I am an Assistant Professor at Boston University in the Department of Computer Science and also a Member of Technical Staff at Runway. I am also an Affiliated Faculty with the Department of Electrical and Computer Engineering and Faculty of Computing & Data Sciences. My research interests are in building safe, interpretable, and robust computer vision systems and also on improving their reasoning capabilities. I obtained my PhD at the University of Texas at Austin and worked at Facebook AI Research and Runway prior to joining BU.
Note to prospective students:
- If you are currently a MS student at BU, fill out this form and I will reach out if I am looking for a student.
- If you are interested in applying to BU as a PhD student and are interested in working with me, mention my name in your application. It is not necessary to contact me and attach your application.
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News
- Two papers [REVELIO 🪄] and [GUIDE] accepted at ICCV’25!🎉
- I served as one of the chairs for the Broadening Participation at CVPR’25. Our goal was to goal identify students who don’t have the financial means to attend and support them.
- I’ll be speaking at Scalable Generative Models in Computer Vision and WorldModelBench: The 1st Workshop on Benchmarking World Models at CVPR’25
- Named Computing & Data Sciences (CDS) Faculty Fellow in 2024.
- [July’24] Started as an Assistant Professor in CS at Boston University!
- I am an Area chair at WACV’24!
- 1 paper accepted at NeurIPS’23!
- I am one of the Technical Program Chair for the conference AIMLSystems 2023
- I am a co-organizer of XAI4CV workshop at CVPR’23!
- I am a session chair of the featured papers panel at NeurIPS’22.
- I moderated a panel discussion on Responsible AI research and in practice at the workshop on Responsible CV at ECCV’22.
- I am one of the main organizers of Responsible CV at ECCV’22.
- 2 papers accepted at ECCV’22!
- I am serving as a Program Chair for NeurIPS’22 Datasets and Benchmarks track
Professional Service
- Program Chair:
- Workshop Organizer:
- Area Chair:
- WACV’24
- AAAI’22
- WiML@NeurIPS’21, CVPR’21
- WiML’20
- Program Committee Member: AAAI-20
- Journal Reviewer:
- IEEE Trans. of Image Proc. 2013 - 2019, IEEE Trans. on Multimedia 2016 - 2019
- Elec. Letters 2016 - 2019, IEEE Trans. on Circuits and Syst. for Video Tech. 2015 - 2019
- Digital Signal Proc. 2015 - 2019, EURASIP J. on Image and Video Proc. 2015 - 2019
- J. of Selected Topics in Signal Proc. 2015 - 2019
- Conference Reviewer:
- CVPR 2023, ICVGIP 2023
- CVPR 2022, NeurIPS 2022, ECCV 2022, ICVGIP 2022, WiML 2022, AAAI 2022
- ICVGIP 2021, WiML 2021
- CVPR 2020, AAAI 2020, WiML 2020, ICVGIP 2020
- WiML 2019, ICVGIP 2019
- ICVGIP 2018
- ACM SIGGRAPH 2017, ICVGIP 2017
- ICVGIP 2014
Short Bio
Deepti is an Assistant Professor in the Department of Computer Science in Boston University and a Member of Technical Staff at Runway. Her research interests are in Computer Vision and Machine Learning, with a special focus improving the safety, interpretability, and robustness of computer vision systems. Previously she spent over 5 years at Meta AI Research working on image and video understanding models, fair and inclusive computer vision models, and ML explainability. She obtained her PhD at the University of Texas at Austin in 2017 where she worked with Prof. Alan Bovik on perceptual image and video quality assessment for real-world content. She has served as a program chair for NeurIPS 2022 Dataset and Benchmarks track, AIMLsystems’23, and an area chair for several conferences such as IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Winter Conference on Applications of Computer Vision (WACV), Women in Machine Learning (WiML), and Association for the Advancement of Artificial Intelligence (AAAI). She organized several workshops on the topics of responsible and explainable computer vision at top-tier machine learning conferences.