Bryan A. Plummer
Email, CV, Google Scholar
I am a Postdoctoral Associate at Boston University working with Kate Saenko and Stan Sclaroff. My research interests lie within the broad umbrella of artificial intelligence with particular interests in visual recognition, scene understanding, and relating visual data with text.

I did my PhD in the computer vision group at the University of Illinois at Urbana Champaign advised by Professor Svetlana Lazebnik. During my PhD I was fortunate 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
   

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]

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

Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg. Combining Multiple Cues for Visual Madlibs Question Answering. IJCV, 2018. [paper]

   

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]

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

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]

   

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]

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

   

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]