WACV 2024 Workshop – CVS4Smalls CFP] CV4Smalls Computer Vision with Small Data: A Focus on Infants and Endangered Animals

[WACV 2024 Workshop] CV4Smalls Computer Vision with Small Data: A Focus on Infants and Endangered Animals, in conjunction with IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, JAN 4-8 IN WAIKOLOA, HAWAII 

(https://cv4smalls.sites.northeastern.edu/

 

Workshop Overview:

 

The CV4Smalls workshop is dedicated to exploring the challenges and innovations in applying computer vision techniques to scenarios where data is limited, with a specific emphasis on infants and endangered animals. As these domains present unique data constraints, the workshop aims to foster discussions and solutions that overcome these challenges and leverage computer vision for data-critical applications. 

Topics of Interest

-Transfer Learning, Domain adaptation 

– Learning with Weak or No Supervision 

– Zero-Shot and Few-Shot Learning 

– Active and Continual Learning 

– Learning with Data Augmentation: Data-Driven Generative Models 

– Learning from Synthetic Data: Physics-Based Simulation 

– Multi-Task and Meta Learning 

– Learning with Enforced Structured Prior Knowledge 

Applications of Interest: 

– Infant/Animal Image Segmentation, Registration, and Classification 

– Infant/Animal 2D or 3D Pose Estimation, and Posture Classification 

– Infant/Animal Facial Landmark Detection and Tracking 

– Infant/Animal Action Recognition 

– Infant/Animal Multi-View Multi-Subject Tracking 

– Infant/Animal 3D Body Reconstruction, Image/Motion/Video Generation 

 

Important Dates: 

Paper Submission Deadline: 22nd October, 2023 

Notification of Acceptance: 9th November, 2023 

Camera-Ready Deadline: 19th November, 2023 

Workshop Date: 3-7th January, 2024 


Paper Submission: https://cmt3.research.microsoft.com/CV4Smalls2024

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Dr. Chen Chen, Assistant Professor
CRCV | Center for Research in Computer Vision
HEC 221 | University of Central Florida 
4328 Scorpius St., Orlando, FL 32816-2365
E-mail:
chen.chen@crcv.ucf.edu | URL: https://www.crcv.ucf.edu/chenchen/

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