Zhang, Ke

36 publications

ICCV 2025 Details Matter for Indoor Open-Vocabulary 3D Instance Segmentation Sanghun Jung, Jingjing Zheng, Ke Zhang, Nan Qiao, Albert Y. C. Chen, Lu Xia, Chi Liu, Yuyin Sun, Xiao Zeng, Hsiang-Wei Huang, Byron Boots, Min Sun, Cheng-Hao Kuo

ICLR 2025 Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill

AAAI 2025 Fine-Grained Adaptive Visual Prompt for Generative Medical Visual Question Answering Ting Yu, Zixuan Tong, Jun Yu, Ke Zhang

ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss Yi Huang, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan

ICLR 2025 IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan

CVPR 2025 Less Is More: Efficient Image Vectorization with Adaptive Parameterization Kaibo Zhao, Liang Bao, Yufei Li, Xu Su, Ke Zhang, Xiaotian Qiao

ICCV 2025 OpenM3D: Open Vocabulary Multi-View Indoor 3D Object Detection Without Human Annotations Peng-Hao Hsu, Ke Zhang, Fu-En Wang, Tao Tu, Ming-Feng Li, Yu-Lun Liu, Albert Y. C. Chen, Min Sun, Cheng-Hao Kuo

AAAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan

ICML 2025 Super Deep Contrastive Information Bottleneck for Multi-Modal Clustering Zhengzheng Lou, Ke Zhang, Yucong Wu, Shizhe Hu

NeurIPS 2025 TANDEM: Bi-Level Data Mixture Optimization with Twin Networks Jiaxing Wang, Deping Xiang, Jin Xu, Mingyang Yi, Guoqiang Gong, Zicheng Zhang, Haoran Li, Pengzhang Liu, Zhen Chen, Ke Zhang, Ju Fan, Qixia Jiang

WACV 2025 V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations Jin-Cheng Jhang, Tao Tu, Fu-En Wang, Ke Zhang, Min Sun, Cheng-Hao Kuo

CVPR 2025 Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Quan Zhang, Jinwei Fang, Rui Yuan, Xi Tang, Yuxin Qi, Ke Zhang, Chun Yuan

ICML 2024 Nearest Neighbour Score Estimators for Diffusion Generative Models Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

WACV 2024 ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation Xuefeng Hu, Ke Zhang, Lu Xia, Albert Chen, Jiajia Luo, Yuyin Sun, Ken Wang, Nan Qiao, Xiao Zeng, Min Sun, Cheng-Hao Kuo, Ram Nevatia

WACV 2024 TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval Yue Ruan, Han-Hung Lee, Yiming Zhang, Ke Zhang, Angel X. Chang

NeurIPS 2023 AGD: An Auto-Switchable Optimizer Using Stepwise Gradient Difference for Preconditioning Matrix Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang

WACV 2023 CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-Wild 2D Annotations Cheng-Yen Yang, Jiajia Luo, Lu Xia, Yuyin Sun, Nan Qiao, Ke Zhang, Zhongyu Jiang, Jenq-Neng Hwang, Cheng-Hao Kuo

WACV 2023 Human-in-the-Loop Video Semantic Segmentation Auto-Annotation Nan Qiao, Yuyin Sun, Chong Liu, Lu Xia, Jiajia Luo, Ke Zhang, Cheng-Hao Kuo

ICCV 2023 ImGeoNet: Image-Induced Geometry-Aware Voxel Representation for Multi-View 3D Object Detection Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun

NeurIPS 2023 RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy Hongting Ye, Yalu Zheng, Yueying Li, Ke Zhang, Youyong Kong, Yonggui Yuan

MLOSS 2023 SQLFlow: An Extensible Toolkit Integrating DB and AI Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, ChaoChao Chen

CVPR 2022 CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision Ke Zhang, Xiahai Zhuang

IJCAI 2022 Hierarchical Diffusion Scattering Graph Neural Network Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong

IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun

IJCAI 2021 Structure Guided Lane Detection Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei

NeurIPS 2021 Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu

AAAI 2020 Unsupervised Detection of Sub-Events in Large Scale Disasters Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes

ECCV 2018 Retrospective Encoders for Video Summarization Ke Zhang, Kristen Grauman, Fei Sha

WACVW 2017 Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition Li Geng, Ke Zhang, Xinzhou Wei, Xin Feng

ECML-PKDD 2016 Do Street Fairs Boost Local Businesses? a Quasi-Experimental Analysis Using Social Network Data Ke Zhang, Konstantinos Pelechrinis

CVPR 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman

ECCV 2016 Video Summarization with Long Short-Term Memory Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman

AAAI 2014 Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints Ke Zhang, Wei Zhang, Sheng Zeng, Xiangyang Xue

IJCAI 2013 Multi-View Embedding Learning for Incompletely Labeled Data Wei Zhang, Ke Zhang, Pan Gu, Xiangyang Xue

IJCAI 2013 Sparse Reconstruction for Weakly Supervised Semantic Segmentation Ke Zhang, Wei Zhang, Yingbin Zheng, Xiangyang Xue

ICCVW 2009 Real-Time Accurate Stereo with Bitwise Fast Voting on CUDA Ke Zhang, Jiangbo Lu, Gauthier Lafruit, Rudy Lauwereins, Luc Van Gool