Sreya Banerjee, PhD

Sreya Banerjee, PhD

Research Fellow

Data and Analytics Platform

Harvard Medical School

Pronouns: she/her/hers

Dr. Sreya Banerjee earned her Ph.D. in Computer Science and Engineering from the University of Notre Dame in Notre Dame, Indiana under the guidance of Dr. Walter J. Scheirer at the Computer Vision Research Laboratory. As a graduate student, she collaborated with the Department of Biological Sciences at Notre Dame to understand the effect of cross-modal integration of sensory stimuli in zebrafish vision. She helped create a tool to understand changes in zebrafish behavior due to ambient odor using computer vision. Before joining CCB, she completed her postdoctoral training at Massachusetts General Hospital where she primarily worked with psychiatrists to understand and monitor symptoms of depression and anxiety through smartphone sensors. She is broadly interested in biologically inspired machine learning algorithms and the application of computer vision and deep learning techniques in experimental and clinical data.

  • An assistive computer vision tool to automatically detect changes in fish behavior in response to ambient odor

    Authors: Banerjee S, Alvey L, Brown P, Yue S, Li L and Scheirer WJ

    Scientific reports (2021)

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  • eport on UG2+ challenge Track 1: assessing algorithms to improve video object detection and classification from unconstrained mobility platforms

    Authors: Banerjee S, Vidal RG, Wang Z, and Scheirer WJ

    Computer Vision and Image Understanding (2021)

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  • Bridging the gap between computational photography and visual recognition

    Authors: VidalMata RG, Banerjee S, RichardWebster B, Albright M, Davalos P, McCloskey S, Miller B, Tambo A, Ghosh S, Nagesh S, Yuan Y, Hu Y, Wu J, Yang W, Zhang X, Liu J, Wang Z, Chen HT, Huang TW, Chin WC, Li YC, Lababidi M, Otto C, Scheirer WJ

    IEEE transactions on pattern analysis and machine intelligence (2020)

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  • A video benchmark for assessing the impact of image restoration and enhancement on automatic visual recognition

    Authors: Vidal RG, Banerjee S, Grm K, Struc V, and Scheirer WJ

    2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

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