SLAM-ming good hardware for drone navigation
Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.
Crafting better digital systems with ECE PhD student Jie-Fang Zhang
Zhang is recognized with the Chia-Lun Lo Fellowship for his work designing hardware solutions that could help support computer vision and machine learning.
Paper award for training computer vision systems more accurately
Kyle Min awarded Towner Prize for Distinguished Academic Achievement
Kyle Min researches how computer vision can analyze law enforcement body cameras.
COVE: a tool for advancing progress in computer vision
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
Thomas Chen earns NSF Graduate Research Fellowship for research in artificial neural networks for computer vision
Thomas and his group are working to improve upon artificial neural network design through a process called sparse coding.