs/2301.00896 (2023) - [i43]Bangzheng Pu, Xingxing Wei, Shiji Zhao, Huazhu Fu:
MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset. CoRR abs/2303.09858 (2023) - [i42]Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu:
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. CoRR abs/2303.11040 (2023) - [i41]Xingxing Wei, Jie Yu, Yao Huang:
Physically Adversarial Infrared Patches with Learnable Shapes and Locations. CoRR abs/2303.13868 (2023) - [i40]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR abs/2304.00202 (2023) - [i39]Xingxing Wei, Shiji Zhao:
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters. CoRR abs/2306.03430 (2023) - [i38]Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei:
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World. CoRR abs/2306.09124 (2023) - [i37]Xingxing Wei, Shiji Zhao:
Boosting Adversarial Transferability with Learnable Patch-wise Masks. CoRR abs/2306.15931 (2023) - [i36]Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su:
Distributional Modeling for Location-Aware Adversarial Patches. CoRR abs/2306.16131 (2023) - [i35]Shiji Zhao, Xizhe Wang, Xingxing Wei:
Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation. CoRR abs/2306.16170 (2023) - [i34]Maoxun Yuan, Xingxing Wei:
$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection. CoRR abs/2306.16175 (2023) - [i33]Maoxun Yuan, Tianyi Zhao, Bo Li, Xingxing Wei:
Learning to Pan-sharpening with Memories of Spatial Details. CoRR abs/2306.16181 (2023) - [i32]Wenting Tang, Xingxing Wei, Bo Li:
Structured Network Pruning by Measuring Filter-wise Interactions. CoRR abs/2307.00758 (2023) - [i31]Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Cross-modal Attacks in the Physical World. CoRR abs/2307.07859 (2023) - [i30]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. CoRR abs/2307.10235 (2023) - [i29]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. CoRR abs/2307.11528 (2023) - [i28]Junwen Chen, Xingxing Wei:
Defending Adversarial Patches via Joint Region Localizing and Inpainting. CoRR abs/2307.14242 (2023) - [i27]Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World. CoRR abs/2307.14682 (2023) - [i26]Lei Zhao, Bo Li, Xingxing Wei:
Classification Committee for Active Deep Object Detection. CoRR abs/2308.08476 (2023) - [i25]Shiji Zhao, Xizhe Wang, Xingxing Wei:
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation. CoRR abs/2312.05508 (2023) - [i24]Yitong Sun, Yao Huang, Xingxing Wei:
Embodied Adversarial Attack: A Dynamic Robust Physical Attack in Autonomous Driving. CoRR abs/2312.09554 (2023) - [i23]Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei:
Towards Transferable Targeted 3D Adversarial Attack in the Physical World. CoRR abs/2312.09558 (2023) - 2022
- [j17]Xingxing Wei:
A critical evaluation of China's legal responses to cyberterrorism. Comput. Law Secur. Rev. 47: 105768 (2022) - [j16]Xingxing Wei, Huanqian Yan, Bo Li:
Sparse Black-Box Video Attack with Reinforcement Learning. Int. J. Comput. Vis. 130(6): 1459-1473 (2022) - [j15]Zhenyu Du, Xingxing Wei, Weiming Zhang, Fangzheng Liu, Huanyu Bian, Jiayang Liu:
A motional but temporally consistent physical video examples. J. Inf. Secur. Appl. 69: 103278 (2022) - [j14]Huanqian Yan, Bo Li, Hong Zhang, Xingxing Wei:
An Antijamming and Lightweight Ship Detector Designed for Spaceborne Optical Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4468-4481 (2022) - [c21]Maoxun Yuan, Yinyan Wang, Xingxing Wei:
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection. ECCV (9) 2022: 509-525 - [c20]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) 2022: 567-584 - [c19]Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei:
Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation. ECCV (4) 2022: 585-602 - [c18]Yikun Xu, Xingxing Wei:
A2SC: Adversarial Attack on Subspace Clustering. ICME 2022: 1-6 - [c17]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. NeurIPS 2022 - [c16]Guoqiu Wang, Huanqian Yan, Xingxing Wei:
Enhancing Transferability of Adversarial Examples with Spatial Momentum. PRCV (1) 2022: 593-604 - [i22]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. CoRR abs/2201.08970 (2022) - [i21]Guoqiu Wang, Xingxing Wei, Huanqian Yan:
Improving Adversarial Transferability with Spatial Momentum. CoRR abs/2203.13479 (2022) - [i20]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR abs/2207.08859 (2022) - [i19]Maoxun Yuan, Yinyan Wang, Xingxing Wei:
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection. CoRR abs/2209.13801 (2022) - [i18]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. CoRR abs/2210.03895 (2022) - [i17]Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu:
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. CoRR abs/2211.01671 (2022) - [i16]Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang:
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks. CoRR abs/2212.12995 (2022) - 2021
- [j13]Xingxing Wei, Ying Guo, Bo Li:
Black-box adversarial attacks by manipulating image attributes. Inf. Sci. 550: 285-296 (2021) - [j12]Nan Wang, Bo Li, Xingxing Wei, Yonghua Wang, Huanqian Yan:
Ship Detection in Spaceborne Infrared Image Based on Lightweight CNN and Multisource Feature Cascade Decision. IEEE Trans. Geosci. Remote. Sens. 59(5): 4324-4339 (2021) - [c15]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. ICCV 2021: 7677-7687 - [c14]Maoxun Yuan, Xingxing Wei:
Generating Adversarial Remote Sensing Images via Pan-Sharpening Technique. AdvM @ ACM Multimedia 2021: 15-20 - [c13]Huanqian Yan, Xingxing Wei:
Efficient Sparse Attacks on Videos using Reinforcement Learning. ACM Multimedia 2021: 2326-2334 - [i15]Ying Guo, Xingxing Wei, Guoqiu Wang, Bo Zhang:
Meaningful Adversarial Stickers for Face Recognition in Physical World. CoRR abs/2104.06728 (2021) - [i14]Guoqiu Wang, Huanqian Yan, Ying Guo, Xingxing Wei:
Improving Adversarial Transferability with Gradient Refining. CoRR abs/2105.04834 (2021) - [i13]Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang:
An Effective and Robust Detector for Logo Detection. CoRR abs/2108.00422 (2021) - 2020
- [j11]Xiaoyang Xie, Bo Li, Xingxing Wei:
Ship Detection in Multispectral Satellite Images Under Complex Environment. Remote. Sens. 12(5): 792 (2020) - [j10]Sha Yuan, Zhou Shao, Xingxing Wei, Jie Tang, Wendy Hall, Yongli Wang, Ying Wang, Ye Wang:
Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics 124(2): 993-1013 (2020) - [c12]Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-Box Adversarial Attacks on Video Recognition Models. AAAI 2020: 12338-12345 - [c11]Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao:
Efficient Adversarial Attacks for Visual Object Tracking. ECCV (26) 2020: 34-50 - [c10]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han:
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. ACM Multimedia 2020: 1579-1587 - [c9]Yupeng Cheng, Xingxing Wei, Huazhu Fu, Shang-Wei Lin, Weisi Lin:
Defense for adversarial videos by self-adaptive JPEG compression and optical texture. MMAsia 2020: 55:1-55:7 - [i12]Huanqian Yan, Xingxing Wei, Bo Li:
Sparse Black-box Video Attack with Reinforcement Learning. CoRR abs/2001.03754 (2020) - [i11]Sha Yuan, Zhou Shao, Yu Zhang, Xingxing Wei, Tong Xiao, Yifan Wang, Jie Tang:
Attention: to Better Stand on the Shoulders of Giants. CoRR abs/2005.14256 (2020) - [i10]Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao:
Efficient Adversarial Attacks for Visual Object Tracking. CoRR abs/2008.00217 (2020) - [i9]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han:
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. CoRR abs/2008.01919 (2020) - [i8]Yusheng Zhao, Huanqian Yan, Xingxing Wei:
Object Hider: Adversarial Patch Attack Against Object Detectors. CoRR abs/2010.14974 (2020) - [i7]Wenting Tang, Xingxing Wei, Bo Li:
Automated Model Compression by Jointly Applied Pruning and Quantization. CoRR abs/2011.06231 (2020)
2010 – 2019
- 2019
- [c8]Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su:
Sparse Adversarial Perturbations for Videos. AAAI 2019: 8973-8980 - [c7]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CVPR 2019: 6084-6092 - [c6]Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao:
Transferable Adversarial Attacks for Image and Video Object Detection. IJCAI 2019: 954-960 - [i6]Sarah Gross, Xingxing Wei, Jun Zhu:
Automatic Realistic Music Video Generation from Segments of Youtube Videos. CoRR abs/1905.12245 (2019) - [i5]Xiaojun Jia, Xingxing Wei, Xiaochun Cao:
Identifying and Resisting Adversarial Videos Using Temporal Consistency. CoRR abs/1909.04837 (2019) - [i4]Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-box Adversarial Attacks on Video Recognition Models. CoRR abs/1911.09449 (2019) - 2018
- [c5]Xingxing Wei, Jun Zhu, Sitong Feng, Hang Su:
Video-to-Video Translation with Global Temporal Consistency. ACM Multimedia 2018: 18-25 - [i3]Xingxing Wei, Jun Zhu, Hang Su:
Sparse Adversarial Perturbations for Videos. CoRR abs/1803.02536 (2018) - [i2]Xingxing Wei, Siyuan Liang, Xiaochun Cao, Jun Zhu:
Transferable Adversarial Attacks for Image and Video Object Detection. CoRR abs/1811.12641 (2018) - [i1]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CoRR abs/1811.12673 (2018) - 2017
- [j9]Xuyang Wang, Xingxing Wei:
基于本体和局部共现的查询扩展方法 (Query Expansion Method Based on Ontology and Local Co-occurrence). 计算机科学 44(1): 214-218 (2017) - [j8]Xingwu Cao, Xingxing Wei, Rui Guo, Changchun Wang:
No embedding: A novel image cryptosystem for meaningful encryption. J. Vis. Commun. Image Represent. 44: 236-249 (2017) - 2016
- [j7]Xiaochun Cao, Ling Du, Xingxing Wei, Dan Meng, Xiaojie Guo:
High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation. IEEE Trans. Cybern. 46(5): 1132-1143 (2016) - 2015
- [j6]Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao:
A flexible framework of adaptive method selection for image saliency detection. Pattern Recognit. Lett. 63: 66-70 (2015) - [j5]Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao:
Structured Saliency Fusion Based on Dempster-Shafer Theory. IEEE Signal Process. Lett. 22(9): 1345-1349 (2015) - [j4]Xiaochun Cao, Xingxing Wei, Yahong Han, Xiaowu Chen:
An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues. IEEE Trans. Cybern. 45(7): 1327-1339 (2015) - [j3]Xiaochun Cao, Xingxing Wei, Yahong Han, Dongdai Lin:
Robust Face Clustering Via Tensor Decomposition. IEEE Trans. Cybern. 45(11): 2546-2557 (2015) - 2014
- [j2]Yahong Han, Xingxing Wei, Xiaochun Cao, Yi Yang, Xiaofang Zhou:
Augmenting Image Descriptions Using Structured Prediction Output. IEEE Trans. Multim. 16(6): 1665-1676 (2014) - [c4]Yupeng Cheng, Huazhu Fu, Xingxing Wei, Jiangjian Xiao, Xiaochun Cao:
Depth Enhanced Saliency Detection Method. ICIMCS 2014: 23 - [c3]Xiaochun Cao, Xingxing Wei, Xiaojie Guo, Yahong Han, Jinhui Tang:
Augmented Image Retrieval using Multi-order Object Layout with Attributes. ACM Multimedia 2014: 1093-1096 - 2013
- [j1]Xiaochun Cao, Xingxing Wei, Yahong Han, Yi Yang, Nicu Sebe, Alexander G. Hauptmann:
Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation. Comput. Vis. Image Underst. 117(8): 934-946 (2013) - [c2]Xiaochun Cao, Xingxing Wei, Yahong Han, Yi Yang, Dongdai Lin:
Robust Tensor Clustering with Non-Greedy Maximization. IJCAI 2013: 1254-1259
2000 – 2009
- 2009
- [c1]Xingxing Wei, Haibin Duan, Yanran Wang:
Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision. ISNN (3) 2009: 236-246
Coauthor Index
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