Wu, Feng

113 publications

ICLR 2025 A Graph Enhanced Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICLR 2025 Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu

NeurIPS 2025 Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu

ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu

NeurIPS 2025 Benchmarking End-to-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu

ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu

CVPR 2025 Conical Visual Concentration for Efficient Large Vision-Language Models Long Xing, Qidong Huang, Xiaoyi Dong, Jiajie Lu, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang, Feng Wu, Dahua Lin

ICML 2025 Cross-Modal Alignment via Variational Copula Modelling Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu

ICLR 2025 D-FINE: Redefine Regression Task of DETRs as Fine-Grained Distribution Refinement Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu

ICLR 2025 Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu

ICML 2025 Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Shaojie Tang, Xiangyang Li

NeurIPS 2025 Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu

ICML 2025 Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang, Feng Wu

AAAI 2025 FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program Yixiang Hu, Feng Wu, Shaoang Li, Yifang Zhao, Xiang-Yang Li

NeurIPS 2025 GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng

IJCAI 2025 Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning Xiaotian Pan, Junhao Fang, Feng Wu, Sijia Zhang, Yixiang Hu, Shaoang Li, Xiangyang Li

NeurIPS 2025 High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICLR 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu

ICLR 2025 Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Xiangyang Li

NeurIPS 2025 MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks Wantong Xie, Yi-Xiang Hu, Jieyang Xu, Feng Wu, Xiangyang Li

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

AAAI 2025 Relaxed Class-Consensus Consistency for Semi-Supervised Semantic Segmentation Huayu Mai, Rui Sun, Feng Wu

CVPR 2025 Structure-Aware Correspondence Learning for Relative Pose Estimation Yihan Chen, Wenfei Yang, Huan Ren, Shifeng Zhang, Tianzhu Zhang, Feng Wu

ICCV 2025 TokenUnify: Scaling up Autoregressive Pretraining for Neuron Segmentation Yinda Chen, Haoyuan Shi, Xiaoyu Liu, Te Shi, Ruobing Zhang, Dong Liu, Zhiwei Xiong, Feng Wu

ICML 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

ICLR 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu

ICML 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

AAAI 2024 Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation Naisong Luo, Rui Sun, Yuwen Pan, Tianzhu Zhang, Feng Wu

MLHC 2024 G-Transformer: Counterfactual Outcome Prediction Under Dynamic and Time-Varying Treatment Regimes Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-wei H. Lehman

CVPR 2024 Learning Large-Factor EM Image Super-Resolution with Generative Priors Jiateng Shou, Zeyu Xiao, Shiyu Deng, Wei Huang, Peiyao Shi, Ruobing Zhang, Zhiwei Xiong, Feng Wu

AAAI 2024 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu

NeurIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Yongdong Zhang, Bin Li, Feng Wu

AAAI 2024 Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu

CVPR 2024 RankMatch: Exploring the Better Consistency Regularization for Semi-Supervised Semantic Segmentation Huayu Mai, Rui Sun, Tianzhu Zhang, Feng Wu

ICML 2024 Reinforcement Learning Within Tree Search for Fast Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

IJCAI 2024 Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control Yang Qu, Jinming Ma, Feng Wu

CVPR 2024 Scene Adaptive Sparse Transformer for Event-Based Object Detection Yansong Peng, Hebei Li, Yueyi Zhang, Xiaoyan Sun, Feng Wu

AAAI 2024 Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration Shenglong Zhou, Zhiwei Xiong, Feng Wu

ICML 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu

NeurIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

NeurIPS 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu

IJCAI 2023 A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman

CVPR 2023 Adaptive Spot-Guided Transformer for Consistent Local Feature Matching Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu

ICCV 2023 Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu

IJCAI 2023 Appearance Prompt Vision Transformer for Connectome Reconstruction Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu

AAAI 2023 Better and Faster: Adaptive Event Conversion for Event-Based Object Detection Yansong Peng, Yueyi Zhang, Peilin Xiao, Xiaoyan Sun, Feng Wu

CVPR 2023 Camouflaged Instance Segmentation via Explicit De-Camouflaging Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu

CVPR 2023 D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu

NeurIPS 2023 DAW: Exploring the Better Weighting Function for Semi-Supervised Semantic Segmentation Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu

ICLR 2023 De Novo Molecular Generation via Connection-Aware Motif Mining Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu

CVPR 2023 DualRel: Semi-Supervised Mitochondria Segmentation from a Prototype Perspective Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu

ICCV 2023 GET: Group Event Transformer for Event-Based Vision Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu

ICCV 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation Xiaoyu Liu, Wei Huang, Zhiwei Xiong, Shenglong Zhou, Yueyi Zhang, Xuejin Chen, Zheng-Jun Zha, Feng Wu

ICLR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

NeurIPS 2023 State Sequences Prediction via Fourier Transform for Representation Learning Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu

NeurIPS 2023 VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors Li-wei Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark

ECCV 2022 Cross-Modality Transformer for Visible-Infrared Person Re-Identification Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu

CVPR 2022 Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition Jiamin Wu, Tianzhu Zhang, Zhe Zhang, Feng Wu, Yongdong Zhang

CVPR 2022 Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading Ganchao Tan, Yang Wang, Han Han, Yang Cao, Feng Wu, Zheng-Jun Zha

AAAI 2022 ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha

NeurIPS 2022 Stochastic Window Transformer for Image Restoration Jie Xiao, Xueyang Fu, Feng Wu, Zheng-Jun Zha

