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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
- Baochang Zhang 0002
![[0000-0002-4064-8763]](https://dblp1.uni-trier.de/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
[j133]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)- 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) - [c155]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 - [c154]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 - [c153]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 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]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 - [c146]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 - [c145]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 - [c144]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 - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]Jiaxin Deng, Junbiao Pang, Baochang Zhang:
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. CoRR abs/2406.08001 (2024) - [i88]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) - [i87]Jiaxin Deng, Junbiao Pang, Baochang Zhang, Qingming Huang:
Bilateral Sharpness-Aware Minimization for Flatter Minima. CoRR abs/2409.13173 (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]