What honey bee brain chemistry tells us about human learning

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...
GitHub

MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

We plan to release TensorRT accelerated implementation and adapting more matching networks for MAC-VO. If you are interested, please star ⭐ this repo to stay tuned. [Nov 2025] We release the ...
IEEE

LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning

Abstract: Compositional Zero-Shot Learning (CZSL) has been applied to various scenarios, including scene understanding, visual-language representation, and domain adaptation. Despite numerous ...
GitHub

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

Welcome to the official codebase for Franca (pronounced Fran-ka), the first fully open-source vision foundation model—including data, code, and pretrained weights. Franca matches or surpasses the ...
Hosted on MSN

Basic falls: Learning safe and controlled ground techniques

A simple demonstration of basic fall techniques focused on safety, body awareness, and impact control. Ideal for beginners looking to build confidence and reduce injury risk during training.
IEEE

Clustering-Driven State Embedding for Reinforcement Learning Under Visual Distractions

Abstract: Visual reinforcement learning (VRL) aims to optimize policies by utilizing information derived from visual sensory inputs. To tackle the challenges of high dimensionality and sample ...