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

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

@string{ISIC22 = "Skin Image Analysis"}

@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{BioAttack23 = "Manipulation, Adversarial and Presentation Attacks in Biometrics"}

@string{BioAttack22 = "Manipulation, Adversarial and Presentation Attacks in Biometrics"}

@string{Explain-Bio23 = "Explainable and Interpretable Artificial Intelligence for Biometrics"}

@string{Explain-Bio22 = "Explainable and Interpretable Artificial Intelligence for Biometrics"}

@string{Perform-Bio22 = "Demographic Variations in Performance of Biometrics and Related Technology"}

@string{CVMeta23 = "Computer Vision for Metaverse"}

@string{CVMeta22 = "Computer Vision for Metaverse"}

@string{PeopleAn22 = "Challenge on People Analysis: From Face, Body and Fashion to 3D Virtual Avatars"}

@string{SignLang22 = "Sign Language Understanding"}

@string{RHWC23 = "To NeRF or not to NeRF: A View Synthesis Challenge for Human Heads"}

@string{VDU23 = "Vision Datasets Understanding"}

@string{VDU22 = "Vision Datasets Understanding"}

@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{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"}

Last update:Mar 25, 2024 at 16:07:51