CVPR 21 Workshop on CV4Animals

March 24th, 2021 Daniela Lopez de Luise
Call for Paper
CVPR 2021 Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling 
Submission deadline: 11:59 pm, Apri 30, 2021 (Pacific Time)
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Abstract
Many biological organisms have evolved to exhibit diverse behaviors, and understanding these behaviors is a fundamental goal of multiple disciplines including neuroscience, biology, animal husbandry, ecology, and animal conservation. These analyses require objective, repeatable, and scalable measurements of animal behaviors that are not possible with existing methodologies that leverage manual encoding from animal experts and specialists. Computer vision is having an impact across multiple disciplines by providing new tools for the detection, tracking, and analysis of animal behavior. This workshop brings together experts across fields to stimulate this new field of computer-vision-based animal behavioral understanding.

We solicit exciting non-archival papers on the related topics of CV4Animals. The selected papers will be presented in the workshop as a poster (will not be published in proceedings). There are two tracks.

Track 1 (unpublished work): Paper must follow the CVPR format, and be limited to 4 pages plus references. Papers will be reviewed in accordance with double blind policy, based on relevance, significance, and novelty.

Track 2 (published work): We look for papers already published at a peer-reviewed venue. Full paper can be submitted without a modification.


Our goal is to increase visibility and unique problems that arise when using computer vision to understand animal behavior. We welcome any papers around topics of:

– Animal Re-identification

– 3D Animal Reconstruction

– Animal Tracking and Modeling

– Animal Behavioral Analysis

– Animal Datasets

– CV Applications in Neuroscience, Biology, Animal Husbandry, Ecology, and Animal Conservation


Submission deadline: 11:59 pm, Apri 30, 2021 (Pacific Time)

Notification of selection: May 21, 2021

Submission: CMT link (Track 1) and Google form (Track 2)

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