Profiles in ECE: Rucha Apte (MS ECE 2021)
From the internships that inspired her interest in signal & image processing and machine learning to late night study sessions at the Duderstadt to her background in classical dance, Master’s student Rucha Apte shares her journey with us.
Live public street cams are tracking social distancing
Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.
Creating a place where kids of all abilities can play together
Prof. Hun-Seok Kim helped design iGYM, an augmented reality system that allows disabled and able-bodied people to play physical games together.
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.
Laura Balzano receives NSF CAREER Award to improve machine learning for big data applications
Her research deciphering messy data sets will first tackle applications in genetics and computer vision.
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
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.
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.
Yelin Kim wins Best Student Paper Award at ACM Multimedia 2014 for research in facial emotion recognition
She computationally measures, represents, and analyzes human behavior data to illuminate fundamental human behavior and emotion perception, and develop natural human-machine interfaces.