About
David W. Jacobs is a Professor in the Department of Computer Science at the University of Maryland, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He holds a Ph.D. from MIT (1992) and has expertise in computer vision, machine learning, and deep learning. His research focuses on object recognition, lighting analysis, and applications like electronic field guides (e.g., Leafsnap and Birdsnap). He has been recognized with awards including the Honda Initiation Grant (2007) and the Edward O. Wilson Biodiversity Technology Pioneer Award (2011). Jacobs has taught courses such as CMSC 422 (Machine Learning) and CMSC 828L (Deep Learning), and advised multiple Ph.D. students. His work spans theoretical advancements and practical applications, including collaborations with institutions like the Smithsonian and Columbia University.
- Education: B.A. Yale, M.S./Ph.D. MIT
- Positions: Interim Director of UMIACS (2018), Program Co-Chair CVPR
- Key Projects: Leafsnap (1M+ downloads), Birdsnap
- Awards: CVPR Best Paper Honorable Mention (2000), Eurographics Best Paper (2016)
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