For #CVPR2025, dive into the latest research papers from some of the brightest minds in AI 👇

Sonata: Advancing Self-Supervised Learning for 3D Point Representations Sonata represents a significant leap forward in the field of 3D self-supervised learning. By identifying and addressing the geometric shortcut and introducing a flexible, efficient framework, it’s an exceptionally robust 3D point representation. This work advances the state of the art and sets the stage for future innovations in 3D perception and its applications. Learn more ➡️

Reading Recognition in the Wild: A Dataset for Understanding Human Behaviors During Reading from an Egocentric Sensor Suite This large multimodal dataset features video, eye gaze, and head pose sensor outputs, created to help solve the task of reading recognition from wearable devices. Notably, this is the first egocentric dataset to feature high-frequency eye-tracking data collected at 60 Hz. Explore ➡️