Research Topics
- Computer Vision
- Light-weight Deep Learning
- Visual Perception on Moving Platforms
- Wireless and Wearable Sensing
Applications
- Computer Vision
- Surveillance & Security
- Field Robotics
- Health Care
Advances in sensors, machine learning and computer vision hold tremendous potential to reshape our world. DeLight focuses on unlocking this potential contained in applied machine learning approaches, and applying them in intelligent and measurable ways to improve safety and quality-of-life.
In DeLight group, we develop perception solutions de(of) Light (including visible (images, laser) and non-visible (wifi, radar) electromagnetic signals), we advance Deep learning with Light-weight approaches, we Deploy Light-weight algorithms to embedded platforms.
Research Topics
Displaying 16 Publications
2022
Master's Thesis, Tech. Report, CMU-RI-TR-22-78, Robotics Institute, Carnegie Mellon University, December, 2022
Journal Article, Neurocomputing, July, 2022
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2022
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2022
2021
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, October, 2021
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2021
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, June, 2021
2020
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, December, 2020
Journal Article, IEEE Transactions on Image Processing, Vol. 30, pp. 1 - 14, October, 2020
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, August, 2020
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