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(* denotes corresponding author)
Lei Zhang*, Yuhang Zhou, Yi Yang, and Xinbo Gao, "Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks," IEEE Transactions on Pattern Analysis and Machine Intelligence [T-PAMI], 2024. Accept. [paper] (IF: 23.6) [CCF-A]
Lei Zhang*, Zhenwei He, Yi Yang, Liang Wang, and Xinbo Gao, "Tasks Integrated Networks: Joint Detection and Retrieval for Image Search," IEEE Transactions on Pattern Analysis and Machine Intelligence [T-PAMI], vol. 44, no. 1, pp. 456-473, Jan 2022. (IF: 24.314) (CCF-A) [paper], [Github source code], [CCF-CV好文推荐] [ESI Highly Cited Paper]
Lei Zhang*, Xiaowei Fu, Fuxiang Huang, Yi Yang, and Xinbo Gao, "An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification," International Journal of Computer Vision [IJCV], 2024. Accept. (IF: 19.5) [CCF-A] [paper], [Project] (A very large person benchmark for training human-centric vision foundation models)
Zhenwei He, Lei Zhang*, Xinbo Gao, and David Zhang, "Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection," International Journal of Computer Vision [IJCV], vol. 131, pp. 680-700, 2023. (IF: 13.369) (CCF-A) [paper], [Webpage], [Project]
Lei Zhang* and Xinbo Gao, "Transfer Adaptation Learning: A Decade Survey," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 35, no. 1, pp. 23-44, Jan 2024. [paper], [Supp] (IF: 14.255) (citation: 240+) [ESI Highly Cited Paper]
何贞苇, 张治龙, 张磊*.《开放环境下的跨域物体检测综述: A Survey on Cross-domain Object Detection in Open Environment》, 计算机辅助设计与图形学学报, 2024. 已录用. [paper] [CCF-A]
Wen Zhang, Lingfei Deng, Lei Zhang, and Dongrui Wu, "A Survey on Negative Transfer," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 2, pp. 305-329, Feb 2023. [paper], [Github source code] (IF: 5.129) [ESI Highly Cited Paper] (citation: 160+)
Lei Zhang*, Lingyun Qin, Mingjun Xu, Weijie Chen, Shiliang Pu and Wensheng Zhang, "Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains," IEEE Transactions on Image Processing [T-IP], vol. 32, pp. 4868-4879, 2023. (IF: 11.041) (CCF-A) [paper], [Github source code]
Lei Zhang*, Zhipu Liu, Wensheng Zhang and David Zhang, "Style Uncertainty Based Self-Paced Meta Learning for Generalizable Person Re-Identification," IEEE Transactions on Image Processing [T-IP], vol. 32, pp. 2107-2119, 2023. (IF: 11.041) (CCF-A) [paper], [Github source code]
Fuxiang Huang, Lei Zhang*, Yuhang Zhou and Xinbo Gao, "Adversarial and Isotropic Gradient Augmentation for Image Retrieval with Text Feedback," IEEE Transactions on Multimedia [T-MM], vol. 25, pp. 7415-7427, 2023. (IF: 8.182) [paper], [Github source code]
Yuhang Zhou, Fuxiang Huang, Weijie Chen, Shiliang Pu, Lei Zhang*, "Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 33, no. 10, pp. 5894-5907, Oct 2023. (IF: 5.859) [paper], [Github source code]
Zhipu Liu, Lei Zhang*, and David Zhang, "Neural Image Parts Group Search for Person Re-identification," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 33, no. 6, pp. 2724-2737, June 2023. (IF: 5.859) [paper]
Qinghai Lang, Lei Zhang*, Wenxu Shi, Weijie Chen, and Shiliang Pu, "Exploring Implicit Domain-invariant Features for Domain Adaptive Object Detection," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 33, no. 4, pp. 1816-1826, April 2023. [paper], [Github source code] (IF: 5.859)
Wenli Song, Lei Zhang*, and Xinbo Gao, "Compound Projection Learning for Bridging Seen and Unseen Objects," IEEE Transactions on Multimedia [T-MM], vol. 25, pp. 2127-2139, Jan 2022. [paper], [Github source code], [MindSpore Project] (IF: 8.182)
Zhenwei He, Lei Zhang*, Yi Yang, and Xinbo Gao, "Partial Alignment for Object Detection in the Wild," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 32, no. 8, pp. 5238-5251, August 2022. [paper], [Github source code] (IF: 5.859)
Qingyan Duan, Lei Zhang*, and Xinbo Gao, "Simultaneous Face Completion and Frontalization via Mask Guided Two-Stage GAN," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 32, no. 6, pp. 3761-3773, June 2022. (IF: 5.859). [paper], [CCF-CV科技前言]
Qingyan Duan and Lei Zhang*, "Look More Into Occlusion: Realistic Face Frontalization and Recognition with BoostGAN," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 32, no. 1, pp. 214-228, Jan 2021. [paper], [CCF-CV科技前言] (IF: 11.683).
Fuxiang Huang, Lei Zhang*, and Xinbo Gao, "Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 33, no. 10, pp. 5641-5655, Oct 2022. (IF: 14.255) [paper], [source code]
Jingke Huang, Ni Xiao, and Lei Zhang*, "Balancing Transferability and Discriminability for Unsupervised Domain Adaptation," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 35, no. 4, pp. 5807-5814, April 2024. [paper], [Github source code], [MindSpore Project] (IF: 14.255)
Xiaowei Fu, Fuxiang Huang, Yuhang Zhou, Huimin Ma, Xin Xu, and Lei Zhang*, "Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 32, no. 10, pp. 6874-6887, Oct 2022. [paper], [Github source code], (IF: 5.859)
Shanshan Wang, Lei Zhang*, Wangmeng Zuo, and Bob Zhang, "Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains,"IEEE Transactions on Image Processing [T-IP], vol. 29, pp. 2424-2438, Nov 2019. (CCF-A). (IF: 6.79), [paper], [Github source code]
Wenli Song and Lei Zhang*, "Semantic-Visual Combination Propagation Network for Zero-shot Learning," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], vol. 69, no. 4, pp. 2341-2345, April 2022. [paper], [Github source code], [MindSpore Project](IF: 3.292)
Fushuo Huo, Xuegui Zhu, Lei Zhang*, Qifeng Liu, Yu Shu, "Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 32, no. 5, pp. 3111-3124, May 2022. (IF: 5.859) [paper], [source code] [ESI Highly Cited Paper]
Tan Guo, Baojiang Zhou, Fulin Luo, Lei Zhang and Xinbo Gao, "DMFNet: Dual-encoder Multi-stage Feature Fusion Network for Infrared Small Target Detection," IEEE Transactions on Geoscience and Remote Sensing [T-GRS], vol. 62, pp. 1-14, 2024. [paper], [Github source code] (IF: 8.125)
Tan Guo, Long He, Fulin Luo, Xiuwen Gong, Lei Zhang and Xinbo Gao, "Learnable Background Endmember with Subspace Representation for Hyperspectral Anomaly Detection," IEEE Transactions on Geoscience and Remote Sensing [T-GRS], vol. 62, pp. 1-13, 2024. (IF: 8.125) [paper], [Github source code]
Tan Guo, Ruizhi Wang, Fulin Luo, Xiuwen Gong, Lei Zhang, and Xinbo Gao, "Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing [T-GRS], vol. 61, pp. 1-13, May 2023. (IF: 8.125) [paper], [Github source code] [ESI Highly Cited Paper]
Tan Guo, Long He, Fulin Luo, Xiuwen Gong, Yuanyuan Li and Lei Zhang, "Anomaly Detection of Hyperspectral Image with Hierarchical Anti-noise Mutual-Incoherence-induced Low-Rank Representation," IEEE Transactions on Geoscience and Remote Sensing [T-GRS], vol. 61, pp. 1-13, 2023. (IF: 8.125) [paper], [Github source code]
Lei Zhang*, Ji Liu, Fuxiang Huang, Yang Yang, and David Zhang, "Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method," IEEE Transactions on Image Processing [T-IP], vol. 29, pp. 8149-8162, 2020. (IF: 9.34) (CCF-A) [paper], [source code]
Lei Zhang*, Ji Liu, Bob Zhang, David Zhang, and Ce Zhu, "Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data," IEEE Transactions on Image Processing [T-IP], vol. 29, no. 1, pp. 1016-1029, 2020. [paper], [Github source code] (IF: 6.79). (CCF-A). (A perspective that deep-layered learning does not have to be convolutional neural network with back-propagation is consolidated.)
