Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search. - Baochang Zhang 001; Wen Gao 001; Shiguang Shan; Wei Wang 016 (AVBPA, 2003)

Gabor-Kernel Fisher Analysis for Face Recognition. - Baochang Zhang 001 (PCM (2), 2004)

Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition. - Baochang Zhang 001; Xilin Chen 001; Wen Gao 001 (AVBPA, 2005)

Nonlinear Face Recognition Based on Maximum Average Margin Criterion. - Baochang Zhang 001; Xilin Chen 001; Shiguang Shan; Wen Gao 001 (CVPR (1), 2005)

The Application of Extended Geodesic Distance in Head Poses Estimation. - Bingpeng Ma; Fei Yang; Wen Gao 001; Baochang Zhang 001 (ICB, 2006)

Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition. - Yi Li; Baochang Zhang 001; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (ICPR (3), 2006)

Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition. - Baochang Zhang 001; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (IEEE Trans. Image Process., 2007)

Face recognition based on Gradient Gabor feature. - Baochang Zhang 001; Yongsheng Gao 001; Yu Qiao 001 (ICIP, 2008)

Sobel-LBP. - Sanqiang Zhao; Yongsheng Gao 001; Baochang Zhang 001 (ICIP, 2008)

Complex background modeling and motion detection based on Texture Pattern Flow. - Baochang Zhang 001; Yongsheng Gao 001; Bineng Zhong (ICPR, 2008)

Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition. - Baochang Zhang 001; Zhongli Wang; Bineng Zhong (EURASIP J. Adv. Signal Process., 2008)

Multl-resolution background subtraction for dynamic scenes. - Bineng Zhong; Shaohui Liu; Hongxun Yao; Baochang Zhang 001 (ICIP, 2009)

Local Kernel Mapping for Object Recognition. - Baochang Zhang 001; Hong Zheng; Zhongli Wang (ICNC (2), 2009)

Gabor feature constrained statistical model for efficient landmark localization and face recognition. - Sanqiang Zhao; Yongsheng Gao 001; Baochang Zhang 001 (Pattern Recognit. Lett., 2009)

Cascaded L1-norm Minimization Learning (CLML) classifier for human detection. - Ran Xu; Baochang Zhang 001; Qixiang Ye; Jianbin Jiao (CVPR, 2010)

Human detection in images via L1-norm Minimization Learning. - Ran Xu; Baochang Zhang 001; Qixiang Ye; Jianbin Jiao (ICASSP, 2010)

Fast pedestrian detection with multi-scale orientation features and two-stage classifiers. - Qixiang Ye; Jianbin Jiao; Baochang Zhang 001 (ICIP, 2010)

Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition. - Sanqiang Zhao; Yongsheng Gao 001; Baochang Zhang 001 (ICPR, 2010)

Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis. - Baochang Zhang 001; Yu Qiao 001 (Neural Comput. Appl., 2010)

Directional binary code with application to PolyU near-infrared face database. - Baochang Zhang 001; Lei Zhang 006; David Zhang 001; LinLin Shen (Pattern Recognit. Lett., 2010)

Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor. - Baochang Zhang 001; Yongsheng Gao 001; Sanqiang Zhao; Jianzhuang Liu (IEEE Trans. Image Process., 2010)

Study on the BeiHang Keystroke Dynamics Database. - Yilin Li; Baochang Zhang 001; Yao Cao; Sanqiang Zhao; Yongsheng Gao 001; Jianzhuang Liu (IJCB, 2011)

Sparse regression analysis for object recognition. - Baochang Zhang 001; Shengping Zhang; Jianzhuang Liu (ICIP, 2011)

Local Kernel Feature Analysis (LKFA) for object recognition. - Baochang Zhang 001; Yongsheng Gao 001; Hong Zheng (Neurocomputing, 2011)

Complex background modeling based on Texture Pattern Flow with adaptive threshold propagation. - Baochang Zhang 001; Bineng Zhong; Yao Cao (J. Vis. Commun. Image Represent., 2011)

Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR). - Zhenjun Han; Jianbin Jiao; Baochang Zhang 001; Qixiang Ye; Jianzhuang Liu (Pattern Recognit., 2011)

Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background. - Baochang Zhang 001; Yongsheng Gao 001; Sanqiang Zhao; Bineng Zhong (IEEE Trans. Circuits Syst. Video Technol., 2011)

Pedestrian detection in images via cascaded L1-norm minimization learning method. - Ran Xu; Jianbin Jiao; Baochang Zhang 001; Qixiang Ye (Pattern Recognit., 2012)

An Improved Adaptive Weighted LTP Algorithm for Face Recognition Based on Single Training Sample. - Rong Huang 009; Lian Zhu; Wankou Yang; Baochang Zhang 001; Changyin Sun 001 (CCBR, 2013)

Compressed Sensing Ensemble Classifier for Human Detection. - Baochang Zhang 001; Juan Liu; Yongsheng Gao 001; Jianzhuang Liu (IScIDE, 2013)

Interval Algorithm for Set-Membership Identification of MIMO LTI System. - Xiaojun Wang; Chen Yang 021; Baochang Zhang 001; Lei Wang 018 (IUKM, 2013)

Spatial Weighting for Bag-of-Features Based Image Retrieval. - Chuanqian Wang; Baochang Zhang 001; Zengchang Qin; Junyi Xiong (IUKM, 2013)

The BeiHang Keystroke Dynamics Authentication System. - Juan Liu; Baochang Zhang 001; LinLin Shen; Jianzhuang Liu; Jason Zhao (CoRR, 2013)

Weighted Margin Sparse Embedded classifier for brake cylinder detection. - Yao Cao; Baochang Zhang 001; Jianzhuang Liu; Jiangsha Ma (Neurocomputing, 2013)

Location recognition on lifelog images via a discriminative combination of generative models. - Alessandro Perina; Matteo Zanotto; Baochang Zhang 001; Vittorio Murino (BMVC, 2014)

A Non-negative Low Rank and Sparse Model for Action Recognition. - Biyun Sheng; Wankou Yang; Baochang Zhang 001; Changyin Sun 001 (CCPR (2), 2014)

Similarity Michaelis-Menten law pre-processing descriptor for face recognition. - Suli Ji; Baochang Zhang 001; Dandan Du; Biao He; Jianzhuang Liu (IJCNN, 2014)

Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information. - Baochang Zhang 001; Wanquan Liu; Zhili Mao; Jianzhuang Liu; LinLin Shen (Autom., 2014)

The BeiHang Keystroke Dynamics Systems, Databases and baselines. - Juan Liu; Baochang Zhang 001; Haoran Zeng; LinLin Shen; Jianzhuang Liu; Jason Zhao (Neurocomputing, 2014)

Hyperspectral image classification using Gradient Local Auto-Correlations. - Chen Chen 001; Junjun Jiang; Baochang Zhang 001; Wankou Yang; Jianzhong Guo (ACPR, 2015)

Action recognition using completed local binary patterns and multiple-class boosting classifier. - Yun Yang; Baochang Zhang 001; Linlin Yang; Chen Chen 001; Wankou Yang (ACPR, 2015)

Boosting-Like Deep Convolutional Network for Pedestrian Detection. - Lei Wang 018; Baochang Zhang 001; Wankou Yang (CCBR, 2015)

A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion. - Linlin Yang; Dandan Du; Baochang Zhang 001; Wankou Yang (CCBR, 2015)

Sparse representation classification with manifold constraints transfer. - Baochang Zhang 001; Alessandro Perina; Vittorio Murino; Alessio Del Bue (CVPR, 2015)

Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. - Chen Chen 001; Zhenjie Hou; Baochang Zhang 001; Junjun Jiang; Yun Yang (ISVC (1), 2015)

Adaptive Local Movement Modelling for Object Tracking. - Baochang Zhang 001; Zhigang Li; Alessandro Perina; Alessio Del Bue; Vittorio Murino (WACV, 2015)

Boosting-like Deep Learning For Pedestrian Detection. - Lei Wang 018; Baochang Zhang 001 (CoRR, 2015)

A compressed sensing ensemble classifier with application to human detection. - Baochang Zhang 001; Zhigang Li; Juan Liu (Neurocomputing, 2015)

Fast algorithm for color texture image inpainting using the non-local CTV model. - Jinming Duan 001; Zhenkuan Pan 001; Baochang Zhang 001; Wanquan Liu; Xue-Cheng Tai (J. Glob. Optim., 2015)

Geometric Reinforcement Learning for Path Planning of UAVs. - Baochang Zhang 001; Zhili Mao; Wanquan Liu; Jianzhuang Liu (J. Intell. Robotic Syst., 2015)

The Generalization Ability of SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009; Baochang Zhang 001 (IEEE Trans. Cybern., 2015)

Multilinear Local Fisher Discriminant Analysis for Face Recognition. - Yucong Peng; Peng Zhou; Hao Zheng; Baochang Zhang 001; Wankou Yang (CCBR, 2016)

Gesture Recognition Benchmark Based on Mobile Phone. - Chunyu Xie; Shangzhen Luan; Hainan Wang; Baochang Zhang 001 (CCBR, 2016)

Local Dual-Cross Ternary Pattern for Feature Representation. - Peng Zhou; Yucong Peng; Jifeng Shen; Baochang Zhang 001; Wankou Yang (CCBR, 2016)

GPCA-SIFT: A New Local Feature Descriptor for Scene Image Classification. - Lei Ju 005; Ke Xie 004; Hao Zheng; Baochang Zhang 001; Wankou Yang (CCPR (2), 2016)

