The goal of the Human Sensing Lab is to develop new machine learning algorithms to model and understand human behavior from sensory data (e.g. video, motion capture, audio). Our work is motivated by applications in the fields of human health, biometrics and human-machine interface. For more information, visit the full lab site.
Displaying 20 Publications
2024
Master's Thesis, Tech. Report, CMU-RI-TR-24-27, August, 2024
2020
PhD Thesis, Tech. Report, CMU-RI-TR-20-01, Robotics Institute, Carnegie Mellon University, January, 2020
2018
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 6762 - 6770, June, 2018
2017
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 3, pp. 529 - 545, March, 2017
2015
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3622 - 3630, December, 2015
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3146 - 3154, December, 2015
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 2207 - 2216, June, 2015
Workshop Paper, FG '15 Workshops, May, 2015
2013
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2400 - 2407, December, 2013
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3515 - 3522, June, 2013
