Scholar
Rajeev Yasarla
Google Scholar ID: R8dwrxEAAAAJ
Qualcomm AI Research
Citations & Impact
Citations
2,430
H-index
16
i10-index
19
Publications
20
Co-authors
18
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multiple papers accepted at WACV 2025, ECCV 2024, ICCV 2023, ECCV 2022, etc.; Best Paper Award at IEEE ICIP 2021; Published in IEEE TBIOM 2022, IEEE TIP 2021, etc.
Research Experience
- Interned at AIBEE US Corp. (Advisor: Amir Sadeghian) - Research on self-supervised salient object detection; Microsoft (Advisor: Hamid Reza Vaezi Joze) - Face Enhancement of images with noise, blur, and low-light conditions project, which was patented, US Patent 11,526,972.
Education
- Ph.D. degree in Electrical engineering from the Electrical and Computer Engineering Dept. at Johns Hopkins University, Whiting School of Engineering, advised by Vishal M. Patel.
Background
- Currently working as a Sr. Research Engineer at Qualcomm AI Research. Broad research interests are in Computer Vision, Machine Learning, and 3D vision, including topics like VLLM based end-to-end autonomous driving, video depth estimation, low-level image restoration and enhancement, image segmentation, and domain adaptation.
Miscellany
- Teaching Assistant for Introduction to Digital Signal Processing at Johns Hopkins University and for Introduction to Data Structures and Algorithms, Basic Electrical Engineering at IIT Madras.
