- Paper “REMIND Your Neural Network to Prevent Catastrophic Forgetting” under review
- Multiple papers accepted at conferences such as CVPR, WACV, AAAI
- Received internship opportunity at Adobe Research (May 2017)
- AWS grant proposal accepted, awarded $15K worth of AWS credits (March 2016)
- Recognized as an outstanding reviewer for CVPR 2018 (May 2018)
- Co-organized several workshops on shortcomings in vision and language (e.g., SiVL workshop)
Research Experience
- Research Scientist at Adobe Research (March 2020 - Present)
- Research Intern at Microsoft Research, Redmond (Summer 2019)
- Worked at Machine and Neuromorphic Perception Laboratory under Dr. Christopher Kanan (July 2015 onwards)
Education
Ph.D. - Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Advisor: Dr. Christopher Kanan (2015-2020)
Background
Currently working at Adobe Research as a research scientist. Recently completed my Ph.D. in the Chester F. Carlson Center for Imaging Science at Rochester Institute of Technology, where I worked with Dr. Christopher Kanan. My overarching goal is to develop robust vision and language models, specifically interested in exploring models that not only demonstrate robust visual reasoning capacity but are also right for the right reasons.
Miscellany
Launched an online web demo for Visual Question Answering, including a demo for DVQA.