Digbalay Bose

I am a Research Scientist at Adobe Research, Bengaluru, where I currently work on improving multi-modal document understanding. I obtained my Ph.D. in Electrical Engineering from the Department of Electrical and Computer Engineering at the University of Southern California, Viterbi School of Engineering. I was advised by Prof. Shrikanth Narayanan at the Signal Analysis and Interpretation Laboratory. Prior to USC, I worked as a Research Software Engineer at IBM Research, India from 2016 to 2018. I received my Masters in Electrical Engineering from Indian Institute of Technology, Bombay in 2016, where I was advised by Prof. Subhasis Chaudhuri. Previously, I obtained my Bachelors degree in Electronics and Telecommunication Engineering from Jadavpur University in 2014.
My research interests broadly span across the domains of multimodal machine learning, computer vision and applications of computer vision in healthcare. I am particularly interested in multimodal learning with major focus along the following dimensions:
- Robustness: Improving model performance under adversarial settings including modality corruption.
- Generalization: Enhancing the generalization capabilities of multi-modal models to novel reasoning tasks across diverse groups/cultures and domains.
- Explainability: Developing interpretable models for multimodal reasoning tasks.
news
Jan 27, 2025 | Joined Adobe Research, Bengaluru as a Research Scientist. |
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Dec 18, 2024 | Defended my thesis titled “Multimodal perception guided computational media understanding” |
Nov 16, 2023 | Our findings on demographic representation in Indian TV shows with Google Research and Geena Davis Institute on Gender in Media published in Google AI India blog and received media coverage |
Sep 29, 2023 | Passed Ph.D. Qualifying Examination and advanced to candidacy. |
Aug 18, 2023 | Completed my summer internship at NVIDIA Maxine AI. |
selected publications
- FPSAM 2022Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based MeasuresFacial Plastic Surgery & Aesthetic Medicine, 2022