@string{VOT23 = "Visual Object Tracking Challenge"}

@string{VOT22 = "Visual Object Tracking Challenge"}

@string{VOT21 = "Visual Object Tracking Challenge"}

@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{AOTW21 = "Airborne Object Tracking"}

@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{Scarce22 = "Vision with Biased or Scarce Data"}

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

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

@string{ILDAV21 = "Interactive Labeling and Data Augmentation for Vision"}

@string{VisionAlg99 = "Vision Algorithms Workshop: Theory and Practice"}

@string{Optimization11 = "Efficient Algorithms for Global Optimization Methods in Computer Vision"}

@string{Uncertainty23 = "Uncertainty Estimation for Computer Vision"}

@string{Uncertainty22 = "Uncertainty Quantification for Computer Vision"}

@string{OutDistri23 = "Challenge for Out-of-Distribution Generalization in Computer Vision"}

@string{OutDistri22 = "Challenge for Out-of-Distribution Generalization in Computer Vision"}

@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{CDPath21 = "Computational Challenges in Digital Pathology"}

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

@string{FGAHI23 = "Workshop on Face and Gesture Analysis for Health Informatics"}

@string{FG4COVID19-21 = "Face and Gesture Analysis for COVID-19"}

@string{MIA-COVID19D22 = "AI-Enabled Medical Image Analysis and COVID-19 Diagnosis"}

@string{MIA-COVID19D21 = "AI-Enabled Medical Image Analysis and COVID-19 Diagnosis"}

@string{MIACOVID22 = "Medical Imaging Analysis for Covid-19"}

@string{CVAMD23 = "Computer Vision for Automated Medical Diagnosis"}

@string{CVAMD21 = "Computer Vision for Automated Medical Diagnosis"}

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

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

@string{MEDXF22 = "Medical Transformers"}

@string{DeepHealth22 = "Deep-Learning and High Performance Computing to Boost Biomedical Applications"}

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

@string{AI-Care22 = "Artificial Intelligence for Preterm Infants' HealthCare - AI-Care"}

@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{CVMI24 = "Computer Vision for Microscopy Image Analysis"}

@string{CVMI23 = "Computer Vision for Microscopy Image Analysis"}

@string{CVMI22 = "Computer Vision for Microscopy Image Analysis"}

@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"}