Cloud-Based Video Surveillance System Using EFD-GMM for Object Detection. - Ce Li 002; Jianchen Su; Baochang Zhang 001 (ICCCS (1), 2016)

Scale Invariant Kernelized Correlation Filter Based on Gaussian Output. - Xiangbo Su; Baochang Zhang 001; Linlin Yang; Zhigang Li; Yun Yang (ICCCS (2), 2016)

Human Facial Expression Recognition Based on 3D Cuboids and Improved K-means Clustering Algorithm. - Yun Yang; Borui Yang; Wei Wei; Baochang Zhang 001 (ICCCS (2), 2016)

Person re-identification using sparse representation with manifold constraints. - Behzad Mirmahboub; Hamed Kiani; Amran Bhuiyan; Alessandro Perina; Baochang Zhang 001; Alessio Del Bue; Vittorio Murino (ICIP, 2016)

3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. - Chen Chen 001; Mengyuan Liu; Baochang Zhang 001; Jungong Han; Junjun Jiang; Hong Liu 008 (IJCAI, 2016)

Adaptive Multi-class Correlation Filters. - Linlin Yang; Chen Chen 001; Hainan Wang; Baochang Zhang 001; Jungong Han (PCM (2), 2016)

Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. - Qixiang Ye; Tianliang Zhang; Qiang Qiu 001; Baochang Zhang 001; Jie Chen 001; Guillermo Sapiro (CoRR, 2016)

Bounding Multiple Gaussians Uncertainty with Application to Object Tracking. - Baochang Zhang 001; Alessandro Perina; Zhigang Li; Vittorio Murino; Jianzhuang Liu; Rongrong Ji (Int. J. Comput. Vis., 2016)

Face recognition using adaptive local ternary patterns method. - Wankou Yang; Zhenyu Wang; Baochang Zhang 001 (Neurocomputing, 2016)

Sparsity analysis versus sparse representation classifier. - Baochang Zhang 001; Suli Ji; Li Li; Shengping Zhang; Wankou Yang (Neurocomputing, 2016)

An example-based approach to 3D man-made object reconstruction from line drawings. - Changqing Zou; Tianfan Xue; Xiaojiang Peng; Honghua Li; Baochang Zhang 001; Ping Tan; Jianzhuang Liu (Pattern Recognit., 2016)

Land-use scene classification using multi-scale completed local binary patterns. - Chen Chen 001; Baochang Zhang 001; Hongjun Su; Wei Li 032; Lu Wang (Signal Image Video Process., 2016)

Robust object representation by boosting-like deep learning architecture. - Lei Wang 018; Baochang Zhang 001; Jungong Han; Linlin Shen; Chengshan Qian (Signal Process. Image Commun., 2016)

Realtime Human-UAV Interaction Using Deep Learning. - Ali Maher; Ce Li 002; Hanwen Hu; Baochang Zhang 001 (CCBR, 2017)

Gesture Recognition Based on Deep Belief Networks. - Yunqi Miao; Linna Wang; Chunyu Xie; Baochang Zhang 001 (CCBR, 2017)

Cross-Modality Binary Code Learning via Fusion Similarity Hashing. - Hong Liu 009; Rongrong Ji; Yongjian Wu 001; Feiyue Huang; Baochang Zhang 001 (CVPR, 2017)

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. - Qixiang Ye; Tianliang Zhang; Wei Ke 003; Qiang Qiu 001; Jie Chen 001; Guillermo Sapiro; Baochang Zhang 001 (CVPR, 2017)

CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions. - Yan Li 054; Xianbin Cao 001; Junying Liu; Baochang Zhang 001 (GlobalSIP, 2017)

Evaluation of super-resolution on bird detection performance based on deep convolutional networks. - Ce Li 002; Hanwen Hu; Baochang Zhang 001 (GlobalSIP, 2017)

Manifold Constrained Low-Rank Decomposition. - Chen Chen 001; Baochang Zhang 001; Alessio Del Bue; Vittorio Murino (ICCV Workshops, 2017)

Deep-Patch Orientation Network for Aircraft Detection in Aerial Images. - Ali Maher; Jiaxin Gu; Baochang Zhang 001 (IGTA, 2017)

Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition. - Chen Chen 001; Mengyuan Liu; Hong Liu 008; Baochang Zhang 001; Jungong Han; Nasser Kehtarnavaz (IEEE Access, 2017)

Deep Spatio-temporal Manifold Network for Action Recognition. - Ce Li 002; Chen Chen 001; Baochang Zhang 001; Qixiang Ye; Jungong Han; Rongrong Ji (CoRR, 2017)

Gabor Convolutional Networks. - Shangzhen Luan; Baochang Zhang 001; Chen Chen 001; Xianbin Cao 001; Jungong Han; Jianzhuang Liu (CoRR, 2017)

Filtered shallow-deep feature channels for pedestrian detection. - Biyun Sheng; Qichang Hu; Jun Li 033; Wankou Yang; Baochang Zhang 001; Changyin Sun 001 (Neurocomputing, 2017)

The Robust Derivative Code for Object Recognition. - Hainan Wang; Baochang Zhang 001; Hong Zheng; Yao Cao; Zhenhua Guo; Chengshan Qian (KSII Trans. Internet Inf. Syst., 2017)

Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets. - Linlin Yang; Ce Li 002; Jungong Han; Chen Chen 001; Qixiang Ye; Baochang Zhang 001; Xianbin Cao 001; Wanquan Liu (IEEE J. Sel. Top. Signal Process., 2017)

Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. - Chen Chen 001; Baochang Zhang 001; Zhenjie Hou; Junjun Jiang; Mengyuan Liu; Yun Yang (Multim. Tools Appl., 2017)

Guest Editorial: Feature Learning from RGB-D Data for Multimedia Applications. - Baochang Zhang 001; Jungong Han; Ling Shao 001 (Multim. Tools Appl., 2017)

Adaptive Local Movement Modeling for Robust Object Tracking. - Baochang Zhang 001; Zhigang Li; Alessandro Perina; Alessio Del Bue; Vittorio Murino; Jianzhuang Liu (IEEE Trans. Circuits Syst. Video Technol., 2017)

Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier. - Baochang Zhang 001; Yun Yang; Chen Chen 001; Linlin Yang; Jungong Han; Ling Shao 001 (IEEE Trans. Image Process., 2017)

Output Constraint Transfer for Kernelized Correlation Filter in Tracking. - Baochang Zhang 001; Zhigang Li; Xianbin Cao 001; Qixiang Ye; Chen Chen 001; Linlin Shen; Alessandro Perina; Rongrong Ji (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Deep Collaborative Tracking Networks. - Xiaolong Jiang; Xiantong Zhen; Baochang Zhang 001; Jian Yang; Xianbin Cao 001 (BMVC, 2018)

Attentional Alignment Networks. - Lei Yue; Xin Miao; Pengbo Wang; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001 (BMVC, 2018)

Modulated Convolutional Networks. - Xiaodi Wang; Baochang Zhang 001; Ce Li 002; Rongrong Ji; Jungong Han; Xianbin Cao 001; Jianzhuang Liu (CVPR, 2018)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. - Shaohui Lin; Rongrong Ji; Yuchao Li; Yongjian Wu 001; Feiyue Huang; Baochang Zhang 001 (IJCAI, 2018)

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. - Gengshen Wu; Zijia Lin; Jungong Han; Li Liu 004; Guiguang Ding; Baochang Zhang 001; Jialie Shen 001 (IJCAI, 2018)

Memory Attention Networks for Skeleton-based Action Recognition. - Chunyu Xie; Ce Li 002; Baochang Zhang 001; Chen Chen 001; Jungong Han; Jianzhuang Liu (IJCAI, 2018)

Multiple Classifier System for Remote Sensing Images Classification. - Yunqi Miao; Hainan Wang; Baochang Zhang 001 (IScIDE, 2018)

A 3D Reconstruction System for Large Scene Based on RGB-D Image. - Hongren Wang; Pengbo Wang; Xiaodi Wang; Tianchen Peng; Baochang Zhang 001 (IScIDE, 2018)

Gabor Convolutional Networks. - Shangzhen Luan; Baochang Zhang 001; Siyue Zhou; Chen Chen 001; Jungong Han; Wankou Yang; Jianzhuang Liu (WACV, 2018)

The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Lian Zhuo; Ze Wang 008; Jungong Han; Xiantong Zhen (CoRR, 2018)

One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing. - Baochang Zhang 001; Jiaxin Gu; Chen Chen 001; Jungong Han; Xiangbo Su; Xianbin Cao 001; Jianzhuang Liu (CoRR, 2018)

Memory Attention Networks for Skeleton-based Action Recognition. - Chunyu Xie; Ce Li 002; Baochang Zhang 001; Chen Chen 001; Jungong Han; Changqing Zou; Jianzhuang Liu (CoRR, 2018)

Adaptive multiclass correlation filters and its applications in the time series recognition. - Linlin Yang; Ce Li 002; Chunyu Xie; Linna Wang; Baochang Zhang 001 (J. Electronic Imaging, 2018)

Robust kernelized correlation filter with scale adaption for real-time single object tracking. - Ce Li 002; Xingchao Liu; Xiangbo Su; Baochang Zhang 001 (J. Real Time Image Process., 2018)

Realtime multi-aircraft tracking in aerial scene with deep orientation network. - Ali Maher; Hussein Taha; Baochang Zhang 001 (J. Real Time Image Process., 2018)

Object detection and tracking benchmark in industry based on improved correlation filter. - Shangzhen Luan; Yan Li 054; Xiaodi Wang; Baochang Zhang 001 (Multim. Tools Appl., 2018)

Deep Fisher discriminant learning for mobile hand gesture recognition. - Ce Li 002; Chunyu Xie; Baochang Zhang 001; Chen Chen 001; Jungong Han (Pattern Recognit., 2018)

Manifold constraint transfer for visual structure-driven optimization. - Baochang Zhang 001; Alessandro Perina; Ce Li 002; Qixiang Ye; Vittorio Murino; Alessio Del Bue (Pattern Recognit., 2018)

Hybrid Gabor Convolutional Networks. - Chunlei Liu 001; Wenrui Ding; Xiaodi Wang; Baochang Zhang 001 (Pattern Recognit. Lett., 2018)

Superpixel-Based Feature for Aerial Image Scene Recognition. - Hongguang Li; Yang Shi; Baochang Zhang 001; Yufeng Wang 004 (Sensors, 2018)

Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles. - Duona Zhang; Wenrui Ding; Baochang Zhang 001; Chunyu Xie; Hongguang Li; Chunhui Liu 004; Jungong Han (Sensors, 2018)

Gabor Convolutional Networks. - Shangzhen Luan; Chen Chen 001; Baochang Zhang 001; Jungong Han; Jianzhuang Liu (IEEE Trans. Image Process., 2018)

Latent Constrained Correlation Filter. - Baochang Zhang 001; Shangzhen Luan; Chen Chen 001; Jungong Han; Wei Wang 016; Alessandro Perina; Ling Shao 001 (IEEE Trans. Image Process., 2018)

Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios. - Junying Liu; Xianbin Cao 001; Yan Li 054; Baochang Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2018)

Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. - Jiaxin Gu; Ce Li 002; Baochang Zhang 001; Jungong Han; Xianbin Cao 001; Jianzhuang Liu; David S. Doermann (AAAI, 2019)

Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. - Xiawu Zheng; Rongrong Ji; Xiaoshuai Sun; Baochang Zhang 001; Yongjian Wu 001; Feiyue Huang (AAAI, 2019)

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. - Li'an Zhuo; Baochang Zhang 001; Chen Chen 001; Qixiang Ye; Jianzhuang Liu; David S. Doermann (AAAI, 2019)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CVPR, 2019)

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. - Yuchao Li; Shaohui Lin; Baochang Zhang 001; Jianzhuang Liu; David S. Doermann; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (CVPR, 2019)

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. - Shaohui Lin; Rongrong Ji; Chenqian Yan; Baochang Zhang 001; Liujuan Cao; Qixiang Ye; Feiyue Huang; David S. Doermann (CVPR, 2019)

Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. - Chunlei Liu 001; Wenrui Ding; Xin Xia 005; Baochang Zhang 001; Jiaxin Gu; Jianzhuang Liu; Rongrong Ji; David S. Doermann (CVPR, 2019)

Efficient Block Pruning Based on Kernel and Feature Stablization. - Sheng Xu 007; Hanlin Chen; Kexin Liu; Jinhu Lü; Baochang Zhang 001 (DICTA, 2019)

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. - Hong Liu 009; Rongrong Ji; Jie Li 052; Baochang Zhang 001; Yue Gao 002; Yongjian Wu 001; Feiyue Huang (ICCV, 2019)

Bayesian Optimized 1-Bit CNNs. - Jiaxin Gu; Junhe Zhao; Xiaolong Jiang; Baochang Zhang 001; Jianzhuang Liu; Guodong Guo; Rongrong Ji (ICCV, 2019)

Multinomial Distribution Learning for Effective Neural Architecture Search. - Xiawu Zheng; Rongrong Ji; Lang Tang; Baochang Zhang 001; Jianzhuang Liu; Qi Tian 001 (ICCV, 2019)

Guided Convolutional Network. - Chunlei Liu 001; Wenrui Ding; Yuan Hu; Hanlin Chen; Baochang Zhang 001; Shuo Liu (ICDSC, 2019)

Face Liveness Detection Benchmark based on Stereo Matching. - Minghui Shi; Jiaming Sun; Zhenhuan Huang; Hainan Wang; Chunlei Liu 001; Baochang Zhang 001 (ICDSC, 2019)

UAV Target Tracking By Detection via Deep Neural Networks. - Mohamed A. Kassab; Ali Maher; Fathy Elkazzaz; Baochang Zhang 001 (ICME, 2019)

Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. - Hong Chen; Yongtan Luo; Liujuan Cao; Baochang Zhang 001; Guodong Guo; Cheng Wang 003; Jonathan Li 001; Rongrong Ji (IJCAI, 2019)

Hypergraph Induced Convolutional Manifold Networks. - Taisong Jin; Liujuan Cao; Baochang Zhang 001; Xiaoshuai Sun; Cheng Deng; Rongrong Ji (IJCAI, 2019)

Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. - Chunlei Liu 001; Wenrui Ding; Xin Xia 005; Yuan Hu; Baochang Zhang 001; Jianzhuang Liu; Bohan Zhuang; Guodong Guo (IJCAI, 2019)

Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. - Huafeng Kuang; Rongrong Ji; Hong Liu 009; Shengchuan Zhang; Xiaoshuai Sun; Feiyue Huang; Baochang Zhang 001 (ACM Multimedia, 2019)

Variational Structured Semantic Inference for Diverse Image Captioning. - Fuhai Chen; Rongrong Ji; Jiayi Ji; Xiaoshuai Sun; Baochang Zhang 001; Xuri Ge; Yongjian Wu 001; Feiyue Huang; Yan Wang 059 (NeurIPS, 2019)

Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. - Xingchao Liu; Ce Li 002; Hongren Wang; Xiantong Zhen; Baochang Zhang 001; Qixiang Ye (WACV, 2019)

Taylor Convolutional Networks for Image Classification. - Xiaodi Wang; Ce Li 002; Yipeng Mou; Baochang Zhang 001; Jungong Han; Jianzhuang Liu (WACV, 2019)

An Integrated Deep Learning Framework for Occluded Pedestrian Tracking. - Kai Chen; Xiao Song 001; Xiang Zhai; Baochang Zhang 001; Baocun Hou; Yi Wang (IEEE Access, 2019)

Local convolutional features and metric learning for SAR image registration. - Qiangliang Guo; Jin Xiao; Xiaoguang Hu; Baochang Zhang 001 (Clust. Comput., 2019)

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xiantong Zhen; Xianbin Cao 001; David S. Doermann; Ling Shao 001 (CoRR, 2019)

Supervised Online Hashing via Similarity Distribution Learning. - Mingbao Lin; Rongrong Ji; Shen Chen; Feng Zheng; Xiaoshuai Sun; Baochang Zhang 001; Liujuan Cao; Guodong Guo; Feiyue Huang (CoRR, 2019)

Dynamic Distribution Pruning for Efficient Network Architecture Search. - Xiawu Zheng; Rongrong Ji; Lang Tang; Yan Wan; Baochang Zhang 001; Yongjian Wu 001; Yunsheng Wu; Ling Shao 001 (CoRR, 2019)

Dynamic Neural Network Decoupling. - Yuchao Li; Rongrong Ji; Shaohui Lin; Baochang Zhang 001; Chenqian Yan; Yongjian Wu 001; Feiyue Huang; Ling Shao 001 (CoRR, 2019)

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. - Chunlei Liu 001; Wenrui Ding; Xin Xia 005; Yuan Hu; Baochang Zhang 001; Jianzhuang Liu; Bohan Zhuang; Guodong Guo (CoRR, 2019)

Semantic-aware Image Deblurring. - Fuhai Chen; Rongrong Ji; Chengpeng Dai; Xiaoshuai Sun; Chia-Wen Lin; Jiayi Ji; Baochang Zhang 001; Feiyue Huang; Liujuan Cao (CoRR, 2019)

Development of an EMG-Controlled Knee Exoskeleton to Assist Home Rehabilitation in a Game Context. - Mingxing Lyu; Weihai Chen; Xilun Ding; Jianhua Wang; Zhongcai Pei; Baochang Zhang 001 (Frontiers Neurorobotics, 2019)

ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery. - Xiaolong Jiang; Zehao Xiao; Baochang Zhang 001; Xianbin Cao 001 (IET Image Process., 2019)

Hierarchical residual stochastic networks for time series recognition. - Chunyu Xie; Ce Li 002; Baochang Zhang 001; Lili Pan 003; Qixiang Ye; Wei Chen 016 (Inf. Sci., 2019)

Convolutional Attention in Ensemble With Knowledge Transferred for Remote Sensing Image Classification. - Hainan Wang; Yunqi Miao; Hongren Wang; Baochang Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

SEMANTIC-RTAB-MAP (SRM): A semantic SLAM system with CNNs on depth images. - Mingyuan Mao; Hewei Zhang; Simeng Li; Baochang Zhang 001 (Math. Found. Comput., 2019)

Enhanced Bird Detection from Low-Resolution Aerial Image Using Deep Neural Networks. - Ce Li 002; Baochang Zhang 001; Hanwen Hu; Jing Dai (Neural Process. Lett., 2019)

ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos. - Yunqi Miao; Jungong Han; Yongsheng Gao 001; Baochang Zhang 001 (Pattern Recognit. Lett., 2019)

Long-Short-Term Features for Dynamic Scene Classification. - Yuanjun Huang; Xianbin Cao 001; Qi Wang 009; Baochang Zhang 001; Xiantong Zhen; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features. - Shuman Tian; Xianbin Cao 001; Yan Li 054; Xiantong Zhen; Baochang Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Gaussian Transfer Convolutional Neural Networks. - Hongren Wang; Ce Li 002; Xiantong Zhen; Wankou Yang; Baochang Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification. - Peicheng Zhou; Junwei Han 001; Gong Cheng 003; Baochang Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning. - Gengshen Wu; Jungong Han; Zijia Lin; Guiguang Ding; Baochang Zhang 001; Qiang Ni (IEEE Trans. Ind. Electron., 2019)

Deep Manifold Structure Transfer for Action Recognition. - Ce Li 002; Baochang Zhang 001; Chen Chen 001; Qixiang Ye; Jungong Han; Guodong Guo; Rongrong Ji (IEEE Trans. Image Process., 2019)

Deep Ensemble Machine for Video Classification. - Jiewan Zheng; Xianbin Cao 001; Baochang Zhang 001; Xiantong Zhen; Xiangbo Su (IEEE Trans. Neural Networks Learn. Syst., 2019)

Binarized Neural Architecture Search. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; David S. Doermann; Rongrong Ji (AAAI, 2020)

Few-Shot Learning with Complex-valued Neural Networks. - Zhen Liu; Baochang Zhang 001; Guodong Guo (BMVC, 2020)

HRank: Filter Pruning Using High-Rank Feature Map. - Mingbao Lin; Rongrong Ji; Yan Wang 059; Yichen Zhang 002; Baochang Zhang 001; Yonghong Tian 001; Ling Shao 001 (CVPR, 2020)

Cogradient Descent for Bilinear Optimization. - Li'an Zhuo; Baochang Zhang 001; Linlin Yang; Hanlin Chen; Qixiang Ye; David S. Doermann; Rongrong Ji; Guodong Guo (CVPR, 2020)

Anti-bandit Neural Architecture Search for Model Defense. - Hanlin Chen; Baochang Zhang 001; Song Xue; Xuan Gong; Hong Liu 009; Rongrong Ji; David S. Doermann (ECCV (13), 2020)

Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection. - Yuan Feng; Xiaodi Wang; Ying Xin; Bin Zhang; Jingwei Liu; Mingyuan Mao; Sheng Xu 007; Baochang Zhang 001; Shumin Han (ECCV Workshops (5), 2020)

NAS-Count: Counting-by-Density with Neural Architecture Search. - Yutao Hu 002; Xiaolong Jiang; Xuhui Liu; Baochang Zhang 001; Jungong Han; Xianbin Cao 001; David S. Doermann (ECCV (22), 2020)

Interpretable Neural Network Decoupling. - Yuchao Li; Rongrong Ji; Shaohui Lin; Baochang Zhang 001; Chenqian Yan; Yongjian Wu 001; Feiyue Huang; Ling Shao 001 (ECCV (15), 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (ECCV (25), 2020)

The 1st Tiny Object Detection Challenge: Methods and Results. - Xuehui Yu; Zhenjun Han; Yuqi Gong; Nan Jan; Jian Zhao 006; Qixiang Ye; Jie Chen 001; Yuan Feng; Bin Zhang; Xiaodi Wang; Ying Xin; Jingwei Liu; et al. (ECCV Workshops (5), 2020)

Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification. - Yue Li; Wenrui Ding; Yanjun Zhu; Yuanjun Huang; Yalong Jiang; Baochang Zhang 001 (ICIP, 2020)

The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. - Chao Fang; Yutao Hu 002; Baochang Zhang 001; David S. Doermann (ICPR Workshops (8), 2020)

Interpretable Attention Guided Network for Fine-Grained Visual Classification. - Zhenhuan Huang; Xiaoyue Duan; Bo Zhao; Jinhu Lü; Baochang Zhang 001 (ICPR Workshops (4), 2020)

Tracker Evaluation for Small Object Tracking. - Chang Liu; Chunlei Liu 001; Linlin Yang; Baochang Zhang 001 (ICPR Workshops (2), 2020)

Channel Pruning via Automatic Structure Search. - Mingbao Lin; Rongrong Ji; Yuxin Zhang 002; Baochang Zhang 001; Yongjian Wu 001; Yonghong Tian 001 (IJCAI, 2020)

CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. - Li'an Zhuo; Baochang Zhang 001; Hanlin Chen; Linlin Yang; Chen Chen 001; Yanjun Zhu; David S. Doermann (IJCAI, 2020)

Tailored Pruning via Rollback Learning. - Xin Xia 005; Wenrui Ding; Li'an Zhuo; Baochang Zhang 001 (NCAA, 2020)

Rotated Binary Neural Network. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Chia-Wen Lin (NeurIPS, 2020)

Improving Backbones Performance by Complex Architectures. - Jinxin Shao; Yutao Hu 002; Zhen Liu; Teli Ma; Baochang Zhang 001 (PRCV (2), 2020)

Orthogonal Features Fusion Network for Anomaly Detection. - Teli Ma; Yizhi Wang; Jinxin Shao; Baochang Zhang 001; David S. Doermann (VCIP, 2020)

Long-Short Graph Memory Network for Skeleton-based Action Recognition. - Junqin Huang; Zhenhuan Huang; Xiang Xiang 001; Xuan Gong; Baochang Zhang 001 (WACV, 2020)

Real-Time Human-UAV Interaction: New Dataset and Two Novel Gesture-Based Interacting Systems. - Mohamed A. Kassab; Mostafa Ahmed; Ali Maher; Baochang Zhang 001 (IEEE Access, 2020)

Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set. - Duona Zhang; Wenrui Ding; Chunhui Liu 004; Hongyu Wang; Baochang Zhang 001 (IEEE Access, 2020)

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. - Li'an Zhuo; Baochang Zhang 001; Hanlin Chen; Linlin Yang; Chen Chen 001; Yanjun Zhu; David S. Doermann (CoRR, 2020)

iffDetector: Inference-aware Feature Filtering for Object Detection. - Mingyuan Mao; Yuxin Tian; Baochang Zhang 001; Qixiang Ye; Wanquan Liu; Guodong Guo; David S. Doermann (CoRR, 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Yuchao Li; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (CoRR, 2020)

A Review of Recent Advances of Binary Neural Networks for Edge Computing. - Wenyu Zhao; Teli Ma; Xuan Gong; Baochang Zhang 001; David S. Doermann (CoRR, 2020)

Circulant Binary Convolutional Networks for Object Recognition. - Chunlei Liu 001; Wenrui Ding; Yuan Hu; Xin Xia 005; Baochang Zhang 001; Jianzhuang Liu; David S. Doermann (IEEE J. Sel. Top. Signal Process., 2020)

Superpixel Labeling Priors and MRF for Aerial Video Segmentation. - Yufeng Wang 004; Wenrui Ding; Baochang Zhang 001; Hongguang Li; Shuo Liu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Aligning Discriminative and Representative Features: An Unsupervised Domain Adaptation Method for Building Damage Assessment. - Yundong Li; Wei Hu; Hongguang Li; Han Dong; Baochang Zhang 001; Qing Tian (IEEE Trans. Image Process., 2020)

Aggregation Signature for Small Object Tracking. - Chunlei Liu 001; Wenrui Ding; Jinyu Yang; Vittorio Murino; Baochang Zhang 001; Jungong Han; Guodong Guo (IEEE Trans. Image Process., 2020)

The Structure Transfer Machine Theory and Applications. - Baochang Zhang 001; Wankou Yang; Ze Wang 008; Lian Zhuo; Jungong Han; Xiantong Zhen (IEEE Trans. Image Process., 2020)

Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. - Qinqin Zhou 001; Bineng Zhong; Xiangyuan Lan; Gan Sun; Yulun Zhang 001; Baochang Zhang 001; Rongrong Ji (IEEE Trans. Image Process., 2020)

Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN. - Qian Huang; Wei Li 032; Baochang Zhang 001; Qingli Li; Ran Tao 003; Nigel H. Lovell (IEEE J. Biomed. Health Informatics, 2020)

CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. - Tianliang Zhang; Zhenjun Han; Huijuan Xu 001; Baochang Zhang 001; Qixiang Ye (IEEE Trans. Intell. Transp. Syst., 2020)

Multi-scale Supervised Attentive Encoder-Decoder Network for Crowd Counting. - Anran Zhang; Xiaolong Jiang; Baochang Zhang 001; Xianbin Cao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

SA-BNN: State-Aware Binary Neural Network. - Chunlei Liu 001; Peng Chen 037; Bohan Zhuang; Chunhua Shen; Baochang Zhang 001; Wenrui Ding (AAAI, 2021)

TRQ: Ternary Neural Networks With Residual Quantization. - Yue Li; Wenrui Ding; Chunlei Liu 001; Baochang Zhang 001; Guodong Guo (AAAI, 2021)

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. - Sheng Xu 007; Junhe Zhao; Yanjing Li; Baochang Zhang 001; Guodong Guo (BMVC, 2021)

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. - Yunhang Shen; Liujuan Cao; Zhiwei Chen; Feihong Lian; Baochang Zhang 001; Chi Su; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (CVPR, 2021)

Layer-Wise Searching for 1-Bit Detectors. - Sheng Xu 007; Junhe Zhao; Jinhu Lu; Baochang Zhang 001; Shumin Han; David S. Doermann (CVPR, 2021)

Aha! Adaptive History-driven Attack for Decision-based Black-box Models. - Jie Li 052; Rongrong Ji; Peixian Chen; Baochang Zhang 001; Xiaopeng Hong; Ruixin Zhang; Shaoxin Li 001; Jilin Li; Feiyue Huang; Yongjian Wu 001 (ICCV, 2021)

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. - Yunhang Shen; Liujuan Cao; Zhiwei Chen; Baochang Zhang 001; Chi Su; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (ICCV, 2021)

IDARTS: Interactive Differentiable Architecture Search. - Song Xue; Runqi Wang; Baochang Zhang 001; Tian Wang 002; Guodong Guo; David S. Doermann (ICCV, 2021)

Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes. - Shuwei Shao; Zhongcai Pei; Weihai Chen; Baochang Zhang 001; Xingming Wu; Dianmin Sun; David S. Doermann (ICRA, 2021)

Uncertainty-aware Binary Neural Networks. - Junhe Zhao; Linlin Yang; Baochang Zhang 001; Guodong Guo; David S. Doermann (IJCAI, 2021)

Dual-stream Network for Visual Recognition. - Mingyuan Mao; Peng Gao 007; Renrui Zhang; Honghui Zheng; Teli Ma; Yan Peng; Errui Ding; Baochang Zhang 001; Shumin Han (NeurIPS, 2021)

Deformable Gabor Feature Networks for Biomedical Image Classification. - Xuan Gong; Xin Xia 005; Wentao Zhu 001; Baochang Zhang 001; David S. Doermann; Li'an Zhuo (WACV, 2021)

Style Consistent Image Generation for Nuclei Instance Segmentation. - Xuan Gong; Shuyan Chen; Baochang Zhang 001; David S. Doermann (WACV, 2021)

Long-range Attention Network for Multi-View Stereo. - Xudong Zhang; Yutao Hu 002; Haochen Wang; Xianbin Cao 001; Baochang Zhang 001 (WACV, 2021)

Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning. - Song Xue; Hanlin Chen; Chunyu Xie; Baochang Zhang 001; Xuan Gong; David S. Doermann (IEEE Comput. Intell. Mag., 2021)

SiMaN: Sign-to-Magnitude Network Binarization. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Fei Chao 001; Mingliang Xu 001; Chia-Wen Lin; Ling Shao 001 (CoRR, 2021)

Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections. - Mingyuan Mao; Baochang Zhang 001; David S. Doermann; Jie Guo; Shumin Han; Yuan Feng; Xiaodi Wang; Errui Ding (CoRR, 2021)

Oriented Object Detection with Transformer. - Teli Ma; Mingyuan Mao; Honghui Zheng; Peng Gao 007; Xiaodi Wang; Shumin Han; Errui Ding; Baochang Zhang 001; David S. Doermann (CoRR, 2021)

Cogradient Descent for Dependable Learning. - Runqi Wang; Baochang Zhang 001; Li'an Zhuo; Qixiang Ye; David S. Doermann (CoRR, 2021)

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. - Bohong Chen 001; Mingbao Lin; Liujuan Cao; Jianzhuang Liu; Qixiang Ye; Baochang Zhang 001; Wei Zeng 006; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

NENet: Monocular Depth Estimation via Neural Ensembles. - Shuwei Shao; Ran Li; Zhongcai Pei; Zhong Liu 005; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (CoRR, 2021)

Associative Adversarial Learning Based on Selective Attack. - Runqi Wang; Xiaoyue Duan; Baochang Zhang 001; Song Xue; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2021)

Binarized Neural Architecture Search for Efficient Object Recognition. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; Rongrong Ji; David S. Doermann; Guodong Guo (Int. J. Comput. Vis., 2021)

Rectified Binary Convolutional Networks with Generative Adversarial Learning. - Chunlei Liu 001; Wenrui Ding; Yuan Hu; Baochang Zhang 001; Jianzhuang Liu; Guodong Guo; David S. Doermann (Int. J. Comput. Vis., 2021)

Context-sensitive zero-shot semantic segmentation model based on meta-learning. - Wenjian Wang; Lijuan Duan; Qing En; Baochang Zhang 001 (Neurocomputing, 2021)

Recent advances of single-object tracking methods: A brief survey. - Yucheng Zhang; Tian Wang 002; Kexin Liu; Baochang Zhang 001; Lei Chen 033 (Neurocomputing, 2021)

Robust and real-time object recognition based on multiple fractal dimension. - Hainan Wang; Baochang Zhang 001; Wei Chen 016 (Multim. Tools Appl., 2021)

Efficient structured pruning based on deep feature stabilization. - Sheng Xu 007; Hanlin Chen; Xuan Gong; Kexin Liu; Jinhu Lü; Baochang Zhang 001 (Neural Comput. Appl., 2021)

MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. - Xiawu Zheng; Rongrong Ji; Yuhang Chen; Qiang Wang 060; Baochang Zhang 001; Jie Chen 001; Qixiang Ye; Feiyue Huang; Yonghong Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning modulation filter networks for weak signal detection in noise. - Duona Zhang; Wenrui Ding; Baochang Zhang 001; Chunhui Liu 004; Jungong Han; David S. Doermann (Pattern Recognit., 2021)

Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System. - Yizhe Luo; Wenrui Ding; Baochang Zhang 001 (IEEE Trans. Cogn. Commun. Netw., 2021)

Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network. - Xiao Song 001; Kai Chen; Xu Li; Jinghan Sun; Baocun Hou; Yong Cui 002; Baochang Zhang 001; Gang Xiong 001; Zilie Wang (IEEE Trans. Intell. Transp. Syst., 2021)

Alignment Enhancement Network for Fine-grained Visual Categorization. - Yutao Hu 002; Xuhui Liu; Baochang Zhang 001; Jungong Han; Xianbin Cao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. - Sicheng Gao; Yutang Feng; Linlin Yang; Xuhui Liu; Zichen Zhu; David S. Doermann; Baochang Zhang 001 (BMVC, 2022)

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. - Teli Ma; Shijie Geng; Mengmeng Wang 005; Sheng Xu 007; Hongsheng Li 001; Baochang Zhang 001; Peng Gao 007; Yu Qiao 001 (BMVC, 2022)

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. - Ge Kan; Jinhu Lü; Tian Wang 002; Baochang Zhang 001; Aichun Zhu; Lei Huang 015; Guodong Guo; Hichem Snoussi (CVPR, 2022)

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. - Yunshan Zhong; Mingbao Lin; Gongrui Nan; Jianzhuang Liu; Baochang Zhang 001; Yonghong Tian 001; Rongrong Ji (CVPR, 2022)

Anti-retroactive Interference for Lifelong Learning. - Runqi Wang; Yuxiang Bao; Baochang Zhang 001; Jianzhuang Liu; Wentao Zhu 001; Guodong Guo (ECCV (24), 2022)

Recurrent Bilinear Optimization for Binary Neural Networks. - Sheng Xu 007; Yanjing Li; Tiancheng Wang; Teli Ma; Baochang Zhang 001; Peng Gao 007; Yu Qiao 001; Jinhu Lü; Guodong Guo (ECCV (24), 2022)

IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. - Sheng Xu 007; Yanjing Li; Bohan Zeng; Teli Ma; Baochang Zhang 001; Xianbin Cao 001; Peng Gao 007; Jinhu Lü (ECCV (11), 2022)

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. - Xingrun Xing; Yalong Jiang; Baochang Zhang 001; Wenrui Ding; Yangguang Li; Hongguang Li; Huan Peng (ICASSP, 2022)

Graph Attention Network for Financial Aspect-based Sentiment Classification with Contrastive Learning. - Zhenhuan Huang; Guansheng Wu; Xiang Qian; Baochang Zhang 001 (INDIN, 2022)

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. - Yanjing Li; Sheng Xu 007; Baochang Zhang 001; Xianbin Cao 001; Peng Gao 007; Guodong Guo (NeurIPS, 2022)

FNeVR: Neural Volume Rendering for Face Animation. - Bohan Zeng; Boyu Liu; Hong Li 016; Xuhui Liu; Jianzhuang Liu; Dapeng Chen; Wei Peng 011; Baochang Zhang 001 (NeurIPS, 2022)

Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. - Xuan Gong; Luckyson Khaidem; Wentao Zhu 001; Baochang Zhang 001; David S. Doermann (WACV, 2022)

Multi-modal data Alzheimer's disease detection based on 3D convolution. - Zhaokai Kong; Mengyi Zhang; Wenjun Zhu; Yang Yi; Tian Wang 002; Baochang Zhang 001 (Biomed. Signal Process. Control., 2022)

A multi-scale unsupervised learning for deformable image registration. - Shuwei Shao; Zhongcai Pei; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (Int. J. Comput. Assist. Radiol. Surg., 2022)

TPSN: Transformer-based multi-Prototype Search Network for few-shot semantic segmentation. - Wenjian Wang; Lijuan Duan; Qing En; Baochang Zhang 001; Fangfang Liang (Comput. Electr. Eng., 2022)

A Malleable Boundary Network for temporal action detection. - Tian Wang 002; Boyao Hou; Zexian Li; Zhe Li; Lei Huang 015; Baochang Zhang 001; Hichem Snoussi (Comput. Electr. Eng., 2022)

Deepwalk-aware graph convolutional networks. - Taisong Jin; Huaqiang Dai; Liujuan Cao; Baochang Zhang 001; Feiyue Huang; Yue Gao 002; Rongrong Ji (Sci. China Inf. Sci., 2022)

TerViT: An Efficient Ternary Vision Transformer. - Sheng Xu 007; Yanjing Li; Teli Ma; Bohan Zeng; Baochang Zhang 001; Peng Gao 007; Jinhu Lv (CoRR, 2022)

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. - Runqi Wang; Linlin Yang; Baochang Zhang 001; Wentao Zhu 001; David S. Doermann; Guodong Guo (CoRR, 2022)

MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition. - Yunhao Wang; Huixin Sun; Xiaodi Wang; Bin Zhang; Chao Li 034; Ying Xin; Baochang Zhang 001; Errui Ding; Shumin Han (CoRR, 2022)

Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning. - Xiaoyue Duan; Guoliang Kang; Runqi Wang; Shumin Han; Song Xue; Tian Wang 002; Baochang Zhang 001 (CoRR, 2022)

A Survey on Human Cancer Categorization Based on Deep Learning. - Ahmad Ibrahim; Hoda K. Mohamed 001; Ali Maher; Baochang Zhang 001 (Frontiers Artif. Intell., 2022)

Towards Compact 1-bit CNNs via Bayesian Learning. - Junhe Zhao; Sheng Xu 007; Baochang Zhang 001; Jiaxin Gu; David S. Doermann; Guodong Guo (Int. J. Comput. Vis., 2022)

Attentive encoder-decoder networks for crowd counting. - Xuhui Liu; Yutao Hu 002; Baochang Zhang 001; Xiantong Zhen; Xiaoyan Luo; Xianbin Cao 001 (Neurocomputing, 2022)

PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition. - Mengyi Zhao; Shuling Dai; Yanjun Zhu; Hao Tang 005; Pan Xie; Yue Li; Chunlei Liu 001; Baochang Zhang 001 (Neurocomputing, 2022)

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. - Liujuan Cao; Huafeng Kuang; Hong Liu 009; Yan Wang 059; Baochang Zhang 001; Feiyue Huang; Yongjian Wu 001; Rongrong Ji (Int. J. Softw. Informatics, 2022)

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue. - Shuwei Shao; Zhongcai Pei; Weihai Chen; Wentao Zhu 001; Xingming Wu; Dianmin Sun; Baochang Zhang 001 (Medical Image Anal., 2022)

Filter pruning via expectation-maximization. - Sheng Xu 007; Yanjing Li; Linlin Yang; Baochang Zhang 001; Dianmin Sun; Kexin Liu (Neural Comput. Appl., 2022)

Weakly Supervised Object Detection Based on Active Learning. - Xiao Wang; Xiang Xiang 001; Baochang Zhang 001; Xuhui Liu; Jianying Zheng; Qinglei Hu (Neural Process. Lett., 2022)

Fast Class-Wise Updating for Online Hashing. - Mingbao Lin; Rongrong Ji; Xiaoshuai Sun; Baochang Zhang 001; Feiyue Huang; Yonghong Tian 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Data-adaptive binary neural networks for efficient object detection and recognition. - Junhe Zhao; Sheng Xu 007; Runqi Wang; Baochang Zhang 001; Guodong Guo; David S. Doermann; Dianmin Sun (Pattern Recognit. Lett., 2022)

Tiny Vehicle Detection for Mid-to-High Altitude UAV Images Based on Visual Attention and Spatial-Temporal Information. - Ruonan Yu; Hongguang Li; Yalong Jiang; Baochang Zhang 001; Yufeng Wang 004 (Sensors, 2022)

Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition. - Tianhuan Huang; Xianye Ben; Chen Gong 002; Baochang Zhang 001; Rui Yan; Qiang Wu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. - Chunlei Liu 001; Wenrui Ding; Peng Chen 037; Bohan Zhuang; Yufeng Wang 004; Yang Zhao 019; Baochang Zhang 001; Yuqi Han (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning. - Huan Chang; Yicheng Chen; Baochang Zhang 001; David S. Doermann (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

An Automatic Method for Epileptic Seizure Detection Based on Deep Metric Learning. - Lijuan Duan; Zeyu Wang; Yuanhua Qiao; Yue Wang; Zhaoyang Huang; Baochang Zhang 001 (IEEE J. Biomed. Health Informatics, 2022)

Feature Calibration Network for Occluded Pedestrian Detection. - Tianliang Zhang; Qixiang Ye; Baochang Zhang 001; Jianzhuang Liu; Xiaopeng Zhang 008; Qi Tian 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Memory Attention Networks for Skeleton-Based Action Recognition. - Ce Li 002; Chunyu Xie; Baochang Zhang 001; Jungong Han; Xiantong Zhen; Jie Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning From Architectural Redundancy: Enhanced Deep Supervision in Deep Multipath Encoder-Decoder Networks. - Ying Luo; Jinhu Lü; Xiaolong Jiang; Baochang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

iffDetector: Inference-Aware Feature Filtering for Object Detection. - Mingyuan Mao; Yuxin Tian; Baochang Zhang 001; Qixiang Ye; Wanquan Liu; David S. Doermann (IEEE Trans. Neural Networks Learn. Syst., 2022)

BiRe-ID: Binary Neural Network for Efficient Person Re-ID. - Sheng Xu 007; Chang Liu; Baochang Zhang 001; Jinhu Lü; Guodong Guo; David S. Doermann (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. - Linrui Gong; Shaohui Lin; Baochang Zhang 001; Yunhang Shen; Ke Li 015; Ruizhi Qiao; Bo Ren 002; Muqing Li; Zhou Yu; Lizhuang Ma (AAAI, 2023)

Resilient Binary Neural Network. - Sheng Xu 007; Yanjing Li; Teli Ma; Mingbao Lin; Hao Dong 003; Baochang Zhang 001; Peng Gao 007; Jinhu Lu (AAAI, 2023)

Hybrid Spatio-Temporal Network for Face Forgery Detection. - Xuhui Liu; Sicheng Gao; Peizhu Zhou; Jianzhuang Liu; Xiaoyan Luo; Luping Zhang; Baochang Zhang 001 (ACPR (3), 2023)

Q-YOLO: Efficient Inference for Real-Time Object Detection. - Mingze Wang; Huixin Sun; Jun Shi; Xuhui Liu; Xianbin Cao 001; Luping Zhang; Baochang Zhang 001 (ACPR (3), 2023)

SGFNeRF: Shape Guided 3D Face Generation in Neural Radiance Fields. - Peizhu Zhou; Xuhui Liu; Baochang Zhang 001 (ACPR (3), 2023)

Implicit Diffusion Models for Continuous Super-Resolution. - Sicheng Gao; Xuhui Liu; Bohan Zeng; Sheng Xu 007; Yanjing Li; Xiaoyan Luo; Jianzhuang Liu; Xiantong Zhen; Baochang Zhang 001 (CVPR, 2023)

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. - Runqi Wang; Xiaoyue Duan; Guoliang Kang; Jianzhuang Liu; Shaohui Lin; Songcen Xu; Jinhu Lv; Baochang Zhang 001 (CVPR, 2023)

Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. - Runqi Wang; Hao Zheng; Xiaoyue Duan; Jianzhuang Liu; Yuning Lu; Tian Wang 002; Songcen Xu; Baochang Zhang 001 (CVPR, 2023)

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. - Sheng Xu 007; Yanjing Li; Mingbao Lin; Peng Gao 007; Guodong Guo; Jinhu Lü; Baochang Zhang 001 (CVPR, 2023)

Face Animation with an Attribute-Guided Diffusion Model. - Bohan Zeng; Xuhui Liu; Sicheng Gao; Boyu Liu; Hong Li 016; Jianzhuang Liu; Baochang Zhang 001 (CVPR Workshops, 2023)

Knowledge Graph Embedding Method Based on Entity Metric Learning. - Meng He 009; Lijuan Duan; Baochang Zhang 001; Shengwen Han (ICCAI, 2023)

Representation Disparity-aware Distillation for 3D Object Detection. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Jihao Yin; Baochang Zhang 001; Xianbin Cao 001 (ICCV, 2023)

CCMB: A Large-scale Chinese Cross-modal Benchmark. - Chunyu Xie; Heng Cai; Jincheng Li 002; Fanjing Kong; Xiaoyu Wu; Jianfei Song; Henrique Morimitsu; Lin Yao 003; Dexin Wang; Xiangzheng Zhang; Dawei Leng; Baochang Zhang 001; et al. (ACM Multimedia, 2023)

Q-DM: An Efficient Low-bit Quantized Diffusion Model. - Yanjing Li; Sheng Xu 007; Xianbin Cao 001; Xiao Sun; Baochang Zhang 001 (NeurIPS, 2023)

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation. - Jie Guo; Qimeng Wang; Yan Gao 017; Xiaolong Jiang; Shaohui Lin; Baochang Zhang 001 (PRCV (12), 2023)

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. - Chong Huang; Shaohui Lin; Yan Zhang 109; Ke Li 015; Baochang Zhang 001 (PRCV (8), 2023)

Data enhancement based on M2-Unet for liver segmentation in Computed Tomography. - Zhaokai Kong; Mengyi Zhang; Wenjun Zhu; Yang Yi; Tian Wang 002; Baochang Zhang 001 (Biomed. Signal Process. Control., 2023)

Confidence-driven Bounding Box Localization for Small Object Detection. - Huixin Sun; Baochang Zhang 001; Yanjing Li; Xianbin Cao 001 (CoRR, 2023)

MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation. - Jie Guo; Qimeng Wang; Yan Gao 017; Xiaolong Jiang; Xu Tang; Yao Hu 002; Baochang Zhang 001 (CoRR, 2023)

Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models. - Yuguang Yang 007; Yiming Wang; Shupeng Geng; Runqi Wang; Yimi Wang; Sheng Wu; Baochang Zhang 001 (CoRR, 2023)

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. - Shaohui Lin; Wenxuan Huang 001; Jiao Xie; Baochang Zhang 001; Yunhang Shen; Zhou Yu; Jungong Han; David S. Doermann (CoRR, 2023)

Q-YOLO: Efficient Inference for Real-time Object Detection. - Mingze Wang; Huixin Sun; Jun Shi; Xuhui Liu; Baochang Zhang 001; Xianbin Cao 001 (CoRR, 2023)

Heterogeneous Generative Knowledge Distillation with Masked Image Modeling. - Ziming Wang; Shumin Han; Xiaodi Wang; Jing Hao; Xianbin Cao 001; Baochang Zhang 001 (CoRR, 2023)

IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts. - Bohan Zeng; Shanglin Li; Yutang Feng; Hong Li 016; Sicheng Gao; Jiaming Liu; Huaxia Li; Xu Tang; Jianzhuang Liu; Baochang Zhang 001 (CoRR, 2023)

LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation. - Yuxiang Bao; Di Qiu; Guoliang Kang; Baochang Zhang 001; Bo Jin; Kaiye Wang; Pengfei Yan (CoRR, 2023)

ZONE: Zero-Shot Instruction-Guided Local Editing. - Shanglin Li; Bohan Zeng; Yutang Feng; Sicheng Gao; Xuhui Liu; Jiaming Liu; Li Lin; Xu Tang; Yao Hu 002; Jianzhuang Liu; Baochang Zhang 001 (CoRR, 2023)

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. - Yanjing Li; Sheng Xu 007; Xianbin Cao 001; Li'an Zhuo; Baochang Zhang 001; Tian Wang 002; Guodong Guo (Int. J. Comput. Vis., 2023)

Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. - Runqi Wang; Zhen Liu; Baochang Zhang 001; Guodong Guo; David S. Doermann (Int. J. Comput. Vis., 2023)

Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One. - Shuwei Shao; Ran Li; Zhongcai Pei; Zhong Liu 005; Weihai Chen; Wentao Zhu 001; Xingming Wu; Baochang Zhang 001 (IEEE Trans. Multim., 2023)

TASTA: Text-Assisted Spatial and Temporal Attention Network for Video Question Answering. - Tian Wang 002; Boyao Hou; Jiakun Li; Peng Shi; Baochang Zhang 001; Hichem Snoussi (Adv. Intell. Syst., 2023)

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. - Xiawu Zheng; Chenyi Yang; Shaokun Zhang; Yan Wang 059; Baochang Zhang 001; Yongjian Wu 001; Yunsheng Wu; Ling Shao 001; Rongrong Ji (Int. J. Comput. Vis., 2023)

SiMaN: Sign-to-Magnitude Network Binarization. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Fei Chao 001; Chia-Wen Lin; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication. - Duona Zhang; Yuanyao Lu; Yundong Li; Wenrui Ding; Baochang Zhang 001; Jing Xiao (Pattern Recognit., 2023)

Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive Anomaly Detection. - Xin Huang; Yutao Hu 002; Xiaoyan Luo; Jungong Han; Baochang Zhang 001; Xianbin Cao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multi-receptive field spatiotemporal network for action recognition. - Mu Nie; Sen Yang; Zhenhua Wang; Baochang Zhang 001; Huimin Lu 001; Wankou Yang (Int. J. Mach. Learn. Cybern., 2023)

High-Order Convolutional Attention Networks for Automatic Modulation Classification in Communication. - Duona Zhang; Yuanyao Lu; Yundong Li; Wenrui Ding; Baochang Zhang 001 (IEEE Trans. Wirel. Commun., 2023)

Bandit Interpretability of Deep Models via Confidence Selection. - Xiaoyue Duan; Hong Li 016; Panpan Wang; Tiancheng Wang; Boyu Liu; Baochang Zhang 001 (Neurocomputing, 2023)

Anti-Bandit for Neural Architecture Search. - Runqi Wang; Linlin Yang; Hanlin Chen; Wei Wang 016; David S. Doermann; Baochang Zhang 001 (Int. J. Comput. Vis., 2023)

Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction. - Tian Wang 002; Jiahui Chen; Jinhu Lü; Kexin Liu; Aichun Zhu; Hichem Snoussi; Baochang Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural Networks with Model Compression - Baochang Zhang 001; Tiancheng Wang; Sheng Xu 007; David S. Doermann (Springer, 2024)

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. - Xiaoyue Duan; Shuhao Cui; Guoliang Kang; Baochang Zhang 001; Zhengcong Fei; Mingyuan Fan 002; Junshi Huang (AAAI, 2024)

Federated Learning via Input-Output Collaborative Distillation. - Xuan Gong; Shanglin Li; Yuxiang Bao; Barry Yao; Yawen Huang; Ziyan Wu 001; Baochang Zhang 001; Yefeng Zheng 001; David S. Doermann (AAAI, 2024)

Bi-ViT: Pushing the Limit of Vision Transformer Quantization. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Xianbin Cao 001; Chuanjian Liu; Xiao Sun; Baochang Zhang 001 (AAAI, 2024)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. - Runqi Wang; Huixin Sun; Linlin Yang; Shaohui Lin; Chuanjian Liu; Yan Gao 017; Yao Hu 002; Baochang Zhang 001 (AAAI, 2024)

Controllable Mind Visual Diffusion Model. - Bohan Zeng; Shanglin Li; Xuhui Liu; Sicheng Gao; Xiaolong Jiang; Xu Tang; Yao Hu 002; Jianzhuang Liu; Baochang Zhang 001 (AAAI, 2024)

A General and Efficient Training for Transformer via Token Expansion. - Wenxuan Huang 001; Yunhang Shen; Jiao Xie; Baochang Zhang 001; Gaoqi He; Ke Li 015; Xing Sun 001; Shaohui Lin (CVPR, 2024)

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. - Hong Li 016; Yutang Feng; Song Xue; Xuhui Liu; Bohan Zeng; Shanglin Li; Boyu Liu; Jianzhuang Liu; Shumin Han; Baochang Zhang 001 (CVPR, 2024)

ZONE: Zero-Shot Instruction-Guided Local Editing. - Shanglin Li; Bohan Zeng; Yutang Feng; Sicheng Gao; Xiuhui Liu; Jiaming Liu; Lin Li; Xu Tang; Yao Hu 002; Jianzhuang Liu; Baochang Zhang 001 (CVPR, 2024)

LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces. - Xuhui Liu; Bohan Zeng; Sicheng Gao; Shanglin Li; Yutang Feng; Hong Li 016; Boyu Liu; Jianzhuang Liu; Baochang Zhang 001 (CVPR Workshops, 2024)

WAVE: Warping DDIM Inversion Features for Zero-Shot Text-to-Video Editing. - Yutang Feng; Sicheng Gao; Yuxiang Bao; Xiaodi Wang; Shumin Han; Juan Zhang; Baochang Zhang 001; Angela Yao (ECCV (76), 2024)

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. - Xuhui Liu; Zhi Qiao; Runkun Liu; Hong Li 016; Juan Zhang; Xiantong Zhen; Zhen Qian; Baochang Zhang 001 (ECCV (43), 2024)

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. - Sheng Xu 007; Mingze Wang; Yanjing Li; Mingbao Lin; Baochang Zhang 001; David S. Doermann; Xiao Sun (ICML, 2024)

ROI-Aware Dynamic Network Quantization for Neural Video Compression. - Jiamin Liu; Baochang Zhang 001; Xianbin Cao 001 (ICPR (5), 2024)

CLIP in Mirror: Disentangling text from visual images through reflection. - Tiancheng Wang; Yuguang Yang 007; Linlin Yang; Shaohui Lin; Juan Zhang; Guodong Guo; Baochang Zhang 001 (NeurIPS, 2024)

DrawingNet for Communication Tower Drawings Recognition. - Xing Ning; Bo Zhao; Bin Huang; Mengyuan Zhu; Qian Zhang; Baochang Zhang 001 (IEEE Access, 2024)

Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization. - Junbiao Pang; Tianyang Cai; Baochang Zhang 001; Jiaqi Wu; Ye Tao (CoRR, 2024)

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. - Mingze Wang; Keyan Chen; Lili Su; Cilin Yan; Sheng Xu 007; Haotian Zhang; Pengcheng Yuan; Xiaolong Jiang; Baochang Zhang 001 (CoRR, 2024)

Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization. - Jiaxin Deng; Junbiao Pang; Baochang Zhang 001; Tian Wang 002 (CoRR, 2024)

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification. - Jiaqi Wu; Junbiao Pang; Baochang Zhang 001; Qingming Huang (CoRR, 2024)

F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis. - Xiaotong Guo; Huijie Zhao; Shuwei Shao; Xudong Li; Baochang Zhang 001 (CoRR, 2024)

Fusion-Mamba for Cross-modality Object Detection. - Wenhao Dong; Haodong Zhu; Shaohui Lin; Xiaoyan Luo; Yunhang Shen; Xuhui Liu; Juan Zhang; Guodong Guo; Baochang Zhang 001 (CoRR, 2024)

DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration. - Yuguang Yang 007; Runtang Guo; Sheng Wu; Yimi Wang; Linlin Yang; Bo Fan; Jilong Zhong; Juan Zhang; Baochang Zhang 001 (CoRR, 2024)

A Large Medical Model based on Visual Physiological Monitoring for Public Health. - Bin Huang; Changchen Zhao; Zimeng Liu; Shenda Hong; Baochang Zhang 001; Wenjin Wang; Hui Liu (CoRR, 2024)

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. - Jiaxin Deng; Junbiao Pang; Baochang Zhang 001 (CoRR, 2024)

Bilateral Sharpness-Aware Minimization for Flatter Minima. - Jiaxin Deng; Junbiao Pang; Baochang Zhang 001; Qingming Huang (CoRR, 2024)

P4Q: Learning to Prompt for Quantization in Visual-language Models. - Huixin Sun; Runqi Wang; Yanjing Li; Xianbin Cao 001; Xiaolong Jiang; Yao Hu 002; Baochang Zhang 001 (CoRR, 2024)

CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset. - Zhiming Wang; Mingze Wang; Sheng Xu 007; Yanjing Li; Baochang Zhang 001 (CoRR, 2024)

F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis. - Xiaotong Guo; Huijie Zhao; Shuwei Shao; Xudong Li; Baochang Zhang 001 (Eng. Appl. Artif. Intell., 2024)

SPDepth: Enhancing Self-Supervised Indoor Monocular Depth Estimation via Self-Propagation. - Xiaotong Guo; Huijie Zhao; Shuwei Shao; Xudong Li; Baochang Zhang 001; Na Li 014 (Future Internet, 2024)

MAFormer: A transformer network with multi-scale attention fusion for visual recognition. - Huixin Sun; Yunhao Wang; Xiaodi Wang; Bin Zhang; Ying Xin; Baochang Zhang 001; Xianbin Cao 001; Errui Ding; Shumin Han (Neurocomputing, 2024)

SegCFT: Context-aware Fourier Transform for efficient semantic segmentation. - Yinqi Zhang; Lingfu Jiang; Fuhai Chen; Jiao Xie; Baochang Zhang 001; Gaoqi He; Shaohui Lin (Neurocomputing, 2024)

Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. - Mengtian Li; Shaohui Lin; Zihan Wang; Yunhang Shen; Baochang Zhang 001; Lizhuang Ma (Pattern Recognit., 2024)

RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. - Mingze Wang; Lili Su; Cilin Yan; Sheng Xu 007; Pengcheng Yuan; Xiaolong Jiang; Baochang Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Target-Driven Visual Navigation by Using Causal Intervention. - Xinzhou Zhao; Tian Wang 002; Yanjing Li; Baochang Zhang 001; Kexin Liu; Deyuan Liu; Chuanyun Wang; Hichem Snoussi (IEEE Trans. Intell. Veh., 2024)

A Multihead Attention Self-Supervised Representation Model for Industrial Sensors Anomaly Detection. - Yiqun Qiao; Jinhu Lü; Tian Wang 002; Kexin Liu; Baochang Zhang 001; Hichem Snoussi (IEEE Trans. Ind. Informatics, 2024)

SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking. - Xiaotong Guo; Huijie Zhao; Shuwei Shao; Xudong Li; Baochang Zhang 001; Na Li 014 (Remote. Sens., 2024)

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. - Jiaxin Deng; Junbiao Pang; Baochang Zhang 001; Guodong Guo (AAAI, 2025)

Dynamic Clustering Convolutional Neural Network. - Tanzhe Li; Baochang Zhang 001; Jiayi Lyu; Xiawu Zheng; Guodong Guo; Taisong Jin (AAAI, 2025)

Graph Structure Refinement with Energy-based Contrastive Learning. - Xianlin Zeng; Yufeng Wang 004; Yuqi Sun; Guodong Guo; Wenrui Ding; Baochang Zhang 001 (AAAI, 2025)

SET: Spectral Enhancement for Tiny Object Detection. - Huixin Sun; Runqi Wang; Yanjing Li; Linlin Yang; Shaohui Lin; Xianbin Cao 001; Baochang Zhang 001 (CVPR, 2025)

DFM: Differentiable Feature Matching for Anomaly Detection. - Sheng Wu; Yimi Wang; Xudong Liu; Yuguang Yang 007; Runqi Wang; Guodong Guo; David S. Doermann; Baochang Zhang 001 (CVPR, 2025)

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection. - Yuguang Yang 007; Tongfei Chen; Haoyu Huang; Linlin Yang; Chunyu Xie; Dawei Leng; Xianbin Cao 001; Baochang Zhang 001 (ICLR, 2025)

Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training. - Boyu Liu; Haoyu Huang; Linlin Yang; Yanjing Li; Guodong Guo; Xianbin Cao 001; Baochang Zhang 001 (ICLR, 2025)

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. - Bohan Zeng; Shanglin Li; Yutang Feng; Ling Yang 006; Juan Zhang; Hong Li 016; Jiaming Liu; Conghui He; Wentao Zhang 001; Jianzhuang Liu; Baochang Zhang 001; Shuicheng Yan (ICLR, 2025)

M3DP: Optimizing 2D vision tasks with minimal 3D object information. - Ziming Wang; Yanjing Li; Linlin Yang; Xinkai Liang; Xianbin Cao 001; Qi Wang 009; Baochang Zhang 001 (Neurocomputing, 2025)

Enhancing multi-task performance through associative adversarial learning based on selective attacks. - Zhiming Wang; Yuanglong Yang; Bilang Zhang; Runqi Wang; Liping Jing; Baochang Zhang 001 (Neurocomputing, 2025)

Calibrated gradient descent of convolutional neural networks for embodied visual recognition. - Zhiming Wang; Sheng Xu 007; Li'an Zhuo; Baochang Zhang 001; Yanjing Li; Zhenqian Wang; Guodong Guo (Image Vis. Comput., 2025)

A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. - Zhangxi Xiong; Wei Li 032; Hanzheng Wang; Baochang Zhang 001; James E. Fowler (IEEE Trans. Computational Imaging, 2025)

Normalizing Batch Normalization for Long-Tailed Recognition. - Yuxiang Bao; Guoliang Kang; Linlin Yang; Xiaoyue Duan; Bo Zhao; Baochang Zhang 001 (IEEE Trans. Image Process., 2025)

DAMamba: Vision State Space Model with Dynamic Adaptive Scan. - Tanzhe Li; Caoshuo Li; Jiayi Lyu; Hongjuan Pei; Baochang Zhang 001; Taisong Jin; Rongrong Ji (CoRR, 2025)

Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization. - Yutao Hu 002; Xiaolong Jiang; Xuhui Liu; Xiaoyan Luo; Yao Hu 002; Xianbin Cao 001; Baochang Zhang 001; Jun Zhang 007 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Modulated Convolutional Networks. - Baochang Zhang 001; Runqi Wang; Xiaodi Wang; Jungong Han; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

Learning Accurate Low-bit Quantization towards Efficient Computational Imaging. - Sheng Xu 007; Yanjing Li; Chuanjian Liu; Baochang Zhang 001 (Int. J. Comput. Vis., 2025)

PRF-Net: A Progressive Remote Sensing Image Registration and Fusion Network. - Zhangxi Xiong; Wei Li 032; Xiaobin Zhao; Baochang Zhang 001; Ran Tao 003; Qian Du 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction. - Changbai Li; Haodong Zhu; Hanlin Chen; Juan Zhang; Tongfei Chen; Shuo Yang; Shuwei Shao; Wenhao Dong; Baochang Zhang 001 (CoRR, 2025)

Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation. - Jiaqi Shi; Jin Xiao; Xiaoguang Hu; Boyang Song; Hao Jiang; Tianyou Chen; Baochang Zhang 001 (CoRR, 2025)

Light of Normals: Unified Feature Representation for Universal Photometric Stereo. - Hong Li 016; Houyuan Chen; Chongjie Ye; Zhaoxi Chen 009; Bohan Li; Shaocong Xu; Xianda Guo; Xuhui Liu; Yikai Wang; Baochang Zhang 001; Satoshi Ikehata; Boxin Shi; et al. (CoRR, 2025)

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. - Qingcheng Zhu; Yangyang Ren; Linlin Yang; Mingbao Lin; Yanjing Li; Sheng Xu 007; Zichao Feng; Haodong Zhu; Yuguang Yang 007; Juan Zhang; Runqi Wang; Baochang Zhang 001 (CoRR, 2025)

WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection. - Haodong Zhu; Wenhao Dong; Linlin Yang; Hong Li 016; Yuguang Yang 007; Yangyang Ren; Qingcheng Zhu; Zichao Feng; Changbai Li; Shaohui Lin; Runqi Wang; Xiaoyan Luo; et al. (CoRR, 2025)

EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. - Jiaxin Deng; Qingcheng Zhu; Junbiao Pang; Linlin Yang; Zhongqian Fu; Baochang Zhang 001 (CoRR, 2025)

Surf3R: Rapid Surface Reconstruction from Sparse RGB Views in Seconds. - Haodong Zhu; Changbai Li; Yangyang Ren; Zichao Feng; Xuhui Liu; Hanlin Chen; Xiantong Zhen; Baochang Zhang 001 (CoRR, 2025)

D3T: Dual-Domain Diffusion Transformer in Triplanar Latent Space for 3D Incomplete-View CT Reconstruction. - Xuhui Liu; Hong Li 016; Zhi Qiao; Yawen Huang; Xi Liu; Juan Zhang; Zhen Qian; Xiantong Zhen; Baochang Zhang 001 (Int. J. Comput. Vis., 2025)

Efficient Architecture Search for Remaining Useful Life Prediction Using Rainflow Counting Features. - Pengli Mao; Yan Lin; Lin Li; Baochang Zhang 001 (J. Syst. Sci. Complex., 2025)