@string{UCCV13 = "User-Centered Computer Vision"}

@string{BioIm18 = "Bio-Image Computing"}

@string{BioIm17 = "Bio-Image Computing"}

@string{Million17 = "Recognizing One Million Celebrities in the Real World"}

@string{FAPER20 = "Workshop on Fine Art Pattern Extraction and Recognition"}

@string{CVFAD21 = "Computer Vision for Fashion, Art and Design"}

@string{Fashion19 = "Computer Vision for Fashion, Art and Design"}

@string{Fashion18 = "Computer Vision for Fashion, Art and Design"}

@string{CVFashion17 = "Computer Vision for Fashion"}

@string{DHM21 = "Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management"}

@string{DHM18 = "Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management"}

@string{BEFace18 = "Bias Estimation in Face Analytics"}

@string{PoseTrack18 = "PoseTrack Challenge: Articulated People Tracking in the Wild"}

@string{ISIC21 = "Skin Image Analysis"}

@string{ISIC20 = "Skin Image Analysis"}

@string{Objectionable18 = "Workshop on Objectionable Content and Misinformation"}

@string{PersonContext18 = "Person in Context Workshop and Challenge"}

@string{IWBDAF20 = "Workshop on Biometric Data Analysis and Forensics"}

@string{WMWB20 = "Workshop on Mobile and Wearable Biometrics"}

@string{MOTC16 = "Benchmarking Multi-target Tracking MOTChallenge"}

@string{GT13 = "Ground Truth - What Is a Good Dataset"}

@string{QU3ST12 = "2.5D Sensing Technologies in Motion: The Quest for 3D"}

@string{BEST16 = "Benchmark and Evaluation of Surveillance Task"}

@string{BeFIT12 = "Workshop on Benchmarking Facial Image Analysis Technologies"}

@string{MMHAU20 = "Multi-Visual-Modality Human Activity Understanding"}

@string{PEAction11 = "Workshop on Performance Evaluation on Recognition of Human Actions and Pose"}

@string{VOT19 = "Visual Object Tracking Challenge"}

@string{VOT18 = "Visual Object Tracking Challenge"}

@string{VOT17 = "Visual Object Tracking Challenge"}

@string{VOT16 = "Visual Object Tracking Challenge"}

@string{VOT15 = "Visual Object Tracking Challenge"}

@string{VOT14 = "Visual Object Tracking Challenge"}

@string{VOT13 = "Visual Object Tracking Challenge"}

@string{PETS17 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS16 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS13 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS-Winter09 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS06 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS05 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS03 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS02 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{PETS01 = "International Workshop on Performance Evaluation of Tracking and Surveillance"}

@string{MTT15 = "Workshop on Benchmarking Multi-target Tracking"}

@string{EuroCOW-M3DMaN19 = "European Calibration and Orientation Workshop"}

@string{EuroCOW16 = "European Calibration and Orientation Workshop"}

@string{EuroCOW14 = "European Calibration and Orientation Workshop"}

@string{BenCOS07 = "Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images"}

@string{BenCOS05 = "Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images"}

@string{Preregister19 = "Should We Pre-register Experiments in Computer Vision?"}

@string{EEMCV05 = "Workshop on Empirical Evaluation Methods in Computer Vision"}

@string{EEMCV02 = "Workshop on Empirical Evaluation Methods in Computer Vision"}

@string{EEMCV01 = "Workshop on Empirical Evaluation Methods in Computer Vision"}

@string{EEMCV98 = "Workshop on Empirical Evaluation Methods in Computer Vision"}

@string{AttenPerf05 = "Attention and Performance in Computational Vision"}

@string{WIDER19 = "WIDER Face and Person Challenge"}

@string{LFR19 = "Lightweight Face Recognition Challenge"}

@string{FRGC05 = "Workshop on Face Recognition Grand Challenge Experiments"}

@string{PERF96 = "ECCV Workshop on Performance Characteristics of Vision Algorithms"}

@string{Bench95 = "ECVnet Workshop on Benchmarking"}

@string{LocalFea16 = "Local Features State of the Art, Open Problems and Performance Evaluation"}

@string{Scarce18 = "Vision with Biased or Scarce Data"}

@string{Subjective18 = "Visual Understanding of Subjective Attributes of Data"}

@string{MMBIA12 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA10 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA09 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA08 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA07 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA06 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA01 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA96 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{MMBIA00 = "Workshop on Mathematical Methods in Biomedical Image Analysis"}

@string{AIDP20 = "Artificial Intelligence for Digital Pathology"}

@string{CAIHA20 = "Computational and Affective Intelligence in Healthcare Applications for Vulnerable Populations"}

@string{CARE20 = "pattern recognition for positive teChnology And eldeRly wEllbeing"}

@string{AIHA20 = "Artificial Intelligence for Healthcare Applications"}

@string{VRMI19 = "Visual Recognition for Medical Image "}

@string{SeSAMI16 = "Spectral and Shape Analysis in Medical Imaging"}

@string{RAMBO17 = "Reconstruction, Segmentation, and Analysis of Medical Images"}

@string{RAMBO16 = "Reconstruction, Segmentation, and Analysis of Medical Images"}

@string{MCBMIIA16 = "Mathematical and Computational Methods in Biomedical Imaging and Image Analysis"}

@string{MCBMIIA15 = "Mathematical and Computational Methods in Biomedical Imaging and Image Analysis"}

@string{MLMI16 = "Machine Learning in Medical Imaging"}

@string{MLMI15 = "Machine Learning in Medical Imaging"}

@string{MLMI14 = "Machine Learning in Medical Imaging"}

@string{MLMI12 = "Machine Learning in Medical Imaging"}

@string{MLMI11 = "Machine Learning in Medical Imaging"}

@string{VirtualColon10 = "Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities"}

@string{CVMI21 = "Computer Vision for Microscopy Image Analysis"}

@string{Microscopy20 = "Computer Vision for Microscopy Image Analysis"}

@string{Microscopy18 = "Computer Vision for Microscopy Image Analysis"}

@string{Microscopy17 = "Computer Vision for Microscopy Image Analysis"}

@string{Microscopy16 = "Computer Vision for Microscopy Image Analysis"}

@string{EndoTect20 = "EndoTect: A Competition on Automatic Disease Detection in the Gastrointestinal Tract"}

@string{CARE17 = "Computer-Assisted and Robotic Endoscopy"}

@string{CARE16 = "Computer-Assisted and Robotic Endoscopy"}

@string{CARE16 = "Computer-Assisted and Robotic Endoscopy"}

@string{CARE15 = "Computer-Assisted and Robotic Endoscopy"}

@string{MBIA19 = "Multimodal Brain Image Analysis"}

@string{MFCA19 = "Multimodal Brain Image Analysis"}

@string{MBIA12 = "Multimodal Brain Image Analysis"}