Abstract: Monocular depth estimation is a crucial task to measure distance relative to a camera, which is important for applications, such as robot navigation and self-driving. Traditional frame-based ...
Abstract: To address the issues of accuracy and generalization in action recognition within complex tennis training scenarios, this study proposes an Adaptive Semantic-Enhanced Convolutional Neural ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
In this guest blog, Karen McNulty Walsh of Brookhaven National Laboratory explains how Michigan Technological University ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
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