Lei Zhang*, Wangmeng Zuo, and David Zhang, "LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation," IEEE Transactions on Image Processing [T-IP], vol. 25, no. 3, pp. 1177-1191, 2016. (CCF-A). [paper], [source code] (IF: 6.79) [ESI Highly Cited Paper] (citation: 200+)
Lei Zhang*, Fangyi Liu, and David Zhang, "Adversarial View Confusion Feature Learning for Person Re-identification," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 31, no. 4, pp. 1490-1502, April 2021. [paper], [Source code] (IF: 4.046)
Lei Zhang*, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, and David Zhang, "Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 30, no. 12, pp. 3759-3773, 2019. (IF: 11.683) [paper], [Github source code], (A new criterion for measuring domain discrepancy instead of MMD is proposed for cross-domain image classification) (citation: 100+)
Lei Zhang* and David Zhang, "Robust Visual Knowledge Transfer via Extreme Learning Machine based Domain Adaptation," IEEE Transactions on Image Processing [T-IP], vol. 25, no. 10, pp. 4959-4973, 2016. (CCF-A). [paper],[source code], [supp](IF: 6.79) [ESI Highly Cited Paper] (citation: 150+)
Lei Zhang*, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, and David Zhang, "Optimal Projection Guided Transfer Hashing for Image Retrieval," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 30, no. 10, pp. 3788-3802, Oct 2020. (IF: 4.046), [paper], [Github source code]
Lei Zhang*, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang, "AdvKin: Adversarial Convolutional Network for Kinship Verification," IEEE Transactions on Cybernetics [T-CYB], vol. 51, no. 12, pp. 5883-5896, Dec 2021. (IF: 10.387). [paper], [Github source code]
Lei Zhang*, Jingru Fu, Shanshan Wang, David Zhang, ZhaoYang Dong, and C.L. Philip Chen, "Guide Subspace Learning for Unsupervised Domain Adaptation," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 31, no. 9, pp. 3374-3388, Sep 2020. (IF: 11.683), [paper], [Github source code] (citation: 100+)
Jingru Fu and Lei Zhang*, "Reliable Domain Adaptation with Classifiers Competition for Image Classification," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], vol. 67, no. 11, pp. 2802-2806, 2020. [Github source code] (IF: 3.25)
Lei Zhang*, Xuehan Wang, Guang-bin Huang, Tao Liu, and Xiaoheng Tan, "Taste Recognition in E-Tongue using Local Discriminant Preservation Projection," IEEE Transactions on Cybernetics [T-CYB], vol. 49, no. 3, pp. 947-960, Mar 2019. (IF: 10.387). [paper], [Data and Code are available here]
Shanshan Wang and Lei Zhang*, "Regularized Deep Transfer Learning: When CNN Meets kNN," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], vol. 67, no. 10, pp. 2269-2273, Oct 2020. Accept. (IF: 3.25), [paper]
Lei Zhang* and David Zhang, "Visual Understanding via Multi-Feature Shared Learning with Global Consistency," IEEE Transactions on Multimedia [T-MM], vol. 18, no. 2, pp. 247-259, 2016. [paper], [source code] (IF: 5.452)
Lei Zhang* and David Zhang, "Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems," IEEE Transactions on Instrumentation and Measurement [T-IM], vol. 64, no. 7, pp. 1790-1801, July 2015. [paper], [source code 1], [source code 2] (IF: 2.456) [ESI Highly Cited Paper] (citation: 300+)
Lei Zhang* and Fengchun Tian, "Performance Study of Multilayer Perceptrons in Low-Cost Electronic Nose,"IEEE Transactions on Instrumentation and Measurement [T-IM], vol.63, pp. 1670-1679, 2014. [paper], (IF: 3.067) (citation: 130+)
