Scholar
Karan Sapra
Google Scholar ID: Tha5dKQAAAAJ
Clemson University, NVIDIA
Citations & Impact
Citations
2,535
H-index
16
i10-index
19
Publications
20
Co-authors
35
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Partial Convolution based Padding', 'Improving Semantic Segmentation via Video Propagation and Label Relaxation', and presented at conferences such as CVPR 2019, GTC 2016, etc.
Research Experience
- Currently a research scientist at NVIDIA's Applied Deep Learning Research team, applying DL for graphics. During his Ph.D., he worked on multiple projects, including mapping and performance prediction on high-performance architecture, global gene alignment, etc. He also interned at Oak Ridge National Lab, working on heterogeneous framework development.
Education
- Ph.D. in Computer Engineering from Clemson University, 2011-2018, advisor: Melissa C. Smith; B.Sc. in Computer Engineering with a minor in Mathematical Science from Clemson University, 2011.
Background
- Research interests include deep learning, computer vision, and real-time graphics. Specializes in high-performance computing (HPC), networking, and network security.
Miscellany
- Personal interests not specified.
