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Bryan A. Plummer


Bryan A. Plummer

Assistant Professor
Image and Video Computing Group
Department of Computer Science
Boston University
Office: CDS844
Email: bplum --at-- bu --dot-- edu
Note for Students

Curriculum Vitae

My research interests fall within the umbrella of artificial intelligence with a focus on multimodal machine learning, efficient neural networks, explainable and fair AI, and robust ML.

As of July 2020 I am an Assistant Professor in the Department of Computer Science at Boston University and a core faculty member of the Artificial Intelligence Research (AIR) initiative at the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. I obtained my PhD in the computer vision group at the University of Illinois at Urbana-Champaign advised by Svetlana Lazebnik. After that I worked as a Postdoctoral Associate with Kate Saenko and Stan Sclaroff and later as a Research Assistant Professor before my current position. During my PhD I was fortunate to be named a 3M Foundation Fellow, NSF GRFP honorable mention, and was able to spend my summers working with Hadi Kiapour (eBay), Shuai Zheng (eBay), Robinson Piramuthu (eBay), Matthew Brown (Google), Himanshu Arora (A9), and Stephen Kelley (MIT Lincoln Labs).

Recent News

  • My student Siqi Wang has defended their PhD thesis! Congratulations Dr. Wang!
  • My student's paper that proposes a dataset for understanding spatial relationships in dynamic environments was accepted at COLM 2025
  • My student's paper that explores the vulnerabilities introduced due to training on web data was accepted at ICCV 2025
  • I am leading a team organizing the 1st Findings Workshop at ICCV'25. See our workshop website for our Call for Papers (deadline June 30th).
  • My student Nannan Li has defended their PhD thesis! Congratulations Dr. Li!
  • I will be serving as an Area Chair for NeurIPS'25
  • My student's paper that proposes an Error-Aware Refinement-based Schrodinger Bridge approach for virtual try-on was accepted at CVPR 2025
  • My student's paper on creating an extremely efficient low-rank update to large models and a paper that proposes an approach to measure the effect of domain generalization on data with distributional shifts from pretraining data was accepted at ICLR 2025
  • I will be serving as an Area Chair for ICCV'25 and ICML'25
  • My student's paper that makes multi-channel imaging models more robust to missing channels was accepted at NeurIPS 2024
  • I will be serving as an Area Chair for CVPR'25
  • We had a paper on analyzing health warnings for synthetic nicotine advertisements in social media accepted at JAMA Network Open
  • My student has a paper introducing a new, strong baseline for domain generalization accepted at WACV 2025