Lei Zhang* and Pingling Deng, "Abnormal Odor Detection in Electronic Nose via Self-expression Inspired Extreme Learning Machine," IEEE Transactions on Systems, Man, and Cybernetics: Systems [T-SMCA], vol. 49, no. 10, pp. 1922-1932, 2019. [link], [paper], [source code] (IF: 7.351) [ESI Highly Cited Paper]
Lei Zhang* and David Zhang, "Evolutionary Cost-sensitive Extreme Learning Machine," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 28, no. 12, pp. 3045-3060, 2017. [paper], [source code]. to appear. [link] (IF: 11.683) [ESI Highly Cited Paper] (citation: 170+)
Lei Zhang* and David Zhang, "Efficient Solutions for Discreteness, Drift, and Disturbance (3D) in Electronic Olfaction," IEEE Transactions on Systems, Man, and Cybernetics: Part A [T-SMCA], vol. 48, no. 2, pp. 242-254, 2018. doi: 10.1109/TSMC.2016.2597800. [paper], [source code] (IF: 7.351)
Lei Zhang*, Yan Liu and Pingling Deng, "Odor Recognition in Multiple E-nose Systems with Cross-domain Discriminative Subspace Learning," IEEE Transactions on Instrumentation and Measurement [T-IM], vol. 66, no. 7, pp. 1679-1692, July 2017. [paper], [source code]. (IF: 3.067)
Lei Zhang* and David Zhang, "Evolutionary Cost-sensitive Discriminative Learning with Application to Vision and Olfaction," IEEE Transactions on Instrumentation and Measurement [T-IM], vol. 66, no. 2, pp. 198-211, 2017. [paper]. (IF: 3.067)
Xichuan Zhou, Shengli Li, Fang Tang, Shengdong Hu, Zhi Lin, and Lei Zhang, "DANoC: An Efficient Algorithm and Hardware Co-design of Deep Neural Networks on Chip," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 29, no. 7, pp. 3176-3187, 2018. [paper] (IF: 11.683)
Lei Zhang*, David Zhang, Xin Yin, and Yan Liu, "A Novel Semi-supervised Learning Approach in Artificial Olfaction for E-Nose Application," IEEE Sensors Journal, vol. 16, no. 12, pp. 4919-4931, 2016.[paper], [source code] (IF: 3.076)
Xin Yin, Lei Zhang*, Fengchun Tian and David Zhang, "Temperature Modulated Gas Sensing E-nose System for Low-Cost and Fast Detection," IEEE Sensors Journal, vol.16, no.2, pp. 464-474, 2016. in press. [paper], [data and source code] (IF: 2.512)
Xichuan Zhou, Fan Yang, Yujie Fang, Qin Li, Fang Tang, Shengdong Hu, Zhi Lin, and Lei Zhang, "A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet," IEEE/ACM Transactions on Computational Biology and Bioinformatics [T-CBB], vol. 15, no. 3, pp. 802-812, 2018. [paper] (IF: 1.955)
Lei Wang, Luyan Ji, Xiurui Geng, and Lei Zhang, "Comments on "Hierarchical Suppression Method for Hyperspectral Target Detection"," IEEE Geoscience and Remote Sensing Letters, vol. 19, 26 Sep., 2022. [paper], (IF: 5.343)
Tan Guo, Fulin Luo, Lei Zhang, Xiaoheng Tan, and Juhua Liu, "Target Detection in Hyperspectral Imagery via Sparse and Dense Hybrid Representation," IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 4, pp. 716-720, 25 Jul., 2019. (IF: 3.534), [paper]
Luojun Lin, Han Xie, Zhishu Sun, Weijie Chen, Wenxi Liu, Yuanlong Yu, and Lei Zhang, "Semi-Supervised Domain Generalization with Evolving Intermediate Domain", in Pattern Recognition, vol. 149, Jan 2024. (IF: 8.0) [paper], [Github source code]
Shanshan Wang, Lei Zhang*, Pichao Wang, Mengzhu Wang, and Xingyi Zhang, “BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective,” Pattern Recognition, vol. 133, Jan 2023. (IF: 8.518) [paper], [Github source code]
Fuxiang Huang, Xuefeng Lv, and Lei Zhang*, "Coarse-to-fine Sparse Self-attention for Vehicle Re-identification," Knowledge-Based Systems, vol. 270, April 2023. (IF: 8.139) [paper]
