Zhang, Baochang

86 publications

AAAI 2025 Asymptotic Unbiased Sample Sampling to Speed up Sharpness-Aware Minimization Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo

NeurIPS 2025 DAMamba: Vision State Space Model with Dynamic Adaptive Scan Tanzhe Li, Caoshuo Li, Jiayi Lyu, Hongjuan Pei, Baochang Zhang, Taisong Jin, Rongrong Ji

CVPR 2025 DFM: Differentiable Feature Matching for Anomaly Detection Sheng Wu, Yimi Wang, Xudong Liu, Yuguang Yang, Runqi Wang, Guodong Guo, David Doermann, Baochang Zhang

AAAI 2025 Dynamic Clustering Convolutional Neural Network Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin

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

AAAI 2025 Graph Structure Refinement with Energy-Based Contrastive Learning Xianlin Zeng, Yufeng Wang, Yuqi Sun, Guodong Guo, Wenrui Ding, Baochang Zhang

ICLR 2025 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

ICLR 2025 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

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

ICCV 2025 Uncertainty-Aware Gradient Stabilization for Small Object Detection Huixin Sun, Yanjing Li, Linlin Yang, Xianbin Cao, Baochang Zhang

ICCV 2025 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

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

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

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

NeurIPS 2024 CLIP in Mirror: Disentangling Text from Visual Images Through Reflection Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang

AAAI 2024 Controllable Mind Visual Diffusion Model Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

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

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

CVPRW 2024 LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces Xuhui Liu, Bohan Zeng, Sicheng Gao, Shanglin Li, Yutang Feng, Hong Li, Boyu Liu, Jianzhuang Liu, Baochang Zhang

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

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

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

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

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

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

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

CVPRW 2023 Face Animation with an Attribute-Guided Diffusion Model Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang

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

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

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

NeurIPS 2023 Q-DM: An Efficient Low-Bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

ICCV 2023 Representation Disparity-Aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

AAAI 2023 Resilient Binary Neural Network Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

ECCV 2022 Anti-Retroactive Interference for Lifelong Learning Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo

CVPR 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi

NeurIPS 2022 FNeVR: Neural Volume Rendering for Face Animation Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang

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

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

NeurIPS 2022 Q-ViT: Accurate and Fully Quantized Low-Bit Vision Transformer Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

ECCV 2022 Recurrent Bilinear Optimization for Binary Neural Networks Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo

WACV 2022 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David Doermann

ICCV 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu

WACV 2021 Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David Doermann, Li'an Zhuo

NeurIPS 2021 Dual-Stream Network for Visual Recognition Mingyuan Mao, Peng Gao, Renrui Zhang, Honghui Zheng, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, Shumin Han

ICCV 2021 IDARTS: Interactive Differentiable Architecture Search Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David Doermann

CVPR 2021 Layer-Wise Searching for 1-Bit Detectors Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David Doermann

WACV 2021 Long-Range Attention Network for Multi-View Stereo Xudong Zhang, Yutao Hu, Haochen Wang, Xianbin Cao, Baochang Zhang

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

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

WACV 2021 Style Consistent Image Generation for Nuclei Instance Segmentation Xuan Gong, Shuyan Chen, Baochang Zhang, David Doermann

AAAI 2021 TRQ: Ternary Neural Networks with Residual Quantization Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo

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

IJCAI 2021 Uncertainty-Aware Binary Neural Networks Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann

ECCV 2020 Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann

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

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

IJCAI 2020 Channel Pruning via Automatic Structure Search Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

ECCVW 2020 Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han

ECCV 2020 Interpretable Neural Network Decoupling Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

WACV 2020 Long-Short Graph Memory Network for Skeleton-Based Action Recognition Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang

ECCV 2020 NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David Doermann

ECCV 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

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

ECCVW 2020 The 1st Tiny Object Detection Challenge: Methods and Results Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

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

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

IJCAI 2019 Hypergraph Induced Convolutional Manifold Networks Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji

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

IJCAI 2019 Rectified Binary Convolutional Networks for Enhancing the Performance of 1-Bit DCNNs Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo

WACV 2019 Starts Better and Ends Better: A Target Adaptive Image Signature Tracker Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye

WACV 2019 Taylor Convolutional Networks for Image Classification Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu

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

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

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

WACV 2018 Gabor Convolutional Networks Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu

IJCAI 2018 Memory Attention Networks for Skeleton-Based Action Recognition Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu

IJCAI 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-Scale Cross-Modal Retrieval Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen

ECCVW 2018 VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

CVPR 2017 Cross-Modality Binary Code Learning via Fusion Similarity Hashing Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang

ICCVW 2017 Manifold Constrained Low-Rank Decomposition Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino

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

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

WACV 2015 Adaptive Local Movement Modelling for Object Tracking Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino

CVPR 2015 Sparse Representation Classification with Manifold Constraints Transfer Baochang Zhang, Alessandro Perina, Vittorio Murino, Alessio Del Bue

CVPR 2010 Cascaded L1-Norm Minimization Learning (CLML) Classifier for Human Detection Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao

CVPR 2005 Nonlinear Face Recognition Based on Maximum Average Margin Criterion Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao