Posts tagged Computer Vision
Pruning One More Token Is Enough: Efficient Vision Transformers on the Edge (WACV 2025)
- 28 February 2025
This paper was led by Nicholas J. Eliopoulos (Purdue University), working with James C. Davis, Guoqing Liu, and Yung-Hsiang Lu. I am one of the key leaders of this research project. The work appeared at WACV 2025 (IEEE/CVF Winter Conference on Applications of Computer Vision).
Deep Learning Model Reengineering: Challenges and Practices (EMSE 2024)
- 30 January 2024
This paper was led by Wenxin Jiang (Purdue University, working with James C. Davis), with contributions from Vishnu Banna, Nikhil Vivek, Aditya Goel, and Nicholas Synovic. I am one of the key leaders of this research project. The work appeared in the Empirical Software Engineering journal.
Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
- 23 February 2022
I’m glad to share Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence, an edited volume I co-edited with Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, and Bo Chen, published by Chapman & Hall/CRC (Routledge/CRC Press). This post also covers the companion survey that laid the groundwork for the book, “A Survey of Methods for Low-Power Deep Learning and Computer Vision”, led by Abhinav Goel and Caleb Tung (Purdue University), with Yung-Hsiang Lu and myself, presented at WF-IoT 2020.