Tan Guo, Xiaoheng Tan, Liu Yang, Zhifang Liang, Bob Zhang, and Lei Zhang, "Domain Adaptive Subspace Transfer Model for Sensor Drift Compensation in Biologically Inspired Electronic Nose," Expert Systems with Applications, vol. 208, 1 Dec., 2022. (IF: 8.665) [paper]
Lei Zhang*, Jian Yang, and David Zhang, "Domain Class Consistency based Transfer Learning for Image Classification Across Domains," Information Sciences, vol. 418-419, pp. 242-257, 2017. [paper] (IF: 5.524)
Lei Zhang* and David Zhang, "MetricFusion: Generalized Metric Swarm Learning for Similarity Measure," Information Fusion, vol. 30, pp. 80-90, 2016.[paper] (IF: 12.975)
Fuxiang Huang, Jingru Fu, and Lei Zhang*, "Bilateral Co-transfer for Unsupervised Domain Adaptation," Journal of Automation and Intelligence, vol. 2, pp. 204-217, 2023. [paper]
Qingyan Duan, Lei Zhang*, Yan Zhang, and Xinbo Gao, "PSGAN: Revisit the Binary Discriminator and An Alternative for Face Frontalization," Neurocomputing, vol. 518, pp. 360-372, 21 Jan 2023. (IF: 5.779) [paper]
Shanshan Wang, Lei Zhang*, Weihua Chen, Fan Wang, and Hao Li, "Refining Pseudo Labels for Unsupervised Domain Adaptive Re-Identification," Knowledge-Based Systems, vol. 242, April 2022. [paper] (IF: 8.038)
Ni Xiao, Lei Zhang*, Xin Xu, Tan Guo and Huimin Ma, "Label Disentangled Analysis for Unsupervised Visual Domain Adaptation," Knowledge based Systems, vol. 229, 11 Oct., 2021. Accept. (IF: 8.083) [paper], [source code]
Shanshan Wang, Lei Zhang*, and Jingru Fu, "Adversarial Transfer Learning for Cross-domain Visual Recognition," Knowledge-based Systems, vol. 204, 27 Sep., 2020. Accept. (IF: 8.083) [paper]
Lei Zhang*, David Zhang, Ming-Ming Sun, and Fang-Mei Chen, "Facial Beauty Analysis based on Geometric Feature: Toward Attractiveness Assessment Application," Expert Systems with Applications, vol. 82, pp. 252-265, Oct 2017. [paper], [link] (IF: 4.292)
Zhenwei He, Lei Zhang*, and Fangyi Liu, "DiscoStyle: Multi-level Logistic Ranking for Personalized Image Style Preference Inference," International Journal of Automation and Computing (IJAC), vol. 17, pp. 637–651, 2020. [paper]. [Top-10 Paper in IJAC2020]
Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhifang Liang, "Data Induced Masking Representation Learning for Face Data Analysis," Knowledge based Systems, vol. 177, pp. 82-93, Aug 2019. (IF: 5.101). [paper]
Lei Zhang*, Yan Liu, Zhenwei He, Ji Liu, Pingling Deng, and Xichuan Zhou, "Anti-Drift in E-nose: A Subspace Projection Approach with Drift Reduction," Sensors and Actuators B: Chemical, vol. 253, pp. 407-417, 2017. [paper], [source code] (IF: 7.1) (citation: 100+)
Lei Zhang*, Fengchun Tian, Hong Nie, Lijun Dang, Guorui Li, Qi Ye, Chaibou Kadri,"Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine," Sensors and Actuators B, vol.174, pp.114-125, 2012.[paper],[code] (IF: 7.1) (citation: 150+)
Lei Zhang*, Fengchun Tian, Xiongwei Peng, Lijun Dang, Guorui Li, Shouqiong Liu, Chaibou Kadri,"Standardization of metal oxide sensor array using artificial neural networks through experimental design," Sensors and Actuators B: Chemical, vol.177, pp.947-955, 2013.[paper],[code] (IF: 7.1)
Lei Zhang*, Fengchun Tian, Shouqiong Liu, Lijun Dang,Xiongwei Peng, Xin Yin,"Chaotic time series prediction of e-nose sensor drift in embedded phase space," Sensors and Actuators B: Chemical, vol.182, pp.71-79,2013.[paper],[code] (IF: 7.1)
Lei Zhang*, Fengchun Tian, Chai bou Kadri, Guangshu Pei, Hongjuan Li, Lina Pan,"Gases concentration estimation using heuristics and bioinspired optimization models for experimental chemical electronic nose," Sensors and Actuators B: Chemical, vol. 160, pp.760-770, 2011. [paper],[code] (IF: 7.1)
Lei Zhang, F.C. Tian*, C. Kadri, B. Xiao, H.J. Li, L. Pan, H. Zhou, "On-Line Sensor Calibration Transfer Among Electronic Nose Instruments for Monitoring Volatile Organic Chemicals in Indoor Air Quality," Sensors and Actuators B: Chemical, vol. 160, pp.899-909, 2011.[paper],[code] (IF: 7.1) (citation: 100+)
Linyu Tang and Lei Zhang*, "Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) [CCF-A], 2024. Accept. [paper], [Github source code] (A robust overfitting prior for generalizable adversarial defense)
Kaijie Ren and Lei Zhang*, "Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) [CCF-A], 2024. Accept. [paper], [Github source code]
Fuxiang Huang, Lei Zhang*, Xiaowei Fu and Suqi Song, "Dynamic Weighted Combiner for Mixed-Modal Image Retrieval", in The 38th AAAI Conference on Artificial Intelligence (AAAI) [CCF-A], 2024. Accept. [paper], [Github source code]
Qinghai Lang, Zhenwei He, Xiaowei Fu, and Lei Zhang*, "Class-aware Memory Guided Unbiased Weighting for Universal Domain Adaptive Object Detection," IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, pp. 4345-4354, 2023. [paper].
Luojun Lin, Zhifeng Shen, Zhishu Sun, Yuanlong Yu, Lei Zhang, and Weijie Chen, "Parameter Exchange for Robust Dynamic Domain Generalization," ACM International Conference on Multimedia (ACM MM), pp. 7354-7362, 2023. [paper], [source code] (CCF-A)
Mingjun Xu, Lingyun Qin, Weijie Chen, Shiliang Pu, and Lei Zhang*, "Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Accept. (CCF-A) [Highlight paper (top 2.5%)] [paper], [Project], [Video]
Fuxiang Huang and Lei Zhang*, "Language Guided Local Infiltration for Interactive Image Retrieval," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023. Accept. [paper]
Wenxu Shi, Lei Zhang*, Weijie Chen, and Shiliang Pu, "Universal Domain Adaptive Object Detector," ACM International Conference on Multimedia (ACM MM), 2022. Accept. [paper], [Github source code] (CCF-A)
Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang Lei Zhang, Mingli Song, Di Xie, and Shiliang Pu, "Attention Diversification for Cross-domain Generalization," European Conference on Computer Vision (ECCV), 2022. Accept.[Project]
Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, and Shiliang Pu, "Learning Domain Adaptive Object Detection with Probabilistic Teacher," Proceedings of International Conference on Machine Learning (ICML), 2022. Accept. [Project] (CCF-A)
Keyang Wang and Lei Zhang*, "Reconcile Prediction Consistency for Balanced Object Detection," IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Accept. (CCF-A), [paper], [github source code]
Ni Xiao and Lei Zhang*, "Dynamic Weighted Learning for Unsupervised Domain Adaptation," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Accept. Virtual, June 19-25. (CCF-A) (Acceptance rate: 23%) [paper], [Source code] (citation: 160+)
Fuxiang Huang, Lei Zhang*, Yang Yang, and Xichuan Zhou, "Probability Weighted Compact Feature for Domain Adaptive Retrieval," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), June 14-19, 2020. Accept. [paper], [Github source code]. June 14-19, Seattle, USA. (CCF-A) (Acceptance rate: 22%)
Keyang Wang, Lei Zhang*, Wenli Song, Qinghai Lang, and Lingyun Qin, "Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection," IEEE International Conference on Image Processing (ICIP), Sep. 19-22, 2021. Anchorage, Alaska, USA. Accept. [paper]
Keyang Wang and Lei Zhang*, "Single-Shot Two-Pronged Detector with Rectified IoU Loss," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A), [Oral] [paper]
