Baochang Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
130
Venues
21
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*CVPR27 papers
- A*AAAI17 papers
- A*ECCV12 papers
- AMICCAI10 papers
- A*IJCAI10 papers
- A*ICCV9 papers
- AWACV9 papers
- BICPR7 papers
- ABMVC7 papers
- BICIP7 papers
- A*ICLR3 papers
- AustralasianDICTA2 papers
- MulticonferenceICASSP2 papers
- NationalISKE1 paper
- A*ICML1 paper
- CINDIN1 paper
- A*ICRA1 paper
- CVCIP1 paper
- NationalISVC1 paper
- BIJCNN1 paper
- NationalICNC1 paper
Papers
130 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. | Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang |
| 2026 | ISKE | KALConv: Kolmogorov-Arnold Local Convolution with Adaptive Multi-order Representation for Medical Image Segmentation. | Xundi Yang, Qiang Hua, Chunru Dong, Baozhu Shi, Baochang Zhang |
| 2025 | AAAI | Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. | Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo |
| 2025 | AAAI | Dynamic Clustering Convolutional Neural Network. | Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin |
| 2025 | AAAI | Graph Structure Refinement with Energy-based Contrastive Learning. | Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding, Baochang Zhang |
| 2025 | CVPR | SET: Spectral Enhancement for Tiny Object Detection. | Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang |
| 2025 | CVPR | DFM: Differentiable Feature Matching for Anomaly Detection. | Sheng Wu, Yimi Wang, Xudong Liu, Yuguang Yang, Runqi Wang, Guodong Guo, David S. Doermann, Baochang Zhang |
| 2025 | DICTA | Causally Guided Gaussian Perturbations for Out-of-Distribution Generalization in Medical Imaging. | Haoran Pei, Yuguang Yang, Kexin Liu, Baochang Zhang |
| 2025 | ICCV | Uncertainty-Aware Gradient Stabilization for Small Object Detection. | Huixin Sun, Yanjing Li, Linlin Yang, Xianbin Cao, Baochang Zhang |
| 2025 | ICCV | WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection. | Haodong Zhu, Wenhao Dong, Linlin Yang, Hong Li, Yuguang Yang, Yangyang Ren, Qingcheng Zhu, Zichao Feng, Changbai Li, Shaohui Lin, Runqi Wang, Xiaoyan Luo, Baochang Zhang |
| 2025 | ICLR | Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection. | Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie, Dawei Leng, Xianbin Cao, Baochang Zhang |
| 2025 | ICLR | Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training. | Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang |
| 2025 | ICLR | IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. | Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan |
| 2025 | MICCAI | Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2025 | MICCAI | Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval. | Baochang Zhang, Chen Jia, Shuting Liu, Heribert Schunkert, Nassir Navab |
| 2025 | MICCAI | Automated Constraint-Aware X-ray View Planning for Vascular Interventions Using Preoperative CTA. | Baochang Zhang, Abdelkader Saad, Heribert Schunkert, Nassir Navab |
| 2024 | AAAI | Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. | Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang |
| 2024 | AAAI | Federated Learning via Input-Output Collaborative Distillation. | Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann |
| 2024 | AAAI | Bi-ViT: Pushing the Limit of Vision Transformer Quantization. | Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang |
| 2024 | AAAI | AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. | Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang |
| 2024 | AAAI | Controllable Mind Visual Diffusion Model. | Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang |
| 2024 | CVPR | A General and Efficient Training for Transformer via Token Expansion. | Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin |
| 2024 | CVPR | UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. | Hong Li, Yutang Feng, Song Xue, Xuhui Liu, Bohan Zeng, Shanglin Li, Boyu Liu, Jianzhuang Liu, Shumin Han, Baochang Zhang |
| 2024 | CVPR | LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces. | Xuhui Liu, Bohan Zeng, Sicheng Gao, Shanglin Li, Yutang Feng, Hong Li, Boyu Liu, Jianzhuang Liu, Baochang Zhang |
| 2024 | CVPR | ZONE: Zero-Shot Instruction-Guided Local Editing. | Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xiuhui Liu, Jiaming Liu, Lin Li, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang |
| 2024 | ECCV | WAVE: Warping DDIM Inversion Features for Zero-Shot Text-to-Video Editing. | Yutang Feng, Sicheng Gao, Yuxiang Bao, Xiaodi Wang, Shumin Han, Juan Zhang, Baochang Zhang, Angela Yao |
| 2024 | ECCV | DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays. | Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Juan Zhang, Xiantong Zhen, Zhen Qian, Baochang Zhang |
| 2024 | ICML | Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. | Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun |
| 2024 | ICPR | ROI-Aware Dynamic Network Quantization for Neural Video Compression. | Jiamin Liu, Baochang Zhang, Xianbin Cao |
| 2024 | MICCAI | Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2024 | MICCAI | XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-Ray Angiography. | Baochang Zhang, Zichen Zhang, Shuting Liu, Shahrooz Faghihroohi, Heribert Schunkert, Nassir Navab |
| 2023 | AAAI | Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. | Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma |
| 2023 | AAAI | Resilient Binary Neural Network. | Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu |
| 2023 | CVPR | Implicit Diffusion Models for Continuous Super-Resolution. | Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang |
| 2023 | CVPR | AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. | Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang |
| 2023 | CVPR | Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. | Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang |
| 2023 | CVPR | Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. | Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu L, Baochang Zhang |
| 2023 | CVPR | Face Animation with an Attribute-Guided Diffusion Model. | Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang |
