Baochang Zhang

According to our database, Baochang Zhang authored at least 336 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Na Li

Remote. Sens., June, 2024

A Multihead Attention Self-Supervised Representation Model for Industrial Sensors Anomaly Detection.

Yiqun Qiao, Jinhu Lü, Tian Wang, Kexin Liu, Baochang Zhang, Hichem Snoussi

IEEE Trans. Ind. Informatics, February, 2024

Target-Driven Visual Navigation by Using Causal Intervention.

Xinzhou Zhao, Tian Wang, Yanjing Li, Baochang Zhang, Kexin Liu, Deyuan Liu, Chuanyun Wang, Hichem Snoussi

IEEE Trans. Intell. Veh., January, 2024

RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model.

Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang

IEEE Trans. Geosci. Remote. Sens., 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, Lizhuang Ma

Pattern Recognit., 2024

SegCFT: Context-aware Fourier Transform for efficient semantic segmentation.

Yinqi Zhang, Lingfu Jiang, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin

Neurocomputing, 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, Xianbin Cao, Errui Ding, Shumin Han

Neurocomputing, 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

Eng. Appl. Artif. Intell., 2024

Bilateral Sharpness-Aware Minimization for Flatter Minima.

Jiaxin Deng, Junbiao Pang, Baochang Zhang, Qingming Huang

CoRR, 2024

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization.

Jiaxin Deng, Junbiao Pang, Baochang Zhang

CoRR, 2024

A Large Medical Model based on Visual Physiological Monitoring for Public Health.

Bin Huang, Changchen Zhao, Zimeng Liu, Shenda Hong, Baochang Zhang, Wenjin Wang, Hui Liu

CoRR, 2024

DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration.

Yuguang Yang, Runtang Guo, Sheng Wu, Yimi Wang, Linlin Yang, Bo Fan, Jilong Zhong, Juan Zhang, Baochang Zhang

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

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

CoRR, 2024

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification.

Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang

CoRR, 2024

Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization.

Jiaxin Deng, Junbiao Pang, Baochang Zhang, Tian Wang

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, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang

CoRR, 2024

Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization.

Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao

CoRR, 2024

DrawingNet for Communication Tower Drawings Recognition.

Xing Ning, Bo Zhao, Bin Huang, Mengyuan Zhu, Qian Zhang, Baochang Zhang

IEEE Access, 2024

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement.

Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays.

Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang

Proceedings of the Computer Vision - ECCV 2024, 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, Angela Yao

Proceedings of the Computer Vision - ECCV 2024, 2024

LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces.

Xuhui Liu, Bohan Zeng, Sicheng Gao, Shanglin Li, Yutang Feng, Hong Li, Boyu Liu, Jianzhuang Liu, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Jianzhuang Liu, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation.

Hong Li, Yutang Feng, Song Xue, Xuhui Liu, Bohan Zeng, Shanglin Li, Boyu Liu, Jianzhuang Liu, Shumin Han, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A General and Efficient Training for Transformer via Token Expansion.

Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Controllable Mind Visual Diffusion Model.

Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Bi-ViT: Pushing the Limit of Vision Transformer Quantization.

Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Learning via Input-Output Collaborative Distillation.

Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tuning-Free Inversion-Enhanced Control for Consistent Image Editing.

Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Neural Networks with Model Compression

Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann

Springer, ISBN: 978-981-99-5067-6, 2024

2023

Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction.

Tian Wang, Jiahui Chen, Jinhu Lü, Kexin Liu, Aichun Zhu, Hichem Snoussi, Baochang Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Anti-Bandit for Neural Architecture Search.

Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang

Int. J. Comput. Vis., October, 2023

Bandit Interpretability of Deep Models via Confidence Selection.

Xiaoyue Duan, Hong Li, Panpan Wang, Tiancheng Wang, Boyu Liu, Baochang Zhang

Neurocomputing, August, 2023

High-Order Convolutional Attention Networks for Automatic Modulation Classification in Communication.

Duona Zhang, Yuanyao Lu, Yundong Li, Wenrui Ding, Baochang Zhang

IEEE Trans. Wirel. Commun., July, 2023

Multi-receptive field spatiotemporal network for action recognition.

Mu Nie, Sen Yang, Zhenhua Wang, Baochang Zhang, Huimin Lu, Wankou Yang

Int. J. Mach. Learn. Cybern., July, 2023

Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive Anomaly Detection.

Xin Huang, Yutao Hu, Xiaoyan Luo, Jungong Han, Baochang Zhang, Xianbin Cao

IEEE Trans. Circuits Syst. Video Technol., June, 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, Jing Xiao

Pattern Recognit., May, 2023

SiMaN: Sign-to-Magnitude Network Binarization.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.

Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji

Int. J. Comput. Vis., May, 2023

TASTA: Text-Assisted Spatial and Temporal Attention Network for Video Question Answering.

Tian Wang, Boyao Hou, Jiakun Li, Peng Shi, Baochang Zhang, Hichem Snoussi

Adv. Intell. Syst., April, 2023

Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

IEEE Trans. Multim., 2023

Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning.

Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann

Int. J. Comput. Vis., 2023

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs.

Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo

Int. J. Comput. Vis., 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, Jianzhuang Liu, Baochang Zhang

CoRR, 2023

LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation.

Yuxiang Bao, Di Qiu, Guoliang Kang, Baochang Zhang, Bo Jin, Kaiye Wang, Pengfei Yan

CoRR, 2023

IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts.

Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, Baochang Zhang

CoRR, 2023

Heterogeneous Generative Knowledge Distillation with Masked Image Modeling.

Ziming Wang, Shumin Han, Xiaodi Wang, Jing Hao, Xianbin Cao, Baochang Zhang

CoRR, 2023

Q-YOLO: Efficient Inference for Real-time Object Detection.

Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Baochang Zhang, Xianbin Cao

CoRR, 2023

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler.

Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann

CoRR, 2023

Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models.

Yuguang Yang, Yiming Wang, Shupeng Geng, Runqi Wang, Yimi Wang, Sheng Wu, Baochang Zhang

CoRR, 2023

MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Baochang Zhang

CoRR, 2023

Confidence-driven Bounding Box Localization for Small Object Detection.

Huixin Sun, Baochang Zhang, Yanjing Li, Xianbin Cao

CoRR, 2023

Data enhancement based on M2-Unet for liver segmentation in Computed Tomography.

Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, Yang Yi, Tian Wang, Baochang Zhang

Biomed. Signal Process. Control., 2023

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation.

Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Q-DM: An Efficient Low-bit Quantized Diffusion Model.

Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CCMB: A Large-scale Chinese Cross-modal Benchmark.

Chunyu Xie, Heng Cai, Jincheng Li, Fanjing Kong, Xiaoyu Wu, Jianfei Song, Henrique Morimitsu, Lin Yao, Dexin Wang, Xiangzheng Zhang, Dawei Leng, Baochang Zhang, Xiangyang Ji, Yafeng Deng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Representation Disparity-aware Distillation for 3D Object Detection.

Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Knowledge Graph Embedding Method Based on Entity Metric Learning.

Meng He, Lijuan Duan, Baochang Zhang, Shengwen Han

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Face Animation with an Attribute-Guided Diffusion Model.

Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer.

Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Songcen Xu, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Implicit Diffusion Models for Continuous Super-Resolution.

Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SGFNeRF: Shape Guided 3D Face Generation in Neural Radiance Fields.

Peizhu Zhou, Xuhui Liu, Baochang Zhang

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Q-YOLO: Efficient Inference for Real-Time Object Detection.

Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Xianbin Cao, Luping Zhang, Baochang Zhang

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Hybrid Spatio-Temporal Network for Face Forgery Detection.

Xuhui Liu, Sicheng Gao, Peizhu Zhou, Jianzhuang Liu, Xiaoyan Luo, Luping Zhang, Baochang Zhang

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Resilient Binary Neural Network.

Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation.

Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BiRe-ID: Binary Neural Network for Efficient Person Re-ID.

Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann

ACM Trans. Multim. Comput. Commun. Appl., 2022

iffDetector: Inference-Aware Feature Filtering for Object Detection.

Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, David S. Doermann

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

IEEE Trans. Neural Networks Learn. Syst., 2022

Memory Attention Networks for Skeleton-Based Action Recognition.

Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Feature Calibration Network for Occluded Pedestrian Detection.

Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian

IEEE Trans. Intell. Transp. Syst., 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

IEEE J. Biomed. Health Informatics, 2022

Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning.

Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann

IEEE Trans. Emerg. Top. Comput. Intell., 2022

RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.

Chunlei Liu, Wenrui Ding, Peng Chen, Bohan Zhuang, Yufeng Wang, Yang Zhao, Baochang Zhang, Yuqi Han

IEEE Trans. Circuits Syst. Video Technol., 2022

Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition.

Tianhuan Huang, Xianye Ben, Chen Gong, Baochang Zhang, Rui Yan, Qiang Wu

IEEE Trans. Circuits Syst. Video Technol., 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, Yufeng Wang

Sensors, 2022

Data-adaptive binary neural networks for efficient object detection and recognition.

Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun

Pattern Recognit. Lett., 2022

Fast Class-Wise Updating for Online Hashing.

Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Weakly Supervised Object Detection Based on Active Learning.

Xiao Wang, Xiang Xiang, Baochang Zhang, Xuhui Liu, Jianying Zheng, Qinglei Hu

Neural Process. Lett., 2022

Filter pruning via expectation-maximization.

Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu

Neural Comput. Appl., 2022

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang

Medical Image Anal., 2022

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint.

Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji

Int. J. Softw. Informatics, 2022

PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition.

Mengyi Zhao, Shuling Dai, Yanjun Zhu, Hao Tang, Pan Xie, Yue Li, Chunlei Liu, Baochang Zhang

Neurocomputing, 2022

Attentive encoder-decoder networks for crowd counting.

Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao

Neurocomputing, 2022

Towards Compact 1-bit CNNs via Bayesian Learning.

Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo

Int. J. Comput. Vis., 2022

A Survey on Human Cancer Categorization Based on Deep Learning.

Ahmad Ibrahim, Hoda K. Mohamed, Ali Maher, Baochang Zhang

Frontiers Artif. Intell., 2022

Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning.

Xiaoyue Duan, Guoliang Kang, Runqi Wang, Shumin Han, Song Xue, Tian Wang, Baochang Zhang

CoRR, 2022

MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition.

Yunhao Wang, Huixin Sun, Xiaodi Wang, Bin Zhang, Chao Li, Ying Xin, Baochang Zhang, Errui Ding, Shumin Han

CoRR, 2022

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation.

Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2022

TerViT: An Efficient Ternary Vision Transformer.

Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv

CoRR, 2022

Deepwalk-aware graph convolutional networks.

Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji

Sci. China Inf. Sci., 2022

A Malleable Boundary Network for temporal action detection.

Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi

Comput. Electr. Eng., 2022

TPSN: Transformer-based multi-Prototype Search Network for few-shot semantic segmentation.

Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang, Fangfang Liang

Comput. Electr. Eng., 2022

A multi-scale unsupervised learning for deformable image registration.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

Int. J. Comput. Assist. Radiol. Surg., 2022

Multi-modal data Alzheimer's disease detection based on 3D convolution.

Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, Yang Yi, Tian Wang, Baochang Zhang

Biomed. Signal Process. Control., 2022

Uncertainty Learning towards Unsupervised Deformable Medical Image Registration.

Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FNeVR: Neural Volume Rendering for Face Animation.

Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer.

Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Attention Network for Financial Aspect-based Sentiment Classification with Contrastive Learning.

Zhenhuan Huang, Guansheng Wu, Xiang Qian, Baochang Zhang

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering.

Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng

Proceedings of the IEEE International Conference on Acoustics, 2022

IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors.

Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü

Proceedings of the Computer Vision - ECCV 2022, 2022

Recurrent Bilinear Optimization for Binary Neural Networks.

Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo

Proceedings of the Computer Vision, 2022

Anti-retroactive Interference for Lifelong Learning.

Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo

Proceedings of the Computer Vision, 2022

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization.

Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models.

Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition.

Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Alignment Enhancement Network for Fine-grained Visual Categorization.

Yutao Hu, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao

ACM Trans. Multim. Comput. Commun. Appl., 2021

Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network.

Xiao Song, Kai Chen, Xu Li, Jinghan Sun, Baocun Hou, Yong Cui, Baochang Zhang, Gang Xiong, Zilie Wang

IEEE Trans. Intell. Transp. Syst., 2021

Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System.

Yizhe Luo, Wenrui Ding, Baochang Zhang

IEEE Trans. Cogn. Commun. Netw., 2021

Learning modulation filter networks for weak signal detection in noise.

Duona Zhang, Wenrui Ding, Baochang Zhang, Chunhui Liu, Jungong Han, David S. Doermann

Pattern Recognit., 2021

MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.

Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Efficient structured pruning based on deep feature stabilization.

Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang

Neural Comput. Appl., 2021

Robust and real-time object recognition based on multiple fractal dimension.

Hainan Wang, Baochang Zhang, Wei Chen

Multim. Tools Appl., 2021

Recent advances of single-object tracking methods: A brief survey.

Yucheng Zhang, Tian Wang, Kexin Liu, Baochang Zhang, Lei Chen

Neurocomputing, 2021

Context-sensitive zero-shot semantic segmentation model based on meta-learning.

Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang

Neurocomputing, 2021

Rectified Binary Convolutional Networks with Generative Adversarial Learning.

Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David S. Doermann

Int. J. Comput. Vis., 2021

Binarized Neural Architecture Search for Efficient Object Recognition.

Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo

Int. J. Comput. Vis., 2021

Associative Adversarial Learning Based on Selective Attack.

Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2021

NENet: Monocular Depth Estimation via Neural Ensembles.

Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang

CoRR, 2021

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.

Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji

CoRR, 2021

Cogradient Descent for Dependable Learning.

Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann

CoRR, 2021

Oriented Object Detection with Transformer.

Teli Ma, Mingyuan Mao, Honghui Zheng, Peng Gao, Xiaodi Wang, Shumin Han, Errui Ding, Baochang Zhang, David S. Doermann

CoRR, 2021

Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections.

Mingyuan Mao, Baochang Zhang, David S. Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding

CoRR, 2021

SiMaN: Sign-to-Magnitude Network Binarization.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao

CoRR, 2021

Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning.

Song Xue, Hanlin Chen, Chunyu Xie, Baochang Zhang, Xuan Gong, David S. Doermann

IEEE Comput. Intell. Mag., 2021

Long-range Attention Network for Multi-View Stereo.

Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Style Consistent Image Generation for Nuclei Instance Segmentation.

Xuan Gong, Shuyan Chen, Baochang Zhang, David S. Doermann

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Deformable Gabor Feature Networks for Biomedical Image Classification.

Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Dual-stream Network for Visual Recognition.

Mingyuan Mao, Peng Gao, Renrui Zhang, Honghui Zheng, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, Shumin Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-aware Binary Neural Networks.

Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes.

Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

IDARTS: Interactive Differentiable Architecture Search.

Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation.

Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Aha! Adaptive History-driven Attack for Decision-based Black-box Models.

Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Layer-Wise Searching for 1-Bit Detectors.

Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation.

Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing.

Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

TRQ: Ternary Neural Networks With Residual Quantization.

Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SA-BNN: State-Aware Binary Neural Network.

Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-scale Supervised Attentive Encoder-Decoder Network for Crowd Counting.

Anran Zhang, Xiaolong Jiang, Baochang Zhang, Xianbin Cao

ACM Trans. Multim. Comput. Commun. Appl., 2020

CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection.

Tianliang Zhang, Zhenjun Han, Huijuan Xu, Baochang Zhang, Qixiang Ye

IEEE Trans. Intell. Transp. Syst., 2020

Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN.

Qian Huang, Wei Li, Baochang Zhang, Qingli Li, Ran Tao, Nigel H. Lovell

IEEE J. Biomed. Health Informatics, 2020

Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss.

Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, Rongrong Ji

IEEE Trans. Image Process., 2020

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen

IEEE Trans. Image Process., 2020

Aggregation Signature for Small Object Tracking.

Chunlei Liu, Wenrui Ding, Jinyu Yang, Vittorio Murino, Baochang Zhang, Jungong Han, Guodong Guo

IEEE Trans. Image Process., 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, Qing Tian

IEEE Trans. Image Process., 2020

Superpixel Labeling Priors and MRF for Aerial Video Segmentation.

Yufeng Wang, Wenrui Ding, Baochang Zhang, Hongguang Li, Shuo Liu

IEEE Trans. Circuits Syst. Video Technol., 2020

Circulant Binary Convolutional Networks for Object Recognition.

Chunlei Liu, Wenrui Ding, Yuan Hu, Xin Xia, Baochang Zhang, Jianzhuang Liu, David S. Doermann

IEEE J. Sel. Top. Signal Process., 2020

A Review of Recent Advances of Binary Neural Networks for Edge Computing.

Wenyu Zhao, Teli Ma, Xuan Gong, Baochang Zhang, 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, Fan Yang, Rongrong Ji

CoRR, 2020

iffDetector: Inference-aware Feature Filtering for Object Detection.

Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, Guodong Guo, David S. Doermann

CoRR, 2020

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks.

Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann

CoRR, 2020

Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set.

Duona Zhang, Wenrui Ding, Chunhui Liu, Hongyu Wang, Baochang Zhang

IEEE Access, 2020

Real-Time Human-UAV Interaction: New Dataset and Two Novel Gesture-Based Interacting Systems.

Mohamed A. Kassab, Mostafa Ahmed, Ali Maher, Baochang Zhang

IEEE Access, 2020

Long-Short Graph Memory Network for Skeleton-based Action Recognition.

Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Orthogonal Features Fusion Network for Anomaly Detection.

Teli Ma, Yizhi Wang, Jinxin Shao, Baochang Zhang, David S. Doermann

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Improving Backbones Performance by Complex Architectures.

Jinxin Shao, Yutao Hu, Zhen Liu, Teli Ma, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Rotated Binary Neural Network.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tailored Pruning via Rollback Learning.

Xin Xia, Wenrui Ding, Li'an Zhuo, Baochang Zhang

Proceedings of the Neural Computing for Advanced Applications, 2020

CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs.

Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Channel Pruning via Automatic Structure Search.

Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tracker Evaluation for Small Object Tracking.

Chang Liu, Chunlei Liu, Linlin Yang, Baochang Zhang

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Interpretable Attention Guided Network for Fine-Grained Visual Classification.

Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified.

Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification.

Yue Li, Wenrui Ding, Yanjun Zhu, Yuanjun Huang, Yalong Jiang, Baochang Zhang

Proceedings of the IEEE International Conference on Image Processing, 2020

The 1st Tiny Object Detection Challenge: Methods and Results.

Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2020, 2020

Interpretable Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

NAS-Count: Counting-by-Density with Neural Architecture Search.

Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann

Proceedings of the Computer Vision - ECCV 2020, 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, Baochang Zhang, Shumin Han

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Anti-bandit Neural Architecture Search for Model Defense.

Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann

Proceedings of the Computer Vision - ECCV 2020, 2020

Cogradient Descent for Bilinear Optimization.

Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

HRank: Filter Pruning Using High-Rank Feature Map.

Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Few-Shot Learning with Complex-valued Neural Networks.

Zhen Liu, Baochang Zhang, Guodong Guo

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Binarized Neural Architecture Search.

Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Ensemble Machine for Video Classification.

Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zhen, Xiangbo Su

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Manifold Structure Transfer for Action Recognition.

Ce Li, Baochang Zhang, Chen Chen, Qixiang Ye, Jungong Han, Guodong Guo, Rongrong Ji

IEEE Trans. Image Process., 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, Qiang Ni

IEEE Trans. Ind. Electron., 2019

Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification.

Peicheng Zhou, Junwei Han, Gong Cheng, Baochang Zhang

IEEE Trans. Geosci. Remote. Sens., 2019

Gaussian Transfer Convolutional Neural Networks.

Hongren Wang, Ce Li, Xiantong Zhen, Wankou Yang, Baochang Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features.

Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang

IEEE Trans. Circuits Syst. Video Technol., 2019

Long-Short-Term Features for Dynamic Scene Classification.

Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., 2019

ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos.

Yunqi Miao, Jungong Han, Yongsheng Gao, Baochang Zhang

Pattern Recognit. Lett., 2019

Enhanced Bird Detection from Low-Resolution Aerial Image Using Deep Neural Networks.

Ce Li, Baochang Zhang, Hanwen Hu, Jing Dai

Neural Process. Lett., 2019

SEMANTIC-RTAB-MAP (SRM): A semantic SLAM system with CNNs on depth images.

Mingyuan Mao, Hewei Zhang, Simeng Li, Baochang Zhang

Math. Found. Comput., 2019

Convolutional Attention in Ensemble With Knowledge Transferred for Remote Sensing Image Classification.

Hainan Wang, Yunqi Miao, Hongren Wang, Baochang Zhang

IEEE Geosci. Remote. Sens. Lett., 2019

Hierarchical residual stochastic networks for time series recognition.

Chunyu Xie, Ce Li, Baochang Zhang, Lili Pan, Qixiang Ye, Wei Chen

Inf. Sci., 2019

ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xianbin Cao

IET Image Process., 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

Frontiers Neurorobotics, 2019

Semantic-aware Image Deblurring.

Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xiaoshuai Sun, Chia-Wen Lin, Jiayi Ji, Baochang Zhang, Feiyue Huang, Liujuan Cao

CoRR, 2019

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs.

Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo

CoRR, 2019

Dynamic Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

CoRR, 2019

Dynamic Distribution Pruning for Efficient Network Architecture Search.

Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao

CoRR, 2019

Supervised Online Hashing via Similarity Distribution Learning.

Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang

CoRR, 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

CoRR, 2019

Local convolutional features and metric learning for SAR image registration.

Qiangliang Guo, Jin Xiao, Xiaoguang Hu, Baochang Zhang

Clust. Comput., 2019

An Integrated Deep Learning Framework for Occluded Pedestrian Tracking.

Kai Chen, Xiao Song, Xiang Zhai, Baochang Zhang, Baocun Hou, Yi Wang

IEEE Access, 2019

Taylor Convolutional Networks for Image Classification.

Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Starts Better and Ends Better: A Target Adaptive Image Signature Tracker.

Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Variational Structured Semantic Inference for Diverse Image Captioning.

Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing.

Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs.

Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hypergraph Induced Convolutional Manifold Networks.

Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework.

Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

UAV Target Tracking By Detection via Deep Neural Networks.

Mohamed A. Kassab, Ali Maher, Fathy Elkazzaz, Baochang Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Face Liveness Detection Benchmark based on Stereo Matching.

Minghui Shi, Jiaming Sun, Zhenhuan Huang, Hainan Wang, Chunlei Liu, Baochang Zhang

Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019

Guided Convolutional Network.

Chunlei Liu, Wenrui Ding, Yuan Hu, Hanlin Chen, Baochang Zhang, Shuo Liu

Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019

Multinomial Distribution Learning for Effective Neural Architecture Search.

Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bayesian Optimized 1-Bit CNNs.

Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation.

Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Efficient Block Pruning Based on Kernel and Feature Stablization.

Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lü, Baochang Zhang

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation.

Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning.

Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression.

Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks.

Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks.

Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer.

Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation.

Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios.

Junying Liu, Xianbin Cao, Yan Li, Baochang Zhang

IEEE Trans. Intell. Transp. Syst., 2018

Latent Constrained Correlation Filter.

Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao

IEEE Trans. Image Process., 2018

Gabor Convolutional Networks.

Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu

IEEE Trans. Image Process., 2018

Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles.

Duona Zhang, Wenrui Ding, Baochang Zhang, Chunyu Xie, Hongguang Li, Chunhui Liu, Jungong Han

Sensors, 2018

Superpixel-Based Feature for Aerial Image Scene Recognition.

Hongguang Li, Yang Shi, Baochang Zhang, Yufeng Wang

Sensors, 2018

Hybrid Gabor Convolutional Networks.

Chunlei Liu, Wenrui Ding, Xiaodi Wang, Baochang Zhang

Pattern Recognit. Lett., 2018

Manifold constraint transfer for visual structure-driven optimization.

Baochang Zhang, Alessandro Perina, Ce Li, Qixiang Ye, Vittorio Murino, Alessio Del Bue

Pattern Recognit., 2018

Deep Fisher discriminant learning for mobile hand gesture recognition.

Ce Li, Chunyu Xie, Baochang Zhang, Chen Chen, Jungong Han

Pattern Recognit., 2018

Object detection and tracking benchmark in industry based on improved correlation filter.

Shangzhen Luan, Yan Li, Xiaodi Wang, Baochang Zhang

Multim. Tools Appl., 2018

Realtime multi-aircraft tracking in aerial scene with deep orientation network.

Ali Maher, Hussein Taha, Baochang Zhang

J. Real Time Image Process., 2018

Robust kernelized correlation filter with scale adaption for real-time single object tracking.

Ce Li, Xingchao Liu, Xiangbo Su, Baochang Zhang

J. Real Time Image Process., 2018

Adaptive multiclass correlation filters and its applications in the time series recognition.

Linlin Yang, Ce Li, Chunyu Xie, Linna Wang, Baochang Zhang

J. Electronic Imaging, 2018

Memory Attention Networks for Skeleton-based Action Recognition.

Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu

CoRR, 2018

One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing.

Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xianbin Cao, Jianzhuang Liu

CoRR, 2018

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen

CoRR, 2018

Gabor Convolutional Networks.

Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A 3D Reconstruction System for Large Scene Based on RGB-D Image.

Hongren Wang, Pengbo Wang, Xiaodi Wang, Tianchen Peng, Baochang Zhang

Proceedings of the Intelligence Science and Big Data Engineering, 2018

Multiple Classifier System for Remote Sensing Images Classification.

Yunqi Miao, Hainan Wang, Baochang Zhang

Proceedings of the Intelligence Science and Big Data Engineering, 2018

Memory Attention Networks for Skeleton-based Action Recognition.

Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval.

Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.

Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Modulated Convolutional Networks.

Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Attentional Alignment Networks.

Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

Deep Collaborative Tracking Networks.

Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Output Constraint Transfer for Kernelized Correlation Filter in Tracking.

Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji

IEEE Trans. Syst. Man Cybern. Syst., 2017

Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier.

Baochang Zhang, Yun Yang, Chen Chen, Linlin Yang, Jungong Han, Ling Shao

IEEE Trans. Image Process., 2017

Adaptive Local Movement Modeling for Robust Object Tracking.

Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino, Jianzhuang Liu

IEEE Trans. Circuits Syst. Video Technol., 2017

Guest Editorial: Feature Learning from RGB-D Data for Multimedia Applications.

Baochang Zhang, Jungong Han, Ling Shao

Multim. Tools Appl., 2017

Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features.

Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang

Multim. Tools Appl., 2017

Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets.

Linlin Yang, Ce Li, Jungong Han, Chen Chen, Qixiang Ye, Baochang Zhang, Xianbin Cao, Wanquan Liu

IEEE J. Sel. Top. Signal Process., 2017

The Robust Derivative Code for Object Recognition.

Hainan Wang, Baochang Zhang, Hong Zheng, Yao Cao, Zhenhua Guo, Chengshan Qian

KSII Trans. Internet Inf. Syst., 2017

Filtered shallow-deep feature channels for pedestrian detection.

Biyun Sheng, Qichang Hu, Jun Li, Wankou Yang, Baochang Zhang, Changyin Sun

Neurocomputing, 2017

Gabor Convolutional Networks.

Shangzhen Luan, Baochang Zhang, Chen Chen, Xianbin Cao, Jungong Han, Jianzhuang Liu

CoRR, 2017

Deep Spatio-temporal Manifold Network for Action Recognition.

Ce Li, Chen Chen, Baochang Zhang, Qixiang Ye, Jungong Han, Rongrong Ji

CoRR, 2017

Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition.

Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasser Kehtarnavaz

IEEE Access, 2017

Deep-Patch Orientation Network for Aircraft Detection in Aerial Images.

Ali Maher, Jiaxin Gu, Baochang Zhang

Proceedings of the Advances in Image and Graphics Technologies - 12th Chinese conference, 2017

Manifold Constrained Low-Rank Decomposition.

Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Evaluation of super-resolution on bird detection performance based on deep convolutional networks.

Ce Li, Hanwen Hu, Baochang Zhang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions.

Yan Li, Xianbin Cao, Junying Liu, Baochang Zhang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model.

Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Cross-Modality Binary Code Learning via Fusion Similarity Hashing.

Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Gesture Recognition Based on Deep Belief Networks.

Yunqi Miao, Linna Wang, Chunyu Xie, Baochang Zhang

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Realtime Human-UAV Interaction Using Deep Learning.

Ali Maher, Ce Li, Hanwen Hu, Baochang Zhang

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016

Robust object representation by boosting-like deep learning architecture.

Lei Wang, Baochang Zhang, Jungong Han, Linlin Shen, Chengshan Qian

Signal Process. Image Commun., 2016

Land-use scene classification using multi-scale completed local binary patterns.

Chen Chen, Baochang Zhang, Hongjun Su, Wei Li, Lu Wang

Signal Image Video Process., 2016

An example-based approach to 3D man-made object reconstruction from line drawings.

Changqing Zou, Tianfan Xue, Xiaojiang Peng, Honghua Li, Baochang Zhang, Ping Tan, Jianzhuang Liu

Pattern Recognit., 2016

Sparsity analysis versus sparse representation classifier.

Baochang Zhang, Suli Ji, Li Li, Shengping Zhang, Wankou Yang

Neurocomputing, 2016

Face recognition using adaptive local ternary patterns method.

Wankou Yang, Zhenyu Wang, Baochang Zhang

Neurocomputing, 2016

Bounding Multiple Gaussians Uncertainty with Application to Object Tracking.

Baochang Zhang, Alessandro Perina, Zhigang Li, Vittorio Murino, Jianzhuang Liu, Rongrong Ji

Int. J. Comput. Vis., 2016

Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model.

Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro

CoRR, 2016

Adaptive Multi-class Correlation Filters.

Linlin Yang, Chen Chen, Hainan Wang, Baochang Zhang, Jungong Han

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector.

Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Person re-identification using sparse representation with manifold constraints.

Behzad Mirmahboub, Hamed Kiani, Amran Bhuiyan, Alessandro Perina, Baochang Zhang, Alessio Del Bue, Vittorio Murino

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Human Facial Expression Recognition Based on 3D Cuboids and Improved K-means Clustering Algorithm.

Yun Yang, Borui Yang, Wei Wei, Baochang Zhang

Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Scale Invariant Kernelized Correlation Filter Based on Gaussian Output.

Xiangbo Su, Baochang Zhang, Linlin Yang, Zhigang Li, Yun Yang

Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Cloud-Based Video Surveillance System Using EFD-GMM for Object Detection.

Ce Li, Jianchen Su, Baochang Zhang

Proceedings of the Cloud Computing and Security - Second International Conference, 2016

GPCA-SIFT: A New Local Feature Descriptor for Scene Image Classification.

Lei Ju, Ke Xie, Hao Zheng, Baochang Zhang, Wankou Yang

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Local Dual-Cross Ternary Pattern for Feature Representation.

Peng Zhou, Yucong Peng, Jifeng Shen, Baochang Zhang, Wankou Yang

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Gesture Recognition Benchmark Based on Mobile Phone.

Chunyu Xie, Shangzhen Luan, Hainan Wang, Baochang Zhang

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Multilinear Local Fisher Discriminant Analysis for Face Recognition.

Yucong Peng, Peng Zhou, Hao Zheng, Baochang Zhang, Wankou Yang

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015

The Generalization Ability of SVM Classification Based on Markov Sampling.

Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang

IEEE Trans. Cybern., 2015

Geometric Reinforcement Learning for Path Planning of UAVs.

Baochang Zhang, Zhili Mao, Wanquan Liu, Jianzhuang Liu

J. Intell. Robotic Syst., 2015

Fast algorithm for color texture image inpainting using the non-local CTV model.

Jinming Duan, Zhenkuan Pan, Baochang Zhang, Wanquan Liu, Xue-Cheng Tai

J. Glob. Optim., 2015

A compressed sensing ensemble classifier with application to human detection.

Baochang Zhang, Zhigang Li, Juan Liu

Neurocomputing, 2015

Boosting-like Deep Learning For Pedestrian Detection.

Lei Wang, Baochang Zhang

CoRR, 2015

Adaptive Local Movement Modelling for Object Tracking.

Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition.

Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Sparse representation classification with manifold constraints transfer.

Baochang Zhang, Alessandro Perina, Vittorio Murino, Alessio Del Bue

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion.

Linlin Yang, Dandan Du, Baochang Zhang, Wankou Yang

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

Boosting-Like Deep Convolutional Network for Pedestrian Detection.

Lei Wang, Baochang Zhang, Wankou Yang

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

Action recognition using completed local binary patterns and multiple-class boosting classifier.

Yun Yang, Baochang Zhang, Linlin Yang, Chen Chen, Wankou Yang

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Hyperspectral image classification using Gradient Local Auto-Correlations.

Chen Chen, Junjun Jiang, Baochang Zhang, Wankou Yang, Jianzhong Guo

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

The BeiHang Keystroke Dynamics Systems, Databases and baselines.

Juan Liu, Baochang Zhang, Haoran Zeng, LinLin Shen, Jianzhuang Liu, Jason Zhao

Neurocomputing, 2014

Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information.

Baochang Zhang, Wanquan Liu, Zhili Mao, Jianzhuang Liu, LinLin Shen

Autom., 2014

Similarity Michaelis-Menten law pre-processing descriptor for face recognition.

Suli Ji, Baochang Zhang, Dandan Du, Biao He, Jianzhuang Liu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Non-negative Low Rank and Sparse Model for Action Recognition.

Biyun Sheng, Wankou Yang, Baochang Zhang, Changyin Sun

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Location recognition on lifelog images via a discriminative combination of generative models.

Alessandro Perina, Matteo Zanotto, Baochang Zhang, Vittorio Murino

Proceedings of the British Machine Vision Conference, 2014

2013

Weighted Margin Sparse Embedded classifier for brake cylinder detection.

Yao Cao, Baochang Zhang, Jianzhuang Liu, Jiangsha Ma

Neurocomputing, 2013

The BeiHang Keystroke Dynamics Authentication System.

Juan Liu, Baochang Zhang, LinLin Shen, Jianzhuang Liu, Jason Zhao

CoRR, 2013

Spatial Weighting for Bag-of-Features Based Image Retrieval.

Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

Interval Algorithm for Set-Membership Identification of MIMO LTI System.

Xiaojun Wang, Chen Yang, Baochang Zhang, Lei Wang

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

Compressed Sensing Ensemble Classifier for Human Detection.

Baochang Zhang, Juan Liu, Yongsheng Gao, Jianzhuang Liu

Proceedings of the Intelligence Science and Big Data Engineering, 2013

An Improved Adaptive Weighted LTP Algorithm for Face Recognition Based on Single Training Sample.

Rong Huang, Lian Zhu, Wankou Yang, Baochang Zhang, Changyin Sun

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

2012

Pedestrian detection in images via cascaded L1-norm minimization learning method.

Ran Xu, Jianbin Jiao, Baochang Zhang, Qixiang Ye

Pattern Recognit., 2012

2011

Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background.

Baochang Zhang, Yongsheng Gao, Sanqiang Zhao, Bineng Zhong

IEEE Trans. Circuits Syst. Video Technol., 2011

Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR).

Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang Ye, Jianzhuang Liu

Pattern Recognit., 2011

Complex background modeling based on Texture Pattern Flow with adaptive threshold propagation.

Baochang Zhang, Bineng Zhong, Yao Cao

J. Vis. Commun. Image Represent., 2011

Local Kernel Feature Analysis (LKFA) for object recognition.

Baochang Zhang, Yongsheng Gao, Hong Zheng

Neurocomputing, 2011

Sparse regression analysis for object recognition.

Baochang Zhang, Shengping Zhang, Jianzhuang Liu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Study on the BeiHang Keystroke Dynamics Database.

Yilin Li, Baochang Zhang, Yao Cao, Sanqiang Zhao, Yongsheng Gao, Jianzhuang Liu

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

2010

Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor.

Baochang Zhang, Yongsheng Gao, Sanqiang Zhao, Jianzhuang Liu

IEEE Trans. Image Process., 2010

Directional binary code with application to PolyU near-infrared face database.

Baochang Zhang, Lei Zhang, David Zhang, LinLin Shen

Pattern Recognit. Lett., 2010

Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis.

Baochang Zhang, Yu Qiao

Neural Comput. Appl., 2010

Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition.

Sanqiang Zhao, Yongsheng Gao, Baochang Zhang

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fast pedestrian detection with multi-scale orientation features and two-stage classifiers.

Qixiang Ye, Jianbin Jiao, Baochang Zhang

Proceedings of the International Conference on Image Processing, 2010

Human detection in images via L1-norm Minimization Learning.

Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao

Proceedings of the IEEE International Conference on Acoustics, 2010

Cascaded L1-norm Minimization Learning (CLML) classifier for human detection.

Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Gabor feature constrained statistical model for efficient landmark localization and face recognition.

Sanqiang Zhao, Yongsheng Gao, Baochang Zhang

Pattern Recognit. Lett., 2009

Local Kernel Mapping for Object Recognition.

Baochang Zhang, Hong Zheng, Zhongli Wang

Proceedings of the Fifth International Conference on Natural Computation, 2009

Multl-resolution background subtraction for dynamic scenes.

Bineng Zhong, Shaohui Liu, Hongxun Yao, Baochang Zhang

Proceedings of the International Conference on Image Processing, 2009

2008

Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition.

Baochang Zhang, Zhongli Wang, Bineng Zhong

EURASIP J. Adv. Signal Process., 2008

Complex background modeling and motion detection based on Texture Pattern Flow.

Baochang Zhang, Yongsheng Gao, Bineng Zhong

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Sobel-LBP.

Sanqiang Zhao, Yongsheng Gao, Baochang Zhang

Proceedings of the International Conference on Image Processing, 2008

Face recognition based on Gradient Gabor feature.

Baochang Zhang, Yongsheng Gao, Yu Qiao

Proceedings of the International Conference on Image Processing, 2008

2007

Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition.

Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao

IEEE Trans. Image Process., 2007

2006

Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition.

Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

The Application of Extended Geodesic Distance in Head Poses Estimation.

Bingpeng Ma, Fei Yang, Wen Gao, Baochang Zhang

Proceedings of the Advances in Biometrics, International Conference, 2006

2005

Nonlinear Face Recognition Based on Maximum Average Margin Criterion.

Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition.

Baochang Zhang, Xilin Chen, Wen Gao

Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

2004

Gabor-Kernel Fisher Analysis for Face Recognition.

Baochang Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

2003

Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search.

Baochang Zhang, Wen Gao, Shiguang Shan, Wei Wang

Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003