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ORCIDBaochang Zhang 0001
Person information
- affiliation: Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- affiliation (PhD 2006): Harbin Institute of the Technology, China
Other persons with the same name
- Baochang Zhang 0002
![[0000-0002-4064-8763]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4064-8763")
— Jining Medical University, Rizhao, China - Baochang Zhang 0003 — Chinese Academy of Sciences, Shenzhen, China
- Baochang Zhang 0004 — Technical University of Munich, Germany
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2020 – today
- 2025
[j136]Zhangxi Xiong, Wei Li, Hanzheng Wang, Baochang Zhang, James E. Fowler:
A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. IEEE Trans. Computational Imaging 11: 1-10 (2025)- [j135]Yuxiang Bao, Guoliang Kang, Linlin Yang, Xiaoyue Duan, Bo Zhao, Baochang Zhang:
Normalizing Batch Normalization for Long-Tailed Recognition. IEEE Trans. Image Process. 34: 209-220 (2025) - [j134]Baochang Zhang, Runqi Wang, Xiaodi Wang, Jungong Han, Rongrong Ji:
Modulated Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3916-3929 (2025) - [j133]Yutao Hu, Xiaolong Jiang, Xuhui Liu, Xiaoyan Luo, Yao Hu, Xianbin Cao, Baochang Zhang, Jun Zhang:
Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4005-4018 (2025) - [i105]Yuxiang Bao, Guoliang Kang, Linlin Yang, Xiaoyue Duan, Bo Zhao, Baochang Zhang:
Normalizing Batch Normalization for Long-Tailed Recognition. CoRR abs/2501.03122 (2025) - [i104]Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji:
DAMamba: Vision State Space Model with Dynamic Adaptive Scan. CoRR abs/2502.12627 (2025) - [i103]Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie, Dawei Leng, Xianbin Cao, Baochang Zhang:
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection. CoRR abs/2502.16223 (2025) - 2024
- [b1]Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann:
Neural Networks with Model Compression. Springer 2024, ISBN 978-981-99-5067-6, pp. 1-260 - [j132]Xing Ning, Bo Zhao, Bin Huang, Mengyuan Zhu, Qian Zhang, Baochang Zhang:
DrawingNet for Communication Tower Drawings Recognition. IEEE Access 12: 156378-156389 (2024) - [j131]Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang:
F2Depth: Self-supervised indoor monocular depth estimation via optical flow consistency and feature map synthesis. Eng. Appl. Artif. Intell. 133: 108391 (2024) - [j130]Huixin Sun, Yunhao Wang, Xiaodi Wang, Bin Zhang, Ying Xin, Baochang Zhang, Xianbin Cao, Errui Ding, Shumin Han:
MAFormer: A transformer network with multi-scale attention fusion for visual recognition. Neurocomputing 595: 127828 (2024) - [j129]Yinqi Zhang, Lingfu Jiang, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin:
SegCFT: Context-aware Fourier Transform for efficient semantic segmentation. Neurocomputing 596: 127946 (2024) - [j128]Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. Pattern Recognit. 156: 110701 (2024) - [j127]Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang, Na Li:
SIM-MultiDepth: Self-Supervised Indoor Monocular Multi-Frame Depth Estimation Based on Texture-Aware Masking. Remote. Sens. 16(12): 2221 (2024) - [j126]Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang:
RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j125]Yiqun Qiao, Jinhu Lü, Tian Wang, Kexin Liu, Baochang Zhang, Hichem Snoussi:
A Multihead Attention Self-Supervised Representation Model for Industrial Sensors Anomaly Detection. IEEE Trans. Ind. Informatics 20(2): 2190-2199 (2024) - [j124]Xinzhou Zhao, Tian Wang, Yanjing Li, Baochang Zhang, Kexin Liu, Deyuan Liu, Chuanyun Wang, Hichem Snoussi:
Target-Driven Visual Navigation by Using Causal Intervention. IEEE Trans. Intell. Veh. 9(1): 1294-1304 (2024) - [c157]Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang:
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. AAAI 2024: 1644-1652 - [c156]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI 2024: 3243-3251 - [c155]Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
Controllable Mind Visual Diffusion Model. AAAI 2024: 6935-6943 - [c154]Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang:
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI 2024: 15598-15606 - [c153]Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. AAAI 2024: 22058-22066 - [c152]Xuhui Liu, Bohan Zeng, Sicheng Gao, Shanglin Li, Yutang Feng, Hong Li, Boyu Liu, Jianzhuang Liu, Baochang Zhang:
LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces. CVPR Workshops 2024: 1115-1125 - [c151]Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xiuhui Liu, Jiaming Liu, Lin Li, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
ZONE: Zero-Shot Instruction-Guided Local Editing. CVPR 2024: 6254-6263 - [c150]Hong Li, Yutang Feng, Song Xue, Xuhui Liu, Bohan Zeng, Shanglin Li, Boyu Liu, Jianzhuang Liu, Shumin Han, Baochang Zhang:
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. CVPR 2024: 10585-10595 - [c149]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CVPR 2024: 15783-15792 - [c148]Yutang Feng, Sicheng Gao, Yuxiang Bao, Xiaodi Wang, Shumin Han, Juan Zhang, Baochang Zhang, Angela Yao:
WAVE: Warping DDIM Inversion Features for Zero-Shot Text-to-Video Editing. ECCV (76) 2024: 38-55 - [c147]Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang:
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. ECCV (43) 2024: 458-476 - [c146]Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun:
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML 2024 - [c145]Jiamin Liu, Baochang Zhang, Xianbin Cao:
ROI-Aware Dynamic Network Quantization for Neural Video Compression. ICPR (5) 2024: 333-349 - [c144]Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang:
CLIP in Mirror: Disentangling text from visual images through reflection. NeurIPS 2024 - [i102]Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization. CoRR abs/2401.06975 (2024) - [i101]Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao:
Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization. CoRR abs/2402.13497 (2024) - [i100]Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang:
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR abs/2403.07564 (2024) - [i99]Jiaxin Deng, Junbiao Pang, Baochang Zhang, Tian Wang:
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization. CoRR abs/2403.08821 (2024) - [i98]Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang:
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification. CoRR abs/2403.18407 (2024) - [i97]Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang:
F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis. CoRR abs/2403.18443 (2024) - [i96]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CoRR abs/2404.00672 (2024) - [i95]Wenhao Dong, Haodong Zhu, Shaohui Lin, Xiaoyan Luo, Yunhang Shen, Xuhui Liu, Juan Zhang, Guodong Guo, Baochang Zhang:
Fusion-Mamba for Cross-modality Object Detection. CoRR abs/2404.09146 (2024) - [i94]Yuguang Yang, Runtang Guo, Sheng Wu, Yimi Wang, Linlin Yang, Bo Fan, Jilong Zhong, Juan Zhang, Baochang Zhang:
DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration. CoRR abs/2405.18882 (2024) - [i93]Bin Huang, Changchen Zhao, Zimeng Liu, Shenda Hong, Baochang Zhang, Wenjin Wang, Hui Liu:
A Large Medical Model based on Visual Physiological Monitoring for Public Health. CoRR abs/2406.07558 (2024) - [i92]Jiaxin Deng, Junbiao Pang, Baochang Zhang:
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. CoRR abs/2406.08001 (2024) - [i91]Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang:
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. CoRR abs/2407.13545 (2024) - [i90]Jiaxin Deng, Junbiao Pang, Baochang Zhang, Qingming Huang:
Bilateral Sharpness-Aware Minimization for Flatter Minima. CoRR abs/2409.13173 (2024) - [i89]Huixin Sun, Runqi Wang, Yanjing Li, Xianbin Cao, Xiaolong Jiang, Yao Hu, Baochang Zhang:
P4Q: Learning to Prompt for Quantization in Visual-language Models. CoRR abs/2409.17634 (2024) - [i88]Zhiming Wang, Mingze Wang, Sheng Xu, Yanjing Li, Baochang Zhang:
CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset. CoRR abs/2411.11360 (2024) - [i87]Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Baochang Zhang, Wenrui Ding:
Graph Structure Refinement with Energy-based Contrastive Learning. CoRR abs/2412.17856 (2024) - 2023
- [j123]Tian Wang, Boyao Hou, Jiakun Li, Peng Shi, Baochang Zhang, Hichem Snoussi:
TASTA: Text-Assisted Spatial and Temporal Attention Network for Video Question Answering. Adv. Intell. Syst. 5(4) (2023) - [j122]Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, Yang Yi, Tian Wang, Baochang Zhang:
Data enhancement based on M2-Unet for liver segmentation in Computed Tomography. Biomed. Signal Process. Control. 79(Part): 104032 (2023) - [j121]Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann:
Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. Int. J. Comput. Vis. 131(1): 385-404 (2023) - [j120]Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji:
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131(5): 1234-1249 (2023) - [j119]Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang:
Anti-Bandit for Neural Architecture Search. Int. J. Comput. Vis. 131(10): 2682-2698 (2023) - [j118]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. Int. J. Comput. Vis. 131(11): 2793-2815 (2023) - [j117]Xiaoyue Duan, Hong Li, Panpan Wang, Tiancheng Wang, Boyu Liu, Baochang Zhang:
Bandit Interpretability of Deep Models via Confidence Selection. Neurocomputing 544: 126250 (2023) - [j116]Mu Nie, Sen Yang, Zhenhua Wang, Baochang Zhang, Huimin Lu, Wankou Yang:
Multi-receptive field spatiotemporal network for action recognition. Int. J. Mach. Learn. Cybern. 14(7): 2439-2453 (2023) - [j115]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6277-6288 (2023) - [j114]Duona Zhang, Yuanyao Lu, Yundong Li, Wenrui Ding, Baochang Zhang, Jing Xiao:
Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication. Pattern Recognit. 137: 109345 (2023) - [j113]Xin Huang, Yutao Hu, Xiaoyan Luo, Jungong Han, Baochang Zhang, Xianbin Cao:
Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2813-2825 (2023) - [j112]Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One. IEEE Trans. Multim. 25: 7660-7671 (2023) - [j111]Tian Wang, Jiahui Chen, Jinhu Lü, Kexin Liu, Aichun Zhu, Hichem Snoussi, Baochang Zhang:
Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10589-10599 (2023) - [j110]Duona Zhang, Yuanyao Lu, Yundong Li, Wenrui Ding, Baochang Zhang:
High-Order Convolutional Attention Networks for Automatic Modulation Classification in Communication. IEEE Trans. Wirel. Commun. 22(7): 4600-4610 (2023) - [c143]Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma:
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. AAAI 2023: 7731-7739 - [c142]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu:
Resilient Binary Neural Network. AAAI 2023: 10620-10628 - [c141]Peizhu Zhou, Xuhui Liu, Baochang Zhang:
SGFNeRF: Shape Guided 3D Face Generation in Neural Radiance Fields. ACPR (3) 2023: 238-249 - [c140]Xuhui Liu, Sicheng Gao, Peizhu Zhou, Jianzhuang Liu, Xiaoyan Luo, Luping Zhang, Baochang Zhang:
Hybrid Spatio-Temporal Network for Face Forgery Detection. ACPR (3) 2023: 250-264 - [c139]Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Xianbin Cao, Luping Zhang, Baochang Zhang:
Q-YOLO: Efficient Inference for Real-Time Object Detection. ACPR (3) 2023: 307-321 - [c138]Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang:
Face Animation with an Attribute-Guided Diffusion Model. CVPR Workshops 2023: 628-637 - [c137]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CVPR 2023: 3654-3663 - [c136]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CVPR 2023: 3842-3851 - [c135]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CVPR 2023: 10021-10030 - [c134]Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang:
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. CVPR 2023: 23445-23454 - [c133]Meng He, Lijuan Duan, Baochang Zhang, Shengwen Han:
Knowledge Graph Embedding Method Based on Entity Metric Learning. ICCAI 2023: 381-387 - [c132]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. ICCV 2023: 6692-6701 - [c131]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:
CCMB: A Large-scale Chinese Cross-modal Benchmark. ACM Multimedia 2023: 4219-4227 - [c130]Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang:
Q-DM: An Efficient Low-bit Quantized Diffusion Model. NeurIPS 2023 - [c129]Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang:
Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. PRCV (8) 2023: 28-41 - [c128]Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang:
MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation. PRCV (12) 2023: 158-171 - [i86]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv:
Resilient Binary Neural Network. CoRR abs/2302.00956 (2023) - [i85]Huixin Sun, Baochang Zhang, Yanjing Li, Xianbin Cao:
Confidence-driven Bounding Box Localization for Small Object Detection. CoRR abs/2303.01803 (2023) - [i84]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CoRR abs/2303.16491 (2023) - [i83]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CoRR abs/2304.00253 (2023) - [i82]Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang:
Face Animation with an Attribute-Guided Diffusion Model. CoRR abs/2304.03199 (2023) - [i81]Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Baochang Zhang:
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation. CoRR abs/2304.06957 (2023) - [i80]Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
Controllable Mind Visual Diffusion Model. CoRR abs/2305.10135 (2023) - [i79]Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang:
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. CoRR abs/2305.11439 (2023) - [i78]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CoRR abs/2305.11488 (2023) - [i77]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR abs/2305.12354 (2023) - [i76]Yuguang Yang, Yiming Wang, Shupeng Geng, Runqi Wang, Yimi Wang, Sheng Wu, Baochang Zhang:
Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models. CoRR abs/2306.06691 (2023) - [i75]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. CoRR abs/2306.15390 (2023) - [i74]Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR abs/2307.00198 (2023) - [i73]Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Baochang Zhang, Xianbin Cao:
Q-YOLO: Efficient Inference for Real-time Object Detection. CoRR abs/2307.04816 (2023) - [i72]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. CoRR abs/2308.10308 (2023) - [i71]Ziming Wang, Shumin Han, Xiaodi Wang, Jing Hao, Xianbin Cao, Baochang Zhang:
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling. CoRR abs/2309.09571 (2023) - [i70]Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, Baochang Zhang:
IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts. CoRR abs/2310.05375 (2023) - [i69]Yuxiang Bao, Di Qiu, Guoliang Kang, Baochang Zhang, Bo Jin, Kaiye Wang, Pengfei Yan:
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation. CoRR abs/2311.00353 (2023) - [i68]Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. CoRR abs/2312.14478 (2023) - [i67]Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang:
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. CoRR abs/2312.14611 (2023) - [i66]Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xuhui Liu, Jiaming Liu, Li Lin, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