| 2023 | ICCV | Representation Disparity-aware Distillation for 3D Object Detection. | Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao |
| 2023 | MICCAI | Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. | Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer |
| 2023 | MICCAI | A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration. | Baochang Zhang, Shahrooz Faghihroohi, Mohammad Farid Azampour, Shuting Liu, Reza Ghotbi, Heribert Schunkert, Nassir Navab |
| 2022 | BMVC | MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. | Sicheng Gao, Yutang Feng, Linlin Yang, Xuhui Liu, Zichen Zhu, David S. Doermann, Baochang Zhang |
| 2022 | BMVC | Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. | Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao |
| 2022 | CVPR | Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. | Ge Kan, Jinhu L, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi |
| 2022 | CVPR | IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. | Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji |
| 2022 | ECCV | Anti-retroactive Interference for Lifelong Learning. | Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo |
| 2022 | ECCV | Recurrent Bilinear Optimization for Binary Neural Networks. | Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu L, Guodong Guo |
| 2022 | ECCV | IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. | Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu L |
| 2022 | ICASSP | Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. | Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng |
| 2022 | INDIN | Graph Attention Network for Financial Aspect-based Sentiment Classification with Contrastive Learning. | Zhenhuan Huang, Guansheng Wu, Xiang Qian, Baochang Zhang |
| 2022 | WACV | Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. | Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann |
| 2021 | AAAI | SA-BNN: State-Aware Binary Neural Network. | Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding |
| 2021 | AAAI | TRQ: Ternary Neural Networks With Residual Quantization. | Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo |
| 2021 | BMVC | POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. | Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo |
| 2021 | CVPR | Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. | Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | CVPR | Layer-Wise Searching for 1-Bit Detectors. | Sheng Xu, Junhe Zhao, Jinhu L, Baochang Zhang, Shumin Han, David S. Doermann |
| 2021 | ICCV | Aha! Adaptive History-driven Attack for Decision-based Black-box Models. | Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu |
| 2021 | ICCV | Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. | Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | ICCV | IDARTS: Interactive Differentiable Architecture Search. | Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann |
| 2021 | IJCAI | Uncertainty-aware Binary Neural Networks. | Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann |
| 2021 | ICRA | Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes. | Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann |
| 2021 | WACV | Deformable Gabor Feature Networks for Biomedical Image Classification. | Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo |
| 2021 | WACV | Style Consistent Image Generation for Nuclei Instance Segmentation. | Xuan Gong, Shuyan Chen, Baochang Zhang, David S. Doermann |
| 2021 | WACV | Long-range Attention Network for Multi-View Stereo. | Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang |
| 2020 | AAAI | Binarized Neural Architecture Search. | Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji |
| 2020 | BMVC | Few-Shot Learning with Complex-valued Neural Networks. | Zhen Liu, Baochang Zhang, Guodong Guo |
| 2020 | CVPR | HRank: Filter Pruning Using High-Rank Feature Map. | Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao |
| 2020 | CVPR | Cogradient Descent for Bilinear Optimization. | Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo |
| 2020 | ECCV | Anti-bandit Neural Architecture Search for Model Defense. | Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann |
| 2020 | ECCV | Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection. | Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han |
| 2020 | ECCV | NAS-Count: Counting-by-Density with Neural Architecture Search. | Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann |
| 2020 | ECCV | Interpretable Neural Network Decoupling. | Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao |
| 2020 | ECCV | PAMS: Quantized Super-Resolution via Parameterized Max Scale. | Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji |
| 2020 | ECCV | The 1st Tiny Object Detection Challenge: Methods and Results. | Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi |
| 2020 | ICIP | Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification. | Yue Li, Wenrui Ding, Yanjun Zhu, Yuanjun Huang, Yalong Jiang, Baochang Zhang |
| 2020 | ICPR | The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. | Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann |
| 2020 | ICPR | Interpretable Attention Guided Network for Fine-Grained Visual Classification. | Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu L, Baochang Zhang |
| 2020 | ICPR | Tracker Evaluation for Small Object Tracking. | Chang Liu, Chunlei Liu, Linlin Yang, Baochang Zhang |
| 2020 | IJCAI | Channel Pruning via Automatic Structure Search. | Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian |
| 2020 | IJCAI | CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. | Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann |
| 2020 | WACV | Long-Short Graph Memory Network for Skeleton-based Action Recognition. | Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang |
| 2020 | VCIP | Orthogonal Features Fusion Network for Anomaly Detection. | Teli Ma, Yizhi Wang, Jinxin Shao, Baochang Zhang, David S. Doermann |
| 2019 | AAAI | Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. | Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann |
| 2019 | AAAI | Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. | Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang |
| 2019 | AAAI | Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. | Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann |
| 2019 | CVPR | Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. | Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao |
| 2019 | CVPR | Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. | Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2019 | CVPR | Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. | Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann |
| 2019 | CVPR | Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. | Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann |
| 2019 | DICTA | Efficient Block Pruning Based on Kernel and Feature Stablization. | Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu L, Baochang Zhang |
| 2019 | ICCV | Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. | Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang |
| 2019 | ICCV | Bayesian Optimized 1-Bit CNNs. | Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji |
| 2019 | ICCV | Multinomial Distribution Learning for Effective Neural Architecture Search. | Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian |
| 2019 | IJCAI | Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. | Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji |
| 2019 | IJCAI | Hypergraph Induced Convolutional Manifold Networks. | Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji |
| 2019 | IJCAI | Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. | Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo |
| 2019 | MICCAI | DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation. | Shuting Liu, Baochang Zhang, Xi Li, Yiqing Liu, Mengying Hu, Tian Guan, Yonghong He |
| 2019 | MICCAI | A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation. | Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao |
| 2019 | MICCAI | Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data. | Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang, Aichi Chien |
| 2019 | WACV | Starts Better and Ends Better: A Target Adaptive Image Signature Tracker. | Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye |
| 2019 | WACV | Taylor Convolutional Networks for Image Classification. | Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu |
| 2018 | BMVC | Deep Collaborative Tracking Networks. | Xiaolong Jiang, Xiantong Zhen, Baochang Zhang, Jian Yang, Xianbin Cao |
| 2018 | BMVC | Attentional Alignment Networks. | Lei Yue, Xin Miao, Pengbo Wang, Baochang Zhang, Xiantong Zhen, Xianbin Cao |
| 2018 | CVPR | Modulated Convolutional Networks. | Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu |
| 2018 | ECCV | VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. | Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganire, 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 |
| 2018 | IJCAI | Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. | Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang |
| 2018 | IJCAI | Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. | Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen |
| 2018 | IJCAI | Memory Attention Networks for Skeleton-based Action Recognition. | Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu |
| 2018 | WACV | Gabor Convolutional Networks. | Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu |
| 2017 | CVPR | Cross-Modality Binary Code Learning via Fusion Similarity Hashing. | Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang |
| 2017 | CVPR | Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. | Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang |
| 2016 | ICIP | Person re-identification using sparse representation with manifold constraints. | Behzad Mirmahboub, Hamed Kiani, Amran Bhuiyan, Alessandro Perina, Baochang Zhang, Alessio Del Bue, Vittorio Murino |
| 2016 | IJCAI | 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. | Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu |
| 2015 | CVPR | Sparse representation classification with manifold constraints transfer. | Baochang Zhang, Alessandro Perina, Vittorio Murino, Alessio Del Bue |
| 2015 | ISVC | Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. | Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang |
| 2015 | WACV | Adaptive Local Movement Modelling for Object Tracking. | Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino |
| 2014 | BMVC | Location recognition on lifelog images via a discriminative combination of generative models. | Alessandro Perina, Matteo Zanotto, Baochang Zhang, Vittorio Murino |
| 2014 | IJCNN | Similarity Michaelis-Menten law pre-processing descriptor for face recognition. | Suli Ji, Baochang Zhang, Dandan Du, Biao He, Jianzhuang Liu |
| 2011 | ICIP | Sparse regression analysis for object recognition. | Baochang Zhang, Shengping Zhang, Jianzhuang Liu |
| 2010 | CVPR | Cascaded L1-norm Minimization Learning (CLML) classifier for human detection. | Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao |
| 2010 | ICASSP | Human detection in images via L1-norm Minimization Learning. | Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao |
| 2010 | ICIP | Fast pedestrian detection with multi-scale orientation features and two-stage classifiers. | Qixiang Ye, Jianbin Jiao, Baochang Zhang |
| 2010 | ICPR | Performance Evaluation of Micropattern Representation on Gabor Features for Face Recognition. | Sanqiang Zhao, Yongsheng Gao, Baochang Zhang |
| 2009 | ICIP | Multl-resolution background subtraction for dynamic scenes. | Bineng Zhong, Shaohui Liu, Hongxun Yao, Baochang Zhang |
| 2009 | ICNC | Local Kernel Mapping for Object Recognition. | Baochang Zhang, Hong Zheng, Zhongli Wang |
| 2008 | ICIP | Face recognition based on Gradient Gabor feature. | Baochang Zhang, Yongsheng Gao, Yu Qiao |
| 2008 | ICIP | Sobel-LBP. | Sanqiang Zhao, Yongsheng Gao, Baochang Zhang |
| 2008 | ICPR | Complex background modeling and motion detection based on Texture Pattern Flow. | Baochang Zhang, Yongsheng Gao, Bineng Zhong |
| 2006 | ICPR | Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition. | Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen, Wen Gao |
| 2005 | CVPR | Nonlinear Face Recognition Based on Maximum Average Margin Criterion. | Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao |