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Schloss Dagstuhl - Leibniz Center for Informatics
For some weeks now, the dblp team has been receiving anexceptionally high number of support and error correction requests from the community. While we are grateful and happy to process all incoming emails, please assume thatit will currently take us several weeks to read and address your request. Most importantly,please refrain from sending your request multiple times. This will not advance your issue and will only complicate and extend the time required to address it. Thank you for your understanding.
Joint Declaration:The freedom of science is at the heart of liberal, democratic societies. Without this freedom, it is impossible for scientific efforts to be geared toward gaining knowledge and facts. It is therefore extremely worrying that the scientific freedom is coming under increasing pressure in various regions of the world.(read more)
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18th ICCV Workshops 2021: Montreal, QC, Canada

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    Adversarial Robustness in the Real World (AROW)

    Robust Subspace Learning and Applications in Computer Vision (RSLCV)

    Distributed Smart Cameras (DSC)

    Neural Architectures:Past, Present and Future (NeurArch)

    AI-Enabled Medical Image Analysis and COVID-19 Diagnosis (MIACOV19D)

    Computational Challenges in Digital Pathology (CDPath)

    Learning To Understand Aerial Images (LUAI)

    Low-Power Computer Vision (LPCV)

    Multi-Modal Video Reasoning and Analyzing (MMVRA)

    Chalearn Face Anti-Spoofing (ChaLearn_FAS)

    When Graph Signal Processing Meets Computer Vision (GSP-CV)

    3D Object Detection From Images (3DODI)

    Embedded and Real-World Computer Vision in Autonomous Driving (ERCVAD)

    Visual Inductive Priors for Data-Efficient Deep Learning (VIPriors)

    Physics Based Vision Meets Deep Learning (PBDL)

    Catch UAVs That Want To Watch You:Detection and Tracking of Unmanned Aerial Vehicle in the Wild and Anti-UAV Challenge (AntiUAV)

    Computer Vision in Plant Phenotyping and Agriculture (CVPPA)

    Differentiable 3D Vision and Graphics (Diff3D)

    Face Bio-Metrics Under COVID?Masked Face Recognition (MFR)

    Interactive Labeling and Data Augmentation for Vision (ILDAV)

    Assistive Computer Vision and Robotics (ACVR)

    Advances in Image Manipulation (AIM)

    Structural and Compositional Learning on 3D Data (StruCo3D)

    Simulation Technology for Embodied AI (SEAI)

    Deep Learning for Geometric Computing (DLGC)

    Understanding Social Behavior in Dyadic and Small Group Interactions (DYAD)

    Deep Multi-Task Learning in Computer Vision (DeepMTL)

    Human Trajectory and Pose Dynamics Forecasting in the Wild (SoMoF)

    Video Retrieval Methods and Their Limits (ViRaL)

    Large-Scale Fine-Grained Food AnalysIs (LFFAI)

    More Exploration, Less Exploitation (MELEX)

    Remote Physiological Signal Sensing (RePSS)

    Sketching for Human Expressivity (SHE)

    Traditional Computer Vision in the Age of Deep Learning (TradiCV)

    Computer Vision in Human-Robot Collaborative Factories of the Future (CVinHRC)

    Crossmodal Social Animation (XSAnim)

    Video Scene Parsing in the Wild (VSPW)

    Visual Object Tracking (VOT)

    Vision for Vitals (V4V)

    Vision Meets Drones:A Challenge (VisDrone)

    Autonomous Vehicle Vision (AVVision)

    Closing the Loop Between Vision and Language (CLVL)

    AI for Creative Video Editing and Understanding (CVEU)

    Computer Vision for Automated Medical Diagnosis (CVAMD)

    Egocentric Perception, Interaction and Computing (EPIC)

    Real-World Computer Vision From Inputs With Limited Quality (RLQ)

    Affective Behavior Analysis In-the-Wild (ABAW)

    Computer Vision in the Ocean (OceanVision)

    Eye Tracking for AR/VR:Sensors and Applications (OpenEDS)

    Responsible Pattern Recognition and Machine Intelligence (RPRMI)

    Airborne Object Tracking (AOTW)

    Occluded Video Instance Segmentation (OVIS)

    Analysis of Aerial Motion Imagery (WAAMI)

    Multi-Agent Interaction and Relational Reasoning (MAIR2)

    Learning for Computational Imaging (LCI)

    Human-Centric Trustworthy Computer Vision:From Research to Applications (HTCV)

    Topology, Algebra, and Geometry in Computer Vision (TAG-CV)

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    dblp was originally created in 1993 at:

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