@string{DeepLearn-C16 = "Deep Vision: Deep Learning in Computer Vision"}

@string{DeepLearn16 = "Deep Vision: Deep Learning in Computer Vision"}

@string{DeepLearn15 = "Deep Vision: Deep Learning in Computer Vision"}

@string{DeepLearn14 = "Deep Vision: Deep Learning in Computer Vision"}

@string{LCV05 = "IEEE Workshop on Learning in Computer Vision and Pattern Recognition"}

@string{LCV04 = "IEEE Workshop on Learning in Computer Vision and Pattern Recognition"}

@string{RSLCV21 = "Robust Subspace Learning and Applications in Computer Vision"}

@string{RSL-CV19 = "Robust Subspace Learning and Applications in Computer Vision"}

@string{RSL-CV17 = "Robust Subspace Learning and Applications in Computer Vision"}

@string{RSL-CV15 = "Robust Subspace Learning and Applications in Computer Vision"}

@string{Subspace10 = "Subspace Methods"}

@string{Subspace09 = "Subspace Methods"}

@string{LLID22 = "Learning From Limited or Imperfect Data"}

@string{LLID21 = "Learning From Limited or Imperfect Data"}

@string{L3D-IVU24 = "Learning With Limited Labelled Data for Image and Video Understanding"}

@string{L3D-IVU23 = "Learning With Limited Labelled Data for Image and Video Understanding"}

@string{L3D-IVU22 = "Learning With Limited Labelled Data for Image and Video Understanding"}

@string{VL3W20 = "Visual Learning With Limited Labels: Zero-Shot, Few-Shot,
Any-Shot, and Cross-Domain Few-Shot Learning"}

@string{NICE24 = "New frontiers for zero-shot Image Captioning Evaluation"}

@string{ZeroShot24 = "Representation Learning with Very Limited Images: Zero-shot, Unsupervised, and Synthetic Learning in the Era of Big Models"}

@string{CORSMAL20 = "CORSMAL Challenge: Multi-modal Fusion and Learning for Robotics"}

@string{CADK22 = "Computational Aspects of Deep Learning"}

@string{CADK20 = "Computational Aspects of Deep Learning"}

@string{PBDL24 = "Physics Based Vision Meets Deep Learning"}

@string{PBDL21 = "Physics Based Vision Meets Deep Learning"}

@string{PBDL19 = "Physics Based Vision Meets Deep Learning"}

@string{PBVDL17 = "Physics Based Vision Meets Deep Learning"}

@string{ManifLearn20 = "Manifold Learning, From Euclid to Riemann"}

@string{Manifold17 = "Manifold Learning, From Euclid to Riemann"}

@string{CEFRL19 = "Compact and Efficient Feature Representation and Learning in Computer Vision"}

@string{CEFR-LCV18 = "Compact and Efficient Feature Representation and Learning in Computer Vision"}

@string{CEFR-LCV17 = "Compact and Efficient Feature Representation and Learning in Computer Vision"}

@string{VCL-ViSU09 = "Joint Workshop on Visual and Contextual Learning from Annotated Images and Videos, and Visual Scene Understanding"}

@string{NRTL07 = "Workshop on Non-rigid Registration and Tracking through Learning"}

@string{Diff-CVML21 = "Diff-CVML: Differential Geometry in Computer Vision and Machine
Learning"}

@string{Diff-CVML20 = "Diff-CVML: Differential Geometry in Computer Vision and Machine
Learning"}

@string{Diff-CVML18 = "Diff-CVML: Differential Geometry in Computer Vision and Machine
Learning"}

@string{Diff-CVML17 = "Diff-CVML: Differential Geometry in Computer Vision and Machine
Learning"}

@string{HyperMLPA19 = "ISPRS Workshop Hyperspectral Sensing Meets Machine Learning and Pattern Analysis"}

@string{CVGeoSpatial26 = "Computer Vision for Geospatial Image Analysis"}

@string{SGIntel26 = "Scene Graph for Structured Intelligencd"}

@string{SG2RL24 = "Workshop on Scene Graphs and Graph Representation Learning"}

@string{SG2RL23 = "Workshop on Scene Graphs and Graph Representation Learning"}

@string{SGRL19 = "Scene Graph Representation and Learning"}

@string{FSLCV14 = "Feature and Similarity Learning for Computer Vision"}

@string{MMDLCA20 = "Multi-modal Deep Learning: Challenges and Applications"}

@string{MULA24 = "Multimodal Learning and Applications"}

@string{MULA23 = "Multimodal Learning and Applications"}

@string{MULA22 = "Multimodal Learning and Applications"}

@string{MULWS20 = "Multimodal Learning and Applications"}

@string{MULA21 = "Multimodal Learning and Applications Workshop"}

@string{MultLearnApp18 = "Multimodal Learning and Applications Workshop"}

@string{WTDDL20 = "Text and Documents in the Deep Learning Era"}

@string{StruCo3D23 = "Structural and Compositional Learning on 3D Data"}

@string{StruCo3D21 = "Structural and Compositional Learning on 3D Data"}

@string{MultiEmbodied25 = "Multi-Agent Embodied Intelligent Systems Meet
Generative-AI Era: Opportunities, Challenges and Futures"}

@string{SEAI21 = "Simulation Technology for Embodied AI"}

@string{DeepMTL21 = "Deep Multi-Task Learning in Computer Vision"}

@string{CLI19 = "Learning for Computational Imaging"}

@string{L3DGM20 = "Learning 3D Generative Models"}

@string{L3D24 = "Learning 3D with Multi-View Supervision"}

@string{MELEX21 = "More Exploration, Less Exploitation"}

@string{LCI21 = "Learning for Computational Imaging"}

@string{CL4REAL22 = "Novel Benchmarks and Approaches for Real-World Continual Learning"}

@string{OOLearn22 = "Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications"}

@string{AdvRob22 = "Adversarial Robustness in the Real World"}

@string{ArtOfRobust22 = "The Art of Robustness: Devil and Angel in Adversarial Machine Learning"}

@string{WhatNext25 = "What is Next in Multimodal Foundation Models?"}

@string{WhatNext24 = "What is Next in Multimodal Foundation Models?"}

@string{GenerativeFM24 = "Evaluation of Generative Foundation Models"}

@string{FoundationBio26 = "Workshop on Large Foundation Models in Biology and Biomedicine"}

@string{LargeVM25 = "Efficient Large Vision Models"}

@string{LargeVM24 = "Efficient Large Vision Models"}

@string{Pretrain24 = "Pretraining Large Vision and Multimodal Models"}

@string{Pretrain23 = "Pretraining Large Vision and Multimodal Models"}

@string{NFVLR23 = "Workshop and Challenges for New Frontiers in Visual Language Reasoning: Compositionality, Prompts and Causality"}

@string{XAI4CV25 = "Explainable AI for Computer Vision Workshop"}

@string{XAI4CV23 = "Explainable AI for Computer Vision Workshop"}

@string{NIVT23 = "New Ideas in Vision Transformers"}

@string{LIMIT23 = "Representation Learning with Very Limited Images: The Potential of Self-,
Synthetic- and Formula-Supervision"}

@string{MAT24 = "Test-Time Adaptation: Model, Adapt Thyself!"}

@string{Prompting24 = "Prompting in Vision"}

@string{Distill24 = "Dataset Distillation for Computer Vision"}

@string{LENS26 = "LENS: Learning and Exploitation of Latent Space Geometries"}

@string{WACV26 = "WACV"}

@string{WACVW26 = "WACV"}

@string{WACV25 = "WACV"}

@string{WACV24 = "WACV"}

@string{WACVW24 = "WACV"}

@string{WACV23 = "WACV"}

@string{WACVW23 = "WACV"}

@string{WACV22 = "WACV"}

@string{WACVW22 = "WACV"}

@string{WACV21 = "WACV"}

@string{WACVW21 = "WACV"}

@string{WACV20 = "WACV"}

@string{WACVWS20 = "WACV"}

@string{WACV19 = "WACV"}

@string{WACV18 = "WACV"}

@string{WACV17 = "WACV"}