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Delving Deep into the Generalization of Vision Transformers under Distribution Shifts


Jun 18, 2021
Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu

* Our code is available at https://github.com/Phoenix1153/ViT_OOD_generalization 

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Multi-Pretext Attention Network for Few-shot Learning with Self-supervision


Mar 10, 2021
Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu


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Diversifying Sample Generation for Accurate Data-Free Quantization


Mar 04, 2021
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu


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Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World


Mar 01, 2021
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu


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Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images


Mar 01, 2021
Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu

* 13 pages, 7 figures 

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A Comprehensive Evaluation Framework for Deep Model Robustness


Jan 24, 2021
Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao

* 13 pages 

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Towards Overcoming False Positives in Visual Relationship Detection


Dec 24, 2020
Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li

* 13 pages, 5 figures 

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Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization


Dec 03, 2020
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

* 28 pages 

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BiPointNet: Binary Neural Network for Point Clouds


Oct 12, 2020
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su


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Patch-wise Attack for Fooling Deep Neural Network


Jul 16, 2020
Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen

* Accepted by ECCV 2020 

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Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module


May 26, 2020
Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu

* 10 pages, 7 figures; for data and code, see https://github.com/OPIXray-author/OPIXray 

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Patch Attack for Automatic Check-out


May 19, 2020
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu


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Adversarial Attacks for Embodied Agents


May 19, 2020
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

* 17 pages, 9 figures 

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Binary Neural Networks: A Survey


Mar 31, 2020
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe

* Pattern Recognition (2020) 107281 

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Stein Variational Inference for Discrete Distributions


Mar 01, 2020
Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu

* AISTATS 2020 

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Hierarchical Rule Induction Network for Abstract Visual Reasoning


Feb 17, 2020
Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai


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Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction


Feb 01, 2020
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang

* 9 pages, 5 figures 

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Towards Unified INT8 Training for Convolutional Neural Network


Dec 29, 2019
Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan


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Fast and Incremental Loop Closure Detection Using Proximity Graphs


Nov 25, 2019
Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen

* 8 pages, 6 figures, IROS 2019 

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Region-wise Generative Adversarial ImageInpainting for Large Missing Areas


Sep 27, 2019
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin Hancock

* 13 pages, 8 figures, 3 tables 

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Balanced Binary Neural Networks with Gated Residual


Sep 26, 2019
Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu


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IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks


Sep 25, 2019
Haotong Qin, Ruihao Gong, Xianglong Liu, Ziran Wei, Fengwei Yu, Jingkuan Song

* Please withdrawn this paper, required by my co-authors 

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Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization


Sep 25, 2019
Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Ynajun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang


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Training Robust Deep Neural Networks via Adversarial Noise Propagation


Sep 19, 2019
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He

* 14 pages 

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Towards Noise-Robust Neural Networks via Progressive Adversarial Training


Sep 17, 2019
Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang


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Interpreting and Improving Adversarial Robustness with Neuron Sensitivity


Sep 16, 2019
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li


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