Shubhankar Borse

About

I am a Deep Learning Researcher at Qualcomm AI Research(Since 2019), specializing in Dense Perception. For Qualcomm, I have developed several algorithms  for Autonomous Driving, Camera and XR applications. A lot of the research is available on my google scholar profile. I have contributed to several papers, products and conference demos highlighting the capability of our Snapdragon chips to run state-of-the-art AI applications.

Prior to working at Qualcomm, I received my Masters degree from Georgia Institute of Technology, specializing in Machine Learning and Computer Vision. At Georgia Tech, I developed an algorithm for passenger counting using Object Detection and deployed it in buses. Previously, I obtained a Bachelors Degree in ECE from VJTI, Mumbai.

Currently, I serve as a reviewer for several conferences such as CVPR, ICCV, ECCV, WACV, IROS and NeurIPS. Apart from this, I have reviewed for Springer Journals such as Machine Vision and Applications, as well as IEEE-RAL.

Apart from my Google Scholar profile, you can find my patents in Google Patents and some of my open-source code in Paperswithcode. Feel free to contact me over LinkedIn or email.

I have uploaded my resume here.