Jaycee Choi, PhD Candidate, recently attended the Computer Vision Pattern Recognition (CVPR) conference in Nashville, Tennessee. CVPR is one of the premier international conferences in computer science that brings together researchers in computer vision.
Jaycee presented her research at two workshops: CV4Science and CV4Animals. Her first-author manuscript was peer-reviewed and accepted into the CV4Animals workshop. This paper, “Evaluating keypoint choice for data-efficient mouse behavior classification”, evaluates how keypoint selection affects downstream behavior classification tasks. Read the full paper here: https://lnkd.in/gcSRmX4u
