Scholar
Steve Bako
Google Scholar ID: gsv5xicAAAAJ
Aurora Innovation
Citations & Impact
Citations
746
H-index
10
i10-index
10
Publications
15
Co-authors
9
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Deep Appearance Prefiltering, ACM Transactions on Graphics, Vol. 42, No. 2, August 2023 (Proceedings of ACM SIGGRAPH 2023)
- Offline Deep Importance Sampling for Monte Carlo Path Tracing, Computer Graphics Forum, Vol. 38, No. 7, Oct 2019 (Proceedings of Pacific Graphics 2019)
- Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings, ACM Transactions on Graphics, Vol. 36, No. 4, July 2017 (Proceedings of ACM SIGGRAPH 2017)
- Removing Shadows from Images of Documents, Proceedings of ACCV 2016
- A Machine Learning Approach for Filtering Monte Carlo Noise, ACM Transactions on Graphics, Vol. 34, No. 4, August 2015 (Proceedings of ACM SIGGRAPH 2015)
Research Experience
- Working at UCSB MIRAGE Lab, Department of Electrical and Computer Engineering.
Education
- Ph.D. candidate at the University of California, Santa Barbara, supervised by Dr. Pradeep Sen.
Background
- Main research interests include computer graphics, computational photography, and machine learning. Specifically, working on denoising Monte Carlo rendered images using neural networks.
Miscellany
- Contact: stevebako [at] umail.ucsb.edu
