Bryan Plummer is an Assistant Professor in the Department of Computer Science at Boston University, and is a core faculty member of the Artificial Intelligence Research (AIR) Initiative in the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. He obtained his PhD in the computer vision group at the University of Illinois at Urbana-Champaign where he received a 3M