CVPR 2021 Action Unit Memory Network for Weakly Supervised Temporal Action Localization Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang

NeurIPS 2021 ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu

CVPR 2021 Diverse Part Discovery: Occluded Person Re-Identification with Part-Aware Transformer Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu

ICCV 2021 Foreground Activation Maps for Weakly Supervised Object Localization Meng Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, Feng Wu

CVPR 2021 Lesion-Aware Transformers for Diabetic Retinopathy Grading Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang

ICCV 2021 Task-Aware Part Mining Network for Few-Shot Learning Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu

AAAI 2021 Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs Jiajun Chen, Huarui He, Feng Wu, Jie Wang

CVPR 2021 Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu

AAAI 2021 Training Spiking Neural Networks with Accumulated Spiking Flow Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu

CVPR 2021 Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Tian Qi, Yongdong Zhang, Feng Wu

ECCVW 2020 Learning to Restore ssTEM Images from Deformation and Corruption Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu

NeurIPS 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan

IJCAI 2020 Monte-Carlo Tree Search for Scalable Coalition Formation Feng Wu, Sarvapali D. Ramchurn

AAAI 2019 A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels Shaobo Min, Xuejin Chen, Zheng-Jun Zha, Feng Wu, Yongdong Zhang

IJCAI 2019 Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation Siying Wu, Zheng-Jun Zha, Zilei Wang, Houqiang Li, Feng Wu

ECCV 2018 Deep Boosting for Image Denoising Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu

ECCVW 2018 Deep Residual Attention Network for Spectral Image Super-Resolution Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu

CVPRW 2018 HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Feng Wu

ECCVW 2018 PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

AAAI 2018 Privacy-Preserving Policy Iteration for Decentralized POMDPs Feng Wu, Shlomo Zilberstein, Xiaoping Chen

ICCVW 2017 HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, Feng Wu

IJCAI 2017 Integrating Answer Set Programming with Semantic Dictionaries for Robot Task Planning Dongcai Lu, Yi Zhou, Feng Wu, Zhao Zhang, Xiaoping Chen

IJCAI 2017 Multi-Agent Planning with Baseline Regret Minimization Feng Wu, Shlomo Zilberstein, Xiaoping Chen

CVPR 2017 Snapshot Hyperspectral Light Field Imaging Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu

ICCVW 2017 UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong

JAIR 2016 A Disaster Response System Based on Human-Agent Collectives Sarvapali D. Ramchurn, Trung Dong Huynh, Feng Wu, Yuki Ikuno, Jack Flann, Luc Moreau, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts, Nicholas R. Jennings

IJCAI 2016 Coordinating Human-UAV Teams in Disaster Response Feng Wu, Sarvapali D. Ramchurn, Xiaoping Chen

CVPRW 2016 Deeply Exploit Depth Information for Object Detection Saihui Hou, Zilei Wang, Feng Wu

IJCAI 2015 A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments Sarvapali D. Ramchurn, Joel E. Fischer, Yuki Ikuno, Feng Wu, Jack Flann, Antony Waldock

IJCAI 2015 Agile Planning for Real-World Disaster Response Feng Wu, Sarvapali D. Ramchurn, Wenchao Jiang, Joel E. Fischer, Tom Rodden, Nicholas R. Jennings

CVPR 2015 High-Speed Hyperspectral Video Acquisition with a Dual-Camera Architecture Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, Feng Wu

CVPR 2014 CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images Huanjing Yue, Xiaoyan Sun, Jingyu Yang, Feng Wu

AAAI 2014 Regret-Based Multi-Agent Coordination with Uncertain Task Rewards Feng Wu, Nicholas R. Jennings

CVPR 2014 Separable Kernel for Image Deblurring Lu Fang, Haifeng Liu, Feng Wu, Xiaoyan Sun, Houqiang Li

NeurIPS 2013 Bayesian Mixture Modelling and Inference Based Thompson Sampling in Monte-Carlo Tree Search Aijun Bai, Feng Wu, Xiaoping Chen

CVPR 2013 Depth Acquisition from Density Modulated Binary Patterns Zhe Yang, Zhiwei Xiong, Yueyi Zhang, Jiao Wang, Feng Wu

CVPR 2013 Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu, Yong Rui

IJCAI 2013 Monte-Carlo Expectation Maximization for Decentralized POMDPs Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings

CVPR 2012 3D Visual Phrases for Landmark Recognition Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu

IJCAI 2011 Online Planning for Ad Hoc Autonomous Agent Teams Feng Wu, Shlomo Zilberstein, Xiaoping Chen

UAI 2010 Rollout Sampling Policy Iteration for Decentralized POMDPs Feng Wu, Shlomo Zilberstein, Xiaoping Chen

AAAI 2010 Trial-Based Dynamic Programming for Multi-Agent Planning Feng Wu, Shlomo Zilberstein, Xiaoping Chen

CVPR 2009 Image Hallucination with Feature Enhancement Zhiwei Xiong, Xiaoyan Sun, Feng Wu

CVPR 2005 Fast Selection of Linear Features in Image Data Feng Wu, Haim Schweitzer

CVPRW 2005 Fast Selection of Linear Features in Image Data Feng Wu, Haim Schweitzer

ECCV 2002 Very Fast Template Matching Haim Schweitzer, J. W. Bell, Feng Wu