ZONE: Zero-Shot Instruction-Guided Local Editing. CoRR abs/2312.16794 (2023) - 2022
- [j109]Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, Yang Yi, Tian Wang, Baochang Zhang:
Multi-modal data Alzheimer's disease detection based on 3D convolution. Biomed. Signal Process. Control. 75: 103565 (2022) - [j108]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
A multi-scale unsupervised learning for deformable image registration. Int. J. Comput. Assist. Radiol. Surg. 17(1): 157-166 (2022) - [j107]Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi:
A Malleable Boundary Network for temporal action detection. Comput. Electr. Eng. 103: 108250 (2022) - [j106]Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang, Fangfang Liang:
TPSN: Transformer-based multi-Prototype Search Network for few-shot semantic segmentation. Comput. Electr. Eng. 103: 108326 (2022) - [j105]Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji:
Deepwalk-aware graph convolutional networks. Sci. China Inf. Sci. 65(5): 1-15 (2022) - [j104]Ahmad Ibrahim, Hoda K. Mohamed, Ali Maher, Baochang Zhang:
A Survey on Human Cancer Categorization Based on Deep Learning. Frontiers Artif. Intell. 5 (2022) - [j103]Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo:
Towards Compact 1-bit CNNs via Bayesian Learning. Int. J. Comput. Vis. 130(2): 201-225 (2022) - [j102]Xuhui Liu, Yutao Hu, Baochang Zhang, Xiantong Zhen, Xiaoyan Luo, Xianbin Cao:
Attentive encoder-decoder networks for crowd counting. Neurocomputing 490: 246-257 (2022) - [j101]Mengyi Zhao, Shuling Dai, Yanjun Zhu, Hao Tang, Pan Xie, Yue Li, Chunlei Liu, Baochang Zhang:
PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition. Neurocomputing 501: 640-649 (2022) - [j100]Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. Int. J. Softw. Informatics 12(2): 177-193 (2022) - [j99]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang:
Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue. Medical Image Anal. 77: 102338 (2022) - [j98]Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu:
Filter pruning via expectation-maximization. Neural Comput. Appl. 34(15): 12807-12818 (2022) - [j97]Xiao Wang, Xiang Xiang, Baochang Zhang, Xuhui Liu, Jianying Zheng, Qinglei Hu:
Weakly Supervised Object Detection Based on Active Learning. Neural Process. Lett. 54(6): 5169-5183 (2022) - [j96]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022) - [j95]Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun:
Data-adaptive binary neural networks for efficient object detection and recognition. Pattern Recognit. Lett. 153: 239-245 (2022) - [j94]Ruonan Yu, Hongguang Li, Yalong Jiang, Baochang Zhang, Yufeng Wang:
Tiny Vehicle Detection for Mid-to-High Altitude UAV Images Based on Visual Attention and Spatial-Temporal Information. Sensors 22(6): 2354 (2022) - [j93]Chunlei Liu, Wenrui Ding, Peng Chen, Bohan Zhuang, Yufeng Wang, Yang Zhao, Baochang Zhang, Yuqi Han:
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6414-6424 (2022) - [j92]Tianhuan Huang, Xianye Ben, Chen Gong, Baochang Zhang, Rui Yan, Qiang Wu:
Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6967-6980 (2022) - [j91]Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 489-498 (2022) - [j90]Lijuan Duan, Zeyu Wang, Yuanhua Qiao, Yue Wang, Zhaoyang Huang, Baochang Zhang:
An Automatic Method for Epileptic Seizure Detection Based on Deep Metric Learning. IEEE J. Biomed. Health Informatics 26(5): 2147-2157 (2022) - [j89]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 23(5): 4151-4163 (2022) - [j88]Ying Luo, Jinhu Lü, Xiaolong Jiang, Baochang Zhang:
Learning From Architectural Redundancy: Enhanced Deep Supervision in Deep Multipath Encoder-Decoder Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4271-4284 (2022) - [j87]Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen:
Memory Attention Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4800-4814 (2022) - [j86]Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, David S. Doermann:
iffDetector: Inference-Aware Feature Filtering for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6494-6503 (2022) - [j85]Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann:
BiRe-ID: Binary Neural Network for Efficient Person Re-ID. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 26:1-26:22 (2022) - [c127]Sicheng Gao, Yutang Feng, Linlin Yang, Xuhui Liu, Zichen Zhu, David S. Doermann, Baochang Zhang:
MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. BMVC 2022: 444 - [c126]Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao:
Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. BMVC 2022: 481 - [c125]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR 2022: 12329-12338 - [c124]Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi:
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CVPR 2022: 18439-18448 - [c123]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. ECCV (24) 2022: 19-35 - [c122]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-retroactive Interference for Lifelong Learning. ECCV (24) 2022: 163-178 - [c121]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü:
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. ECCV (11) 2022: 346-361 - [c120]Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng:
Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. ICASSP 2022: 1705-1709 - [c119]Zhenhuan Huang, Guansheng Wu, Xiang Qian, Baochang Zhang:
Graph Attention Network for Financial Aspect-based Sentiment Classification with Contrastive Learning. INDIN 2022: 668-673 - [c118]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. NeurIPS 2022 - [c117]Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang:
FNeVR: Neural Volume Rendering for Face Animation. NeurIPS 2022 - [c116]Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann:
Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. WACV 2022: 1555-1564 - [i65]Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv:
TerViT: An Efficient Ternary Vision Transformer. CoRR abs/2201.08050 (2022) - [i64]Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo:
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR abs/2203.09082 (2022) - [i63]Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi:
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CoRR abs/2203.14702 (2022) - [i62]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-Retroactive Interference for Lifelong Learning. CoRR abs/2208.12967 (2022) - [i61]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. CoRR abs/2209.01542 (2022) - [i60]Yunhao Wang, Huixin Sun, Xiaodi Wang, Bin Zhang, Chao Li, Ying Xin, Baochang Zhang, Errui Ding, Shumin Han:
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition. CoRR abs/2209.01620 (2022) - [i59]Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang:
FNeVR: Neural Volume Rendering for Face Animation. CoRR abs/2209.10340 (2022) - [i58]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv:
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors. CoRR abs/2210.03477 (2022) - [i57]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. CoRR abs/2210.06707 (2022) - [i56]Xiaoyue Duan, Guoliang Kang, Runqi Wang, Shumin Han, Song Xue, Tian Wang, Baochang Zhang:
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning. CoRR abs/2211.15180 (2022) - [i55]Tianliang Zhang, Zhenjun Han, Huijuan Xu, Baochang Zhang, Qixiang Ye:
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. CoRR abs/2212.05691 (2022) - [i54]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. CoRR abs/2212.05717 (2022) - 2021
- [j84]Song Xue, Hanlin Chen, Chunyu Xie, Baochang Zhang, Xuan Gong, David S. Doermann:
Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning. IEEE Comput. Intell. Mag. 16(3): 22-32 (2021) - [j83]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129(2): 501-516 (2021) - [j82]Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David S. Doermann:
Rectified Binary Convolutional Networks with Generative Adversarial Learning. Int. J. Comput. Vis. 129(4): 998-1012 (2021) - [j81]Yucheng Zhang, Tian Wang, Kexin Liu, Baochang Zhang, Lei Chen:
Recent advances of single-object tracking methods: A brief survey. Neurocomputing 455: 1-11 (2021) - [j80]Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang:
Context-sensitive zero-shot semantic segmentation model based on meta-learning. Neurocomputing 465: 465-475 (2021) - [j79]Hainan Wang, Baochang Zhang, Wei Chen:
Robust and real-time object recognition based on multiple fractal dimension. Multim. Tools Appl. 80(30): 36585-36603 (2021) - [j78]Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang:
Efficient structured pruning based on deep feature stabilization. Neural Comput. Appl. 33(13): 7409-7420 (2021) - [j77]Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian:
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2936-2952 (2021) - [j76]Duona Zhang, Wenrui Ding, Baochang Zhang, Chunhui Liu, Jungong Han, David S. Doermann:
Learning modulation filter networks for weak signal detection in noise. Pattern Recognit. 109: 107590 (2021) - [j75]Yizhe Luo, Wenrui Ding, Baochang Zhang:
Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System. IEEE Trans. Cogn. Commun. Netw. 7(3): 970-984 (2021) - [j74]Xiao Song, Kai Chen, Xu Li, Jinghan Sun, Baocun Hou, Yong Cui, Baochang Zhang, Gang Xiong, Zilie Wang:
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network. IEEE Trans. Intell. Transp. Syst. 22(6): 3285-3302 (2021) - [j73]Yutao Hu, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao:
Alignment Enhancement Network for Fine-grained Visual Categorization. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 12:1-12:20 (2021) - [c115]Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding:
SA-BNN: State-Aware Binary Neural Network. AAAI 2021: 2091-2099 - [c114]Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo:
TRQ: Ternary Neural Networks With Residual Quantization. AAAI 2021: 8538-8546 - [c113]Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. BMVC 2021: 36 - [c112]Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann:
Layer-Wise Searching for 1-Bit Detectors. CVPR 2021: 5682-5691 - [c111]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. CVPR 2021: 16694-16705 - [c110]Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann:
IDARTS: Interactive Differentiable Architecture Search. ICCV 2021: 1143-1152 - [c109]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. ICCV 2021: 8178-8188 - [c108]Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu:
Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV 2021: 16148-16157 - [c107]Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann:
Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes. ICRA 2021: 7159-7165 - [c106]Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann:
Uncertainty-aware Binary Neural Networks. IJCAI 2021: 3441-3447 - [c105]Mingyuan Mao, Peng Gao, Renrui Zhang, Honghui Zheng, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, Shumin Han:
Dual-stream Network for Visual Recognition. NeurIPS 2021: 25346-25358 - [c104]Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang:
Long-range Attention Network for Multi-View Stereo. WACV 2021: 3781-3790 - [c103]Xuan Gong, Shuyan Chen, Baochang Zhang, David S. Doermann:
Style Consistent Image Generation for Nuclei Instance Segmentation. WACV 2021: 3993-4002 - [c102]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV 2021: 4003-4011 - [i53]Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning. CoRR abs/2102.02078 (2021) - [i52]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. CoRR abs/2102.07981 (2021) - [i51]Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang:
Interpretable Attention Guided Network for Fine-grained Visual Classification. CoRR abs/2103.04701 (2021) - [i50]Mingyuan Mao, Baochang Zhang, David S. Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding:
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections. CoRR abs/2105.03139 (2021) - [i49]Teli Ma, Mingyuan Mao, Honghui Zheng, Peng Gao, Xiaodi Wang, Shumin Han, Errui Ding, Baochang Zhang, David S. Doermann:
Oriented Object Detection with Transformer. CoRR abs/2106.03146 (2021) - [i48]Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann:
Cogradient Descent for Dependable Learning. CoRR abs/2106.10617 (2021) - [i47]Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021) - [i46]Shuwei Shao, Ran Li, Zhongcai Pei, Zhong Liu, Weihai Chen, Wentao Zhu, Xingming Wu, Baochang Zhang:
NENet: Monocular Depth Estimation via Neural Ensembles. CoRR abs/2111.08313 (2021) - [i45]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR abs/2111.09136 (2021) - [i44]Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. CoRR abs/2111.13386 (2021) - [i43]Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, Baochang Zhang:
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue. CoRR abs/2112.08122 (2021) - [i42]Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo:
Associative Adversarial Learning Based on Selective Attack. CoRR abs/2112.13989 (2021) - 2020
- [j72]Duona Zhang, Wenrui Ding, Chunhui Liu, Hongyu Wang, Baochang Zhang:
Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set. IEEE Access 8: 27097-27105 (2020) - [j71]Mohamed A. Kassab, Mostafa Ahmed, Ali Maher, Baochang Zhang:
Real-Time Human-UAV Interaction: New Dataset and Two Novel Gesture-Based Interacting Systems. IEEE Access 8: 195030-195045 (2020) - [j70]Chunlei Liu, Wenrui Ding, Yuan Hu, Xin Xia, Baochang Zhang, Jianzhuang Liu, David S. Doermann:
Circulant Binary Convolutional Networks for Object Recognition. IEEE J. Sel. Top. Signal Process. 14(4): 884-893 (2020) - [j69]Yufeng Wang, Wenrui Ding, Baochang Zhang, Hongguang Li, Shuo Liu:
Superpixel Labeling Priors and MRF for Aerial Video Segmentation. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2590-2603 (2020) - [j68]Chunlei Liu, Wenrui Ding, Jinyu Yang, Vittorio Murino, Baochang Zhang, Jungong Han, Guodong Guo:
Aggregation Signature for Small Object Tracking. IEEE Trans. Image Process. 29: 1738-1747 (2020) - [j67]Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. 29: 2889-2902 (2020) - [j66]Yundong Li, Wei Hu, Hongguang Li, Han Dong, Baochang Zhang, Qing Tian:
Aligning Discriminative and Representative Features: An Unsupervised Domain Adaptation Method for Building Damage Assessment. IEEE Trans. Image Process. 29: 6110-6122 (2020) - [j65]Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, Rongrong Ji:
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. IEEE Trans. Image Process. 29: 7578-7589 (2020) - [j64]Qian Huang, Wei Li, Baochang Zhang, Qingli Li, Ran Tao, Nigel H. Lovell:
Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN. IEEE J. Biomed. Health Informatics 24(1): 160-170 (2020) - [j63]Tianliang Zhang, Zhenjun Han, Huijuan Xu, Baochang Zhang, Qixiang Ye:
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 21(11): 4593-4604 (2020) - [j62]Anran Zhang, Xiaolong Jiang, Baochang Zhang, Xianbin Cao:
Multi-scale Supervised Attentive Encoder-Decoder Network for Crowd Counting. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 28:1-28:20 (2020) - [c101]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. AAAI 2020: 10526-10533 - [c100]Zhen Liu, Baochang Zhang, Guodong Guo:
Few-Shot Learning with Complex-valued Neural Networks. BMVC 2020 - [c99]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. CVPR 2020: 1526-1535 - [c98]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo:
Cogradient Descent for Bilinear Optimization. CVPR 2020: 7956-7964 - [c97]Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-bandit Neural Architecture Search for Model Defense. ECCV (13) 2020: 70-85 - [c96]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:
The 1st Tiny Object Detection Challenge: Methods and Results. ECCV Workshops (5) 2020: 315-323 - [c95]Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han:
Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection. ECCV Workshops (5) 2020: 324-330 - [c94]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) 2020: 564-580 - [c93]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Interpretable Neural Network Decoupling. ECCV (15) 2020: 653-669 - [c92]Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. ECCV (22) 2020: 747-766 - [c91]Yue Li, Wenrui Ding, Yanjun Zhu, Yuanjun Huang, Yalong Jiang, Baochang Zhang:
Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification. ICIP 2020: 668-672 - [c90]Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang:
Interpretable Attention Guided Network for Fine-Grained Visual Classification. ICPR Workshops (4) 2020: 52-63 - [c89]Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann:
The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. ICPR Workshops (8) 2020: 480-489 - [c88]Chang Liu, Chunlei Liu, Linlin Yang, Baochang Zhang:
Tracker Evaluation for Small Object Tracking. ICPR Workshops (2) 2020: 622-629 - [c87]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. IJCAI 2020: 673-679 - [c86]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. IJCAI 2020: 1033-1039 - [c85]Xin Xia, Wenrui Ding, Li'an Zhuo, Baochang Zhang:
Tailored Pruning via Rollback Learning. NCAA 2020: 119-131 - [c84]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. NeurIPS 2020 - [c83]Jinxin Shao, Yutao Hu, Zhen Liu, Teli Ma, Baochang Zhang:
Improving Backbones Performance by Complex Architectures. PRCV (2) 2020: 394-406 - [c82]Teli Ma, Yizhi Wang, Jinxin Shao, Baochang Zhang, David S. Doermann:
Orthogonal Features Fusion Network for Anomaly Detection. VCIP 2020: 33-37 - [c81]Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang:
Long-Short Graph Memory Network for Skeleton-based Action Recognition. WACV 2020: 634-641 - [i41]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. CoRR abs/2001.08565 (2020) - [i40]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. CoRR abs/2002.10179 (2020) - [i39]Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. CoRR abs/2003.00217 (2020) - [i38]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. CoRR abs/2005.00057 (2020) - [i37]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji:
Cogradient Descent for Bilinear Optimization. CoRR abs/2006.09142 (2020) - [i36]Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, Guodong Guo, David S. Doermann:
iffDetector: Inference-aware Feature Filtering for Object Detection. CoRR abs/2006.12708 (2020) - [i35]Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-Bandit Neural Architecture Search for Model Defense. CoRR abs/2008.00698 (2020) - [i34]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR abs/2009.04247 (2020) - [i33]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:
The 1st Tiny Object Detection Challenge: Methods and Results. CoRR abs/2009.07506 (2020) - [i32]Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin:
Rotated Binary Neural Network. CoRR abs/2009.13055 (2020) - [i31]Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR abs/2011.04212 (2020) - [i30]Wenyu Zhao, Teli Ma, Xuan Gong, Baochang Zhang, David S. Doermann:
A Review of Recent Advances of Binary Neural Networks for Edge Computing. CoRR abs/2011.14824 (2020) - [i29]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-wise Updating for Online Hashing. CoRR abs/2012.00318 (2020) - [i28]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR abs/2012.04109 (2020)
2010 – 2019
- 2019
- [j61]Kai Chen, Xiao Song, Xiang Zhai, Baochang Zhang, Baocun Hou, Yi Wang:
An Integrated Deep Learning Framework for Occluded Pedestrian Tracking. IEEE Access 7: 26060-26072 (2019) - [j60]Qiangliang Guo, Jin Xiao, Xiaoguang Hu, Baochang Zhang:
Local convolutional features and metric learning for SAR image registration. Clust. Comput. 22(Supplement): 3103-3114 (2019) - [j59]Mingxing Lyu, Weihai Chen, Xilun Ding, Jianhua Wang, Zhongcai Pei, Baochang Zhang:
Development of an EMG-Controlled Knee Exoskeleton to Assist Home Rehabilitation in a Game Context. Frontiers Neurorobotics 13: 67 (2019) - [j58]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xianbin Cao:
ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery. IET Image Process. 13(14): 2694-2705 (2019) - [j57]Chunyu Xie, Ce Li, Baochang Zhang, Lili Pan, Qixiang Ye, Wei Chen:
Hierarchical residual stochastic networks for time series recognition. Inf. Sci. 471: 52-63 (2019) - [j56]Hainan Wang, Yunqi Miao, Hongren Wang, Baochang Zhang:
Convolutional Attention in Ensemble With Knowledge Transferred for Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(4): 643-647 (2019) - [j55]Mingyuan Mao, Hewei Zhang, Simeng Li, Baochang Zhang:
SEMANTIC-RTAB-MAP (SRM): A semantic SLAM system with CNNs on depth images. Math. Found. Comput. 2(1): 29-41 (2019) - [j54]Ce Li, Baochang Zhang, Hanwen Hu, Jing Dai:
Enhanced Bird Detection from Low-Resolution Aerial Image Using Deep Neural Networks. Neural Process. Lett. 49(3): 1021-1039 (2019) - [j53]Yunqi Miao, Jungong Han, Yongsheng Gao, Baochang Zhang:
ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos. Pattern Recognit. Lett. 125: 113-118 (2019) - [j52]Yuanjun Huang, Xianbin Cao, Qi Wang, Baochang Zhang, Xiantong Zhen, Xuelong Li:
Long-Short-Term Features for Dynamic Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1038-1047 (2019) - [j51]Shuman Tian, Xianbin Cao, Yan Li, Xiantong Zhen, Baochang Zhang:
Glance and Stare: Trapping Flying Birds in Aerial Videos by Adaptive Deep Spatio-Temporal Features. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2748-2759 (2019) - [j50]Hongren Wang, Ce Li, Xiantong Zhen, Wankou Yang, Baochang Zhang:
Gaussian Transfer Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 360-368 (2019) - [j49]Peicheng Zhou, Junwei Han, Gong Cheng, Baochang Zhang:
Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(7): 4823-4833 (2019) - [j48]Gengshen Wu, Jungong Han, Zijia Lin, Guiguang Ding, Baochang Zhang, Qiang Ni:
Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning. IEEE Trans. Ind. Electron. 66(12): 9868-9877 (2019) - [j47]Ce Li, Baochang Zhang, Chen Chen, Qixiang Ye, Jungong Han, Guodong Guo, Rongrong Ji:
Deep Manifold Structure Transfer for Action Recognition. IEEE Trans. Image Process. 28(9): 4646-4658 (2019) - [j46]Jiewan Zheng, Xianbin Cao, Baochang Zhang, Xiantong Zhen, Xiangbo Su:
Deep Ensemble Machine for Video Classification. IEEE Trans. Neural Networks Learn. Syst. 30(2): 553-565 (2019) - [c80]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. AAAI 2019: 8344-8351 - [c79]Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang:
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. AAAI 2019: 9291-9298 - [c78]Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. AAAI 2019: 9348-9355 - [c77]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. CVPR 2019: 2691-2699 - [c76]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR 2019: 2790-2799 - [c75]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR 2019: 2800-2809 - [c74]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR 2019: 6133-6142 - [c73]Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lü, Baochang Zhang:
Efficient Block Pruning Based on Kernel and Feature Stablization. DICTA 2019: 1-6 - [c72]Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. ICCV 2019: 1304-1313 - [c71]Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang:
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. ICCV 2019: 2941-2949 - [c70]Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. ICCV 2019: 4908-4916 - [c69]Minghui Shi, Jiaming Sun, Zhenhuan Huang, Hainan Wang, Chunlei Liu, Baochang Zhang:
Face Liveness Detection Benchmark based on Stereo Matching. ICDSC 2019: 10:1-10:6 - [c68]Chunlei Liu, Wenrui Ding, Yuan Hu, Hanlin Chen, Baochang Zhang, Shuo Liu:
Guided Convolutional Network. ICDSC 2019: 12:1-12:6 - [c67]Mohamed A. Kassab, Ali Maher, Fathy Elkazzaz, Baochang Zhang:
UAV Target Tracking By Detection via Deep Neural Networks. ICME 2019: 139-144 - [c66]Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji:
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. IJCAI 2019: 687-693 - [c65]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. IJCAI 2019: 854-860 - [c64]Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji:
Hypergraph Induced Convolutional Manifold Networks. IJCAI 2019: 2670-2676 - [c63]Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang:
Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. ACM Multimedia 2019: 48-56 - [c62]Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang:
Variational Structured Semantic Inference for Diverse Image Captioning. NeurIPS 2019: 1929-1939 - [c61]Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye:
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. WACV 2019: 171-178 - [c60]Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu:
Taylor Convolutional Networks for Image Classification. WACV 2019: 1271-1279 - [i27]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. CoRR abs/1903.00853 (2019) - [i26]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR abs/1903.09291 (2019) - [i25]Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. CoRR abs/1905.07529 (2019) - [i24]Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang:
Supervised Online Hashing via Similarity Distribution Learning. CoRR abs/1905.13382 (2019) - [i23]Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao:
Dynamic Distribution Pruning for Efficient Network Architecture Search. CoRR abs/1905.13543 (2019) - [i22]Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao:
Dynamic Neural Network Decoupling. CoRR abs/1906.01166 (2019) - [i21]Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. CoRR abs/1908.06314 (2019) - [i20]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. CoRR abs/1908.07748 (2019) - [i19]Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xiaoshuai Sun, Chia-Wen Lin, Jiayi Ji, Baochang Zhang, Feiyue Huang, Liujuan Cao:
Semantic-aware Image Deblurring. CoRR abs/1910.03853 (2019) - [i18]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. CoRR abs/1910.10853 (2019) - [i17]Chunlei Liu, Wenrui Ding, Jinyu Yang, Vittorio Murino, Baochang Zhang, Jungong Han, Guodong Guo:
Aggregation Signature for Small Object Tracking. CoRR abs/1910.10859 (2019) - [i16]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. CoRR abs/1911.10862 (2019) - 2018
- [j45]Linlin Yang, Ce Li, Chunyu Xie, Linna Wang, Baochang Zhang:
Adaptive multiclass correlation filters and its applications in the time series recognition. J. Electronic Imaging 27(03): 033010 (2018) - [j44]Ali Maher, Hussein Taha, Baochang Zhang:
Realtime multi-aircraft tracking in aerial scene with deep orientation network. J. Real Time Image Process. 15(3): 495-507 (2018) - [j43]Ce Li, Xingchao Liu, Xiangbo Su, Baochang Zhang:
Robust kernelized correlation filter with scale adaption for real-time single object tracking. J. Real Time Image Process. 15(3): 583-596 (2018) - [j42]Shangzhen Luan, Yan Li, Xiaodi Wang, Baochang Zhang:
Object detection and tracking benchmark in industry based on improved correlation filter. Multim. Tools Appl. 77(22): 29919-29932 (2018) - [j41]Baochang Zhang, Alessandro Perina, Ce Li, Qixiang Ye, Vittorio Murino, Alessio Del Bue:
Manifold constraint transfer for visual structure-driven optimization. Pattern Recognit. 77: 87-98 (2018) - [j40]Ce Li, Chunyu Xie, Baochang Zhang, Chen Chen, Jungong Han:
Deep Fisher discriminant learning for mobile hand gesture recognition. Pattern Recognit. 77: 276-288 (2018) - [j39]Chunlei Liu, Wenrui Ding, Xiaodi Wang, Baochang Zhang:
Hybrid Gabor Convolutional Networks. Pattern Recognit. Lett. 116: 164-169 (2018) - [j38]Hongguang Li, Yang Shi, Baochang Zhang, Yufeng Wang:
Superpixel-Based Feature for Aerial Image Scene Recognition. Sensors 18(1): 156 (2018) - [j37]Duona Zhang, Wenrui Ding, Baochang Zhang, Chunyu Xie, Hongguang Li, Chunhui Liu, Jungong Han:
Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles. Sensors 18(3): 924 (2018) - [j36]Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao:
Latent Constrained Correlation Filter. IEEE Trans. Image Process. 27(3): 1038-1048 (2018) - [j35]Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu:
Gabor Convolutional Networks. IEEE Trans. Image Process. 27(9): 4357-4366 (2018) - [j34]Junying Liu, Xianbin Cao, Yan Li, Baochang Zhang:
Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios. IEEE Trans. Intell. Transp. Syst. 19(1): 151-161 (2018) - [c59]Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao:
Deep Collaborative Tracking Networks. BMVC 2018: 87 - [c58]Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao:
Attentional Alignment Networks. BMVC 2018: 208 - [c57]Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu:
Modulated Convolutional Networks. CVPR 2018: 840-848 - [c56]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:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [c55]Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu:
Memory Attention Networks for Skeleton-based Action Recognition. IJCAI 2018: 1639-1645 - [c54]Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. IJCAI 2018: 2425-2432 - [c53]Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen:
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. IJCAI 2018: 2854-2860 - [c52]Yunqi Miao, Hainan Wang, Baochang Zhang:
Multiple Classifier System for Remote Sensing Images Classification. IScIDE 2018: 491-501 - [c51]Hongren Wang, Pengbo Wang, Xiaodi Wang, Tianchen Peng, Baochang Zhang:
A 3D Reconstruction System for Large Scene Based on RGB-D Image. IScIDE 2018: 518-527 - [c50]Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu:
Gabor Convolutional Networks. WACV 2018: 1254-1262 - [i15]Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen:
The Structure Transfer Machine Theory and Applications. CoRR abs/1804.00243 (2018) - [i14]Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xianbin Cao, Jianzhuang Liu:
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing. CoRR abs/1804.00256 (2018) - [i13]Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu:
Memory Attention Networks for Skeleton-based Action Recognition. CoRR abs/1804.08254 (2018) - [i12]Shangzhen Luan, Yan Li, Xiaodi Wang, Baochang Zhang:
Object detection and tracking benchmark in industry based on improved correlation filter. CoRR abs/1806.03853 (2018) - [i11]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. CoRR abs/1811.12755 (2018) - [i10]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR abs/1812.04368 (2018) - 2017
- [j33]Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasser Kehtarnavaz:
Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition. IEEE Access 5: 22590-22604 (2017) - [j32]Biyun Sheng, Qichang Hu, Jun Li, Wankou Yang, Baochang Zhang, Changyin Sun:
Filtered shallow-deep feature channels for pedestrian detection. Neurocomputing 249: 19-27 (2017) - [j31]Hainan Wang, Baochang Zhang, Hong Zheng, Yao Cao, Zhenhua Guo, Chengshan Qian:
The Robust Derivative Code for Object Recognition. KSII Trans. Internet Inf. Syst. 11(1): 272-287 (2017) - [j30]Linlin Yang, Ce Li, Jungong Han, Chen Chen, Qixiang Ye, Baochang Zhang, Xianbin Cao, Wanquan Liu:
Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets. IEEE J. Sel. Top. Signal Process. 11(7): 1072-1081 (2017) - [j29]Baochang Zhang, Jungong Han, Ling Shao:
Guest Editorial: Feature Learning from RGB-D Data for Multimedia Applications. Multim. Tools Appl. 76(3): 4243-4248 (2017) - [j28]Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang:
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. Multim. Tools Appl. 76(3): 4651-4669 (2017) - [j27]Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino, Jianzhuang Liu:
Adaptive Local Movement Modeling for Robust Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1515-1526 (2017) - [j26]Baochang Zhang, Yun Yang, Chen Chen, Linlin Yang, Jungong Han, Ling Shao:
Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier. IEEE Trans. Image Process. 26(10): 4648-4660 (2017) - [j25]Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji:
Output Constraint Transfer for Kernelized Correlation Filter in Tracking. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 693-703 (2017) - [c49]Yunqi Miao, Linna Wang, Chunyu Xie, Baochang Zhang:
Gesture Recognition Based on Deep Belief Networks. CCBR 2017: 439-446 - [c48]Ali Maher, Ce Li, Hanwen Hu, Baochang Zhang:
Realtime Human-UAV Interaction Using Deep Learning. CCBR 2017: 511-519 - [c47]Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR 2017: 2057-2066 - [c46]Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Cross-Modality Binary Code Learning via Fusion Similarity Hashing. CVPR 2017: 6345-6353 - [c45]Ce Li, Hanwen Hu, Baochang Zhang:
Evaluation of super-resolution on bird detection performance based on deep convolutional networks. GlobalSIP 2017: 803-807 - [c44]Yan Li, Xianbin Cao, Junying Liu, Baochang Zhang:
CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions. GlobalSIP 2017: 808-812 - [c43]Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino:
Manifold Constrained Low-Rank Decomposition. ICCV Workshops 2017: 1800-1808 - [c42]Ali Maher, Jiaxin Gu, Baochang Zhang:
Deep-Patch Orientation Network for Aircraft Detection in Aerial Images. IGTA 2017: 178-188 - [i9]Shangzhen Luan, Baochang Zhang, Chen Chen, Xianbin Cao, Jungong Han, Jianzhuang Liu:
Gabor Convolutional Networks. CoRR abs/1705.01450 (2017) - [i8]Ce Li, Chen Chen, Baochang Zhang, Qixiang Ye, Jungong Han, Rongrong Ji:
Deep Spatio-temporal Manifold Network for Action Recognition. CoRR abs/1705.03148 (2017) - [i7]Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han:
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition. CoRR abs/1707.03692 (2017) - [i6]Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino:
Manifold Constrained Low-Rank Decomposition. CoRR abs/1708.01846 (2017) - [i5]Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao:
Latent Constrained Correlation Filter. CoRR abs/1711.04192 (2017) - 2016
- [j24]Baochang Zhang, Alessandro Perina, Zhigang Li, Vittorio Murino, Jianzhuang Liu, Rongrong Ji:
Bounding Multiple Gaussians Uncertainty with Application to Object Tracking. Int. J. Comput. Vis. 118(3): 364-379 (2016) - [j23]Baochang Zhang, Suli Ji, Li Li, Shengping Zhang, Wankou Yang:
Sparsity analysis versus sparse representation classifier. Neurocomputing 171: 387-393 (2016) - [j22]Wankou Yang, Zhenyu Wang, Baochang Zhang:
Face recognition using adaptive local ternary patterns method. Neurocomputing 213: 183-190 (2016) - [j21]Changqing Zou, Tianfan Xue, Xiaojiang Peng, Honghua Li, Baochang Zhang, Ping Tan, Jianzhuang Liu:
An example-based approach to 3D man-made object reconstruction from line drawings. Pattern Recognit. 60: 543-553 (2016) - [j20]Chen Chen, Baochang Zhang, Hongjun Su, Wei Li, Lu Wang:
Land-use scene classification using multi-scale completed local binary patterns. Signal Image Video Process. 10(4): 745-752 (2016) - [j19]Lei Wang, Baochang Zhang, Jungong Han, Linlin Shen, Chengshan Qian:
Robust object representation by boosting-like deep learning architecture. Signal Process. Image Commun. 47: 490-499 (2016) - [c41]Yucong Peng, Peng Zhou, Hao Zheng, Baochang Zhang, Wankou Yang:
Multilinear Local Fisher Discriminant Analysis for Face Recognition. CCBR 2016: 130-138 - [c40]Chunyu Xie, Shangzhen Luan, Hainan Wang, Baochang Zhang:
Gesture Recognition Benchmark Based on Mobile Phone. CCBR 2016: 432-440 - [c39]Peng Zhou, Yucong Peng, Jifeng Shen, Baochang Zhang, Wankou Yang:
Local Dual-Cross Ternary Pattern for Feature Representation. CCBR 2016: 600-608 - [c38]Lei Ju, Ke Xie, Hao Zheng, Baochang Zhang, Wankou Yang:
GPCA-SIFT: A New Local Feature Descriptor for Scene Image Classification. CCPR (2) 2016: 286-295 - [c37]Ce Li, Jianchen Su, Baochang Zhang:
Cloud-Based Video Surveillance System Using EFD-GMM for Object Detection. ICCCS (1) 2016: 261-272 - [c36]Yun Yang, Borui Yang, Wei Wei, Baochang Zhang:
Human Facial Expression Recognition Based on 3D Cuboids and Improved K-means Clustering Algorithm. ICCCS (2) 2016: 358-367 - [c35]Xiangbo Su, Baochang Zhang, Linlin Yang, Zhigang Li, Yun Yang:
Scale Invariant Kernelized Correlation Filter Based on Gaussian Output. ICCCS (2) 2016: 567-577 - [c34]Behzad Mirmahboub, Hamed Kiani, Amran Bhuiyan, Alessandro Perina, Baochang Zhang, Alessio Del Bue, Vittorio Murino:
Person re-identification using sparse representation with manifold constraints. ICIP 2016: 774-778 - [c33]Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu:
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. IJCAI 2016: 3331-3337 - [c32]Linlin Yang, Chen Chen, Hainan Wang, Baochang Zhang, Jungong Han:
Adaptive Multi-class Correlation Filters. PCM (2) 2016: 680-688 - [i4]Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro:
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CoRR abs/1611.07544 (2016) - [i3]Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, LinLin Shen, Alessandro Perina, Rongrong Ji:
Output Constraint Transfer for Kernelized Correlation Filter in Tracking. CoRR abs/1612.05365 (2016) - 2015
- [j18]Baochang Zhang, Zhigang Li, Juan Liu:
A compressed sensing ensemble classifier with application to human detection. Neurocomputing 170: 221-227 (2015) - [j17]Jinming Duan, Zhenkuan Pan, Baochang Zhang, Wanquan Liu, Xue-Cheng Tai:
Fast algorithm for color texture image inpainting using the non-local CTV model. J. Glob. Optim. 62(4): 853-876 (2015) - [j16]Baochang Zhang, Zhili Mao, Wanquan Liu, Jianzhuang Liu:
Geometric Reinforcement Learning for Path Planning of UAVs. J. Intell. Robotic Syst. 77(2): 391-409 (2015) - [j15]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang:
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45(6): 1169-1179 (2015) - [c31]Yun Yang, Baochang Zhang, Linlin Yang, Chen Chen, Wankou Yang:
Action recognition using completed local binary patterns and multiple-class boosting classifier. ACPR 2015: 336-340 - [c30]Chen Chen, Junjun Jiang, Baochang Zhang, Wankou Yang, Jianzhong Guo:
Hyperspectral image classification using Gradient Local Auto-Correlations. ACPR 2015: 454-458 - [c29]Linlin Yang, Dandan Du, Baochang Zhang, Wankou Yang:
A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion. CCBR 2015: 499-507 - [c28]Lei Wang, Baochang Zhang, Wankou Yang:
Boosting-Like Deep Convolutional Network for Pedestrian Detection. CCBR 2015: 581-588 - [c27]Baochang Zhang, Alessandro Perina, Vittorio Murino, Alessio Del Bue:
Sparse representation classification with manifold constraints transfer. CVPR 2015: 4557-4565 - [c26]Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang:
Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. ISVC (1) 2015: 613-623 - [c25]Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino:
Adaptive Local Movement Modelling for Object Tracking. WACV 2015: 25-32 - [i2]Lei Wang, Baochang Zhang:
Boosting-like Deep Learning For Pedestrian Detection. CoRR abs/1505.06800 (2015) - 2014
- [j14]Baochang Zhang, Wanquan Liu, Zhili Mao, Jianzhuang Liu, LinLin Shen:
Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information. Autom. 50(3): 809-820 (2014) - [j13]Juan Liu, Baochang Zhang, Haoran Zeng, LinLin Shen, Jianzhuang Liu, Jason Zhao:
The BeiHang Keystroke Dynamics Systems, Databases and baselines. Neurocomputing 144: 271-281 (2014) - [c24]Alessandro Perina, Matteo Zanotto, Baochang Zhang, Vittorio Murino:
Location recognition on lifelog images via a discriminative combination of generative models. BMVC 2014 - [c23]Biyun Sheng, Wankou Yang, Baochang Zhang, Changyin Sun:
A Non-negative Low Rank and Sparse Model for Action Recognition. CCPR (2) 2014: 266-275 - [c22]Suli Ji, Baochang Zhang, Dandan Du, Biao He, Jianzhuang Liu:
Similarity Michaelis-Menten law pre-processing descriptor for face recognition. IJCNN 2014: 1272-1277 - 2013
- [j12]Yao Cao, Baochang Zhang, Jianzhuang Liu, Jiangsha Ma:
Weighted Margin Sparse Embedded classifier for brake cylinder detection. Neurocomputing 120: 560-568 (2013) - [c21]Rong Huang, Lian Zhu, Wankou Yang, Baochang Zhang, Changyin Sun:
An Improved Adaptive Weighted LTP Algorithm for Face Recognition Based on Single Training Sample. CCBR 2013: 9-15 - [c20]Baochang Zhang, Juan Liu, Yongsheng Gao, Jianzhuang Liu:
Compressed Sensing Ensemble Classifier for Human Detection. IScIDE 2013: 844-851 - [c19]Chuanqian Wang, Baochang Zhang, Zengchang Qin, Junyi Xiong:
Spatial Weighting for Bag-of-Features Based Image Retrieval. IUKM 2013: 91-100 - [c18]Xiaojun Wang, Chen Yang, Baochang Zhang, Lei Wang:
Interval Algorithm for Set-Membership Identification of MIMO LTI System. IUKM 2013: 126-136 - [i1]Juan Liu, Baochang Zhang, LinLin Shen, Jianzhuang Liu, Jason Zhao:
The BeiHang Keystroke Dynamics Authentication System. CoRR abs/1310.4485 (2013) - 2012
- [j11]Ran Xu, Jianbin Jiao, Baochang Zhang, Qixiang Ye:
Pedestrian detection in images via cascaded L1-norm minimization learning method. Pattern Recognit. 45(7): 2573-2583 (2012) - 2011
- [j10]Baochang Zhang, Yongsheng Gao, Hong Zheng:
Local Kernel Feature Analysis (LKFA) for object recognition. Neurocomputing 74(4): 575-579 (2011) - [j9]Baochang Zhang, Bineng Zhong, Yao Cao:
Complex background modeling based on Texture Pattern Flow with adaptive threshold propagation. J. Vis. Commun. Image Represent. 22(6): 516-521 (2011) - [j8]Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang Ye, Jianzhuang Liu:
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR). Pattern Recognit. 44(9): 2170-2183 (2011) - [j7]Baochang Zhang, Yongsheng Gao, Sanqiang Zhao, Bineng Zhong:
Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background. IEEE Trans. Circuits Syst. Video Technol. 21(1): 29-38 (2011) - [c17]Yilin Li, Baochang Zhang, Yao Cao, Sanqiang Zhao, Yongsheng Gao, Jianzhuang Liu:
Study on the BeiHang Keystroke Dynamics Database. IJCB 2011: 1-5 - [c16]Baochang Zhang, Shengping Zhang, Jianzhuang Liu:
Sparse regression analysis for object recognition. ICIP 2011: 2381-2384 - 2010
- [j6]Baochang Zhang, Yu Qiao:
Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis. Neural Comput. Appl. 19(4): 617-623 (2010) - [j5]Baochang Zhang, Lei Zhang, David Zhang, LinLin Shen:
Directional binary code with application to PolyU near-infrared face database. Pattern Recognit. Lett. 31(14): 2337-2344 (2010) - [j4]Baochang Zhang, Yongsheng Gao, Sanqiang Zhao, Jianzhuang Liu:
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor. IEEE Trans. Image Process. 19(2): 533-544 (2010) - [c15]Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao:
Cascaded L1-norm Minimization Learning (CLML) classifier for human detection. CVPR 2010: 89-96 - [c14]Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao:
Human detection in images via L1-norm Minimization Learning. ICASSP 2010: 3566-3569 - [c13]Qixiang Ye, Jianbin Jiao, Baochang Zhang:
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers. ICIP 2010: 881-884 - [c12]Sanqiang Zhao, Yongsheng Gao, Baochang Zhang:
Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition. ICPR 2010: 1273-1276
2000 – 2009
- 2009
- [j3]Sanqiang Zhao, Yongsheng Gao, Baochang Zhang:
Gabor feature constrained statistical model for efficient landmark localization and face recognition. Pattern Recognit. Lett. 30(10): 922-930 (2009) - [c11]Bineng Zhong, Shaohui Liu, Hongxun Yao, Baochang Zhang:
Multl-resolution background subtraction for dynamic scenes. ICIP 2009: 3193-3196 - [c10]Baochang Zhang, Hong Zheng, Zhongli Wang:
Local Kernel Mapping for Object Recognition. ICNC (2) 2009: 573-576 - 2008
- [j2]Baochang Zhang, Zhongli Wang, Bineng Zhong:
Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition. EURASIP J. Adv. Signal Process. 2008 (2008) - [c9]Baochang Zhang, Yongsheng Gao, Yu Qiao:
Face recognition based on Gradient Gabor feature. ICIP 2008: 1904-1907 - [c8]Sanqiang Zhao, Yongsheng Gao, Baochang Zhang:
Sobel-LBP. ICIP 2008: 2144-2147 - [c7]Baochang Zhang, Yongsheng Gao, Bineng Zhong:
Complex background modeling and motion detection based on Texture Pattern Flow. ICPR 2008: 1-4 - 2007
- [j1]Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao:
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition. IEEE Trans. Image Process. 16(1): 57-68 (2007) - 2006
- [c6]Bingpeng Ma, Fei Yang, Wen Gao, Baochang Zhang:
The Application of Extended Geodesic Distance in Head Poses Estimation. ICB 2006: 192-198 - [c5]Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao:
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition. ICPR (3) 2006: 523-526 - 2005
- [c4]Baochang Zhang, Xilin Chen, Wen Gao:
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition. AVBPA 2005: 966-976 - [c3]Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao:
Nonlinear Face Recognition Based on Maximum Average Margin Criterion. CVPR (1) 2005: 554-559 - 2004
- [c2]Baochang Zhang:
Gabor-Kernel Fisher Analysis for Face Recognition. PCM (2) 2004: 802-809 - 2003
- [c1]Baochang Zhang, Wen Gao, Shiguang Shan, Wei Wang:
Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search. AVBPA 2003: 52-61
Coauthor Index
[b1] [c153] [c146] [j121] [j119] [i74] [i68] [j103] [j95] [j91] [j86] [j85] [c127] [c116] [i64] [j84] [j83] [j82] [j76] [c112] [c110] [c107] [c106] [c103] [c102] [i53] [i50] [i49] [i48] [i42] [j70] [c101] [c98] [c97] [c92] [c89] [c86] [c82] [i39] [i38] [i37] [i36] [i35] [i34] [i30] [i28] [c80] [c78] [c77] [c76] [c75] [c74] [i27] [i26] [i18] [i16] [i11] [i10]
[j134] [i104] [j120] [j115] [j105] [j100] [j96] [c125] [j83] [j77] [c111] [c109] [c108] [i52] [i47] [i45] [j65] [c101] [c99] [c98] [c97] [c94] [c93] [c87] [c84] [i41] [i40] [i37] [i35] [i34] [i32] [i31] [i29] [j47] [c79] [c77] [c76] [c75] [c72] [c71] [c70] [c66] [c64] [c63] [c62] [i26] [i25] [i24] [i23] [i22] [i21] [i19] [i18] [i16] [c57] [c54] [i10] [j25] [c46] [i8] [j24] [i3]
[c155] [c152] [c151] [c150] [c140] [c138] [c137] [c135] [c134] [i84] [i82] [i80] [i79] [i78] [i70] [i66] [j89] [c125] [c122] [c117] [i62] [i59] [i54] [j83] [j82] [i47] [i45] [j70] [c101] [i34] [c80] [c78] [c77] [c75] [c72] [c70] [c65] [c60] [i25] [i21] [i20] [i18] [i16] [j35] [c57] [c55] [c50] [i14] [i13] [i11] [i10] [j27] [i9] [j24] [j21] [j16] [j14] [j13] [c22] [j12] [c20] [i1] [j8] [c17] [c16] [j4]
Lian Zhuo
aka: Li'an Zhuo
aka: Li'an Zhuo
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