Professor
Home Department: RI
Office: 221 Elliot Dunlap Smith Hall
Phone: (412) 268-6966
Administrative Assistant:
Tyler Mannion
Mailing Address
My research focuses on computer vision, often motivated by the task of understanding people from visual data. My work tends to make heavy use of machine learning techniques, often using the human visual system as inspiration. For example, temporal processing is a key component of human perception, but is still relatively unexploited in current visual recognition systems. Machine learning from big (visual) data allows systems to learn subtle statistical regularities of the visual world. But humans have the ability to learn from very few examples. Here’s a recent talk (from 2015) that discusses some thoughts on these issues.
Research Topics
- Computer Vision
- 3-D Vision and Recognition
- Visual Servoing and Visual Tracking
- Neurorobotics: From Vision to Action
- First-Person Vision
- Machine Learning Embedded in Systems
- Sensing & Perception
- Human-Centered Robotics
- Robotics Foundations
- Graphics & Creative Tools
- Human Robot Collaboration
- Neurorobotics: From Vision to Action
Displaying 115 Publications
2024
Master's Thesis, Tech. Report, CMU-RI-TR-24-11, May, 2024
2021
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, October, 2021
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 12732 - 12741, June, 2021
Conference Paper, Proceedings of (ICLR) International Conference on Learning Representations, May, 2021
2020
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 34 - 51, August, 2020
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 436 - 454, August, 2020
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 473 - 488, August, 2020
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5365 - 5374, June, 2020
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 1331 - 1340, June, 2020
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 10998 - 11006, June, 2020
