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Z. Han, J. Jiao, B. Zhang, Q. Ye, Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR), Pattern recognition, 2011.( SCI) (IF=4.582)
R. Xu, J. Jiao, B. Zhang, pedestrian detection from images based on Cascaded L1-norm minimization learning, Pattern recognition, 2012.( SCI) (IF=4.582)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang: The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Transactions cybernetics 45(6): 1169-1179 (2015) (SCI) (IF=7.384)
B. Zhang, Y. Gao, S. Zhao and B. Zhong, “Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background”, IEEE Transactions on Circuits and Systems for Video Technology, 2010. (SCI) (IF=3.599)
Lei Wang, Baochang Zhang*, Wankou Yang:Boosting-Like Deep Convolutional Network for Pedestrian Detection. Signal processing and image communication, 2016. (SCI) (IF=2.244)
Changqing Zou, Tianfan Xue, Xiaojiang Peng, Honghua Li, Baochang Zhang*, Ping Tan,Jianzhuang Liu:An example-based approach to 3D man-made object reconstruction from line drawings. Pattern Recognition 60: 543-553 (2016) (SCI) (IF=4.582)
Baochang Zhang, Z. Li, X. Cao, Qixiang Ye, C. Chen, L. Shen, A. Perina, and R. Ji,"Output Constraint Transfer for Kernelized Correlation Filter in Tracking," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, Digital Object Identifier 10.1109/TSMC.2016.2629509. (SCI)
Chunlei Liu, Wenrui Ding, Xiaodi Wang, Baochang Zhang: Hybrid Gabor Convolutional Networks. Pattern Recognition Letters 116: 164-169 (2018)
Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino: Adaptive Local Movement Modelling for Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 2017. (IF=3.599)
Juning Liu, Xianbin Cao, Yan Li, Baochang Zhang, Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios, IEEE Transactions on Intelligent Transportation Systems, 2017. SCI IF=3.72.
Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang, Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features, IEEE Trans. on Circuits and Systems for Video Technology. 2017. (IF=3.599)
Baochang Zhang, Shang Zhen Luan, Chen Chen, Jungong Han, Ling Shao, Latent Constrained Correlation Filter，IEEE Transactions on Image Processing, 2017. (IF=5.071) Highly Cited Papers
Baochang Zhang, Yun Yang, Chen Chen, Jungong Han, Ling Shao, Action Recognition Using 3D Histograms of Texture and A Multi-class Boosting Classifier, IEEE Transactions on Image Processing, 26(10) ,2017. (IF=5.071) Highly Cited Papers
Baochang Zhang, A. Perina, Ce Li, Q. Ye, Vittorio Murio, A. del bue, Manifold constraint transfer for visual structure-driven optimization, Pattern Recognition, 2018. (IF=4.582)
Ce Li, Chunyu Xie, Baochang Zhang*, Chen Chen, Jungong Han. Deep Fisher discriminant learning for mobile hand gesture recognition, Pattern Recognition, 2018.
L. Yang, Ce Li, J. Han, C. Chen, Q. Ye, Baochang Zhang*, Xianbin Cao, Wanquan Liu, Manifold Constrained Convolutional Sparse Coding for Image Sets, IEEE Journal of Selected Topics in Signal Processing, 2017. (IF=5.3).
Linlin Yang, Ce Li, Chunyu Xie, Linna Wang, Baochang Zhang:Adaptive multiclass correlation filters and its applications in the time series recognition. J. Electronic Imaging 27(03): 033010 (2018)
Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zheng, Deep Ensemble Machine for Video Classi?cation, IEEE Trans. Neural Network and Learning System. 2019.
Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Jianzhuang Liu, One-Two-One network for Compression Artifacts Reduction in Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, 2018. (IF=6.387). Highly Cited Papers
Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu: Gabor Convolutional Networks. IEEE Trans. Image Processing 27(9): 4357-4366 (2018) Highly Cited Papers
Baochang Zhang, Y. Gao, S. Zhao and J. Liu, “Local Derivative Pattern versus Local Binary Pattern: Face Recognition with High-Order Local Pattern Descriptor”, IEEE Transactions on Image Processing, Vol. 19, No. 2, pp. 533-544, 2010. 830 citation Google scholar（IF=5.071） Highly Cited Papers
Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao. Histogram of Gabor Phase Patterns: A novel object representation for face recognition. IEEE Transactions on Image Processing, 2007. ESI 630 citation Google scholar (IF=5.071) Highly Cited Papers
Baochang Zhang, W. Liu, Z. Mao, Cooperative and Geometric Learning for path planning of UAV, Automatica, 2014. (IF=5.451)
Chunyu Xie, Ce Li, Baochang Zhang*, Lili Pan, Qixiang Ye, Wei Chen: Hierarchical residual stochastic networks for time series recognition. Inf. Sci. 471: 52-63 (2019)
Hainan Wang, Yunqi Miao, Hongren Wang, Baochang Zhang: Convolutional Attention in Ensemble With Knowledge Transferred for Remote Sensing Image Classification. IEEE Geosci. Remote Sensing Lett. 16(4): 643-647 (2019)
Yufeng Wang, Wenrui Ding, Baochang Zhang, Hongguang Li, Shuo Liu Superpixel Labeling Priors and MRF for Aerial Video Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, 2019.
Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li: Long-Short-Term Features for Dynamic Scene Classification. IEEE Trans. Circuits Syst. Video Techn. 29(4): 1038-1047 (2019)
Gengshen Wu, Jungong Han, Zijia Lin, Guiguang Ding, Baochang Zhang*, and Qiang Ni, Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning, IEEE Transactions on Industrial Electronics, 2019 (IF=7.05)
Peicheng Zhou, Junwei Han, Gong Cheng, Baochang Zhang. Learning compact and discriminative stacked autoencoder for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, in press, 2019. (IF=4.662)
Ce Li, Baochang Zhang*, Chen Chen, Jungong Han, Qixiang Ye, Rongrong Ji, Guodong Guo, Deep Manifold Structure Transfer for Action Recognition, IEEE Transactions on Image Processing, 2019. (IF=5.071)
Baochang Zhang, Alessandro Perina, Zhigang Li, Vittorio Murino, Jianzhuang Liu, Rongrong Ji, Bounding Multiple Gaussians Uncertainty with Application to Object Tracking, International Journal of Computer Vision, 2016. (IF=11.5222)
B. Zhang, X. Chen, Shiguang Shan, Wen Gao. Nonlinear Face Recognition based on Maximum Average Margin Criterion. in proc. of CVPR, 2005. Top Conference
R. Xu, B. Zhang, Qixiang, Ye, Jianbin Jiao. Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection. in proc. of CVPR, 2010.( Top Conference) Top Conference
Linlin Yang, Dandan Du, Baochang Zhang, Wankou Yang:A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion. CCBR 2015: 499-507
Baochang Zhang, Alessandro Perina, Vittorio Murino, Alessio Del Bue:Sparse representation classification with manifold constraints transfer. CVPR 2015: 4557-4565(Top Conference) Top Conference
Linlin Yang, Chen Chen, Hainan Wang, Baochang Zhang*, Jungong Han:Adaptive Multi-class Correlation Filters. PCM (2) 2016: 680-688
Chunyu Xie, Shangzhen Luan, Hainan Wang, Baochang Zhang*: Gesture Recognition Benchmark Based on Mobile Phone. CCBR 2016: 432-440
Chen Chen, Baochang Zhang*, Alessio Del Bue, Vittorio Murino: Manifold Constrained Low-Rank Decomposition. ICCV Workshops 2017: 1800-1808
Chen Chen, Mengyuan Liu, Baochang Zhang*, Jungong Han, Junjun Jiang, Hong Liu:3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. IJCAI 2016: 3331-3337 (Top Conference) Top Conference
Q. Ye, Z. Zhang, Q. Qiu, J. Chen, G. Sapiro, B. Zhang, Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model, in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. Top Conference
Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang and Baochang Zhang, Cross-Modality Binary Code Learning via Fusion Similarity Hashing, IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2017. Top Conference
Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu: Gabor Convolutional Networks. WACV 2018: 1254-1262
Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen: Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. IJCAI 2018: 2854-2860 Top Conference
Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang: Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. IJCAI 2018: 2425-2432 Top Conference
Chunyu Xie, Ce Li, Baochang Zhang*, Chen Chen, Jungong Han, Jianzhuang Liu: Memory Attention Networks for Skeleton-based Action Recognition. IJCAI 2018: 1639-1645 Top Conference
Xiaodi Wang, Baochang Zhang*, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu: Modulated Convolutional Networks. CVPR 2018: 840-848 Top Conference
Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao: Attentional Alignment Networks. BMVC 2018: 208
Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao: Deep Collaborative Tracking Networks. BMVC 2018: 87
Mohamed A. Kassab, Ali Maher, Fathy Elkazzaz and Zhang Baochang*, UAV Target Tracking By Detection Via Deep Neural Networks, ICME 2019
Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang*, Qixiang Ye: Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. WACV 2019: 171-178
Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang*, Jungong Han, Jianzhuang Liu: Taylor Convolutional Networks for Image Classification. WACV 2019: 1271-1279
Li’an Zhuo, Baochang Zhang*, Chen Chen, David Doermann. Calibration Stochastic Gradient Descent for Convolutional Neural Network, AAAI 2019. Top Conference
Jiaxin Gu, Ce Li, Baochang Zhang*, Jungong Han, David Doermann. Projection Convolutional Neural Network, AAAI 2019. Top Conference
Xiawu Zheng , Rongrong Ji , Xiaoshuai Sun, Baochang Zhang, Yongjian Wu,Yunsheng Wu，Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale layer, AAAI 2019. Top Conference
Taisong Jin, Liujuan Cao , Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji Hypergraph Induced Convolutional Manifold NetworksI International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji ,Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework, International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang*, Jianzhuang Liu, Bohan Zhuang, Guodong Guo, Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs, International Joint Conferences on Artificial Intelligence IJCAI 2019 Top Conference
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David Doermann5, Ling Shao4 ，Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann. Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji. Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang*, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David Doermann, Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. Top Conference
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