Bryan A. Plummer
Email, CV, Google Scholar, Github

I am currently a Research Assistant Professor in the Department of Computer Science at Boston University where I also previously worked as a Postdoctoral Associate with Kate Saenko and Stan Sclaroff. I am a member of the Image and Video Computing Group at BU. I did my PhD in the computer vision group at the University of Illinois at Urbana-Champaign advised by Svetlana Lazebnik. My research interests fall within the umbrella of artificial intelligence with a focus visual recognition, scene understanding, interpretable machine learning, and understanding the relationship between vision and language.

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).

Publications
   

2020

Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer. MULE: Multimodal Universal Language Embedding. AAAI, 2020. [paper][bibtex]

   

2019

Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer. Language Features Matter: Effective Language Representations for Vision-Language Tasks. ICCV, 2019. [paper][project][bibtex]

Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer. Learning Similarity Conditions Without Explicit Supervision. ICCV, 2019. [paper][code][bibtex]

Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko. Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI, 2019. [paper][code][bibtex]

Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu. Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback. WACV, 2019. [paper][bibtex]

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg. Combining Multiple Cues for Visual Madlibs Question Answering. IJCV, 127(1):38-60, 2019. [paper][bibtex]

   

2018

Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, David Forsyth. Learning Type-Aware Embeddings for Fashion Compatibility. ECCV, 2018. [paper][code][bibtex]

Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik. Conditional Image-Text Embedding Networks. ECCV, 2018. [paper][code][bibtex]

Bryan A. Plummer. Grounding natural language phrases in images and video. Ph.D. Dissertation, University of Illinois at Urbana-Champaign. 2018. [paper][bibtex]

   

2017

Bryan A. Plummer, Arun Mallya, Christopher M. Cervantes, Julia Hockenmaier, Svetlana Lazebnik. Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. ICCV, 2017. [paper][code][bibtex]

Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik. Enhancing Video Summarization via Vision-Language Embedding. CVPR, 2017. [paper][bibtex]

Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik. Flickr30K Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. IJCV, 123(1):74-93, 2017. [paper][project][bibtex]

   

2016

P. Daphne Tsatsoulis, Bryan A. Plummer, David Forsyth. Visual Analogies: A Framework for Defining Aspect Categorization. ECCV TASK-CV Workshop, 2016. Workshop Best Paper Award. [paper][bibtex]

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg. Solving Visual Madlibs with Multiple Cues. BMVC, 2016. [paper][bibtex]

   

2015

Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. ICCV, 2015. [paper][project][bibtex]