Zhongzhou Zhang and Lei Zhang*, "Hard Negative Samples Emphasis Tracker without Anchors," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A) [paper]
Zhipu Liu, Lei Zhang*, and Yang Yang, "Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A) [paper]
Liang Sun, Xiang Guan, Yang Yang, and Lei Zhang, "Text-Embedded Bilinear Model for Fine-Grained Visual Recognition," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A)
Zhenwei He and Lei Zhang*, "Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN," European Conference on Computer Vision (ECCV), 2020. Accept. (acceptance rate: 27%) [paper], [Github source code] (citation: 120+)
Shanshan Wang and Lei Zhang*, "Self-adaptive Re-weighted Adversarial Domain Adaptation," The 29th International Joint Conference on Artificial Intelligence (IJCAI), July 11-17, Yokohama, Japan, 2020. Accept. (CCF-A) (Acceptance rate: 12.6%)
Yingguo Xu, Lei Zhang*, and Qingyan Duan, "Domain Private and Agnostic Feature for Modality Adaptive Face Recognition," International Joint Conference on Biometrics (IJCB), 2020. Accept.[paper]
Dawei Du, Pengfei Zhu,,,,, Lei Zhang, "VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results," Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019. (citation: 350+)
Zhenwei He and Lei Zhang*, "Multi-adversarial Faster-RCNN for Unrestricted Object Detection," IEEE International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A). [paper], [Github source code] (Acceptance rate: 25%) (citation: 320+)
Fangyi Liu and Lei Zhang*, "View Confusion Feature Learning for Person Re-identification," IEEE International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A). [paper], [Github source code] (Acceptance rate: 25%)
Ji Liu and Lei Zhang*, "Optimal Projection Guided Transfer Hashing for Image Retrieval," The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. Accept. Honolulu, Hawaii, USA. [paper], [Github source code]. (Acceptance rate: 16.2%). (CCF-A), [Oral], (A new guiding transfer hashing learning model is proposed for cross-domain image retrieval)
Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, and Cheng Zhuo, "An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression," The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. Accept. Honolulu, Hawaii, USA. [paper]. (Acceptance rate: 16.2%). (CCF-A)
Pengfei Zhu, Longyin Wen, Dawei Du, Bian Xiao, Haibin Ling, Qinghua Hu,,,, Lei Zhang, et al., "VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results," Computer Vision-ECCV 2018 Workshops. (citation: 150+)
Shanshan Wang, Lei Zhang*, and Wangmeng Zuo, "Class-specific Reconstruction Transfer Learning via Sparse Low-rank Constraint," IEEE Int'Conf. Computer Vision (ICCV), pp. 949-957, Oct 2017. Venice, Italy. (CCF-A). [paper]
Qingyan Duan, Lei Zhang*, and Wangmeng Zuo, "From Face Recognition to Kinship Verification: An Adaptation Approach," IEEE Int'Conf. Computer Vision (ICCV), pp. 1590-1598, Oct 2017. Venice, Italy. (CCF-A). [paper], [Github source code]
Qingyan Duan and Lei Zhang*, "AdvNet: Adversarial Contrastive Residual Net for 1 Million Kinship Recognition," ACM Conf. Multimedia (ACM MM), pp. 21-29, Oct 2017. Mountain View, California, USA. (CCF-A). [paper], [Github source code]
Zhenwei He and Lei Zhang*, "End-to-End Detection and Re-identification Integrated Net for Person Search," The 14th Asian Conference on Computer Vision (ACCV), pp. 349-364, 2018. Berth, Australia. [paper]. (Acceptance rate: 28%), (To the best of our knowledge, this is the 4th paper for person search, a joint framework of pedestrian detection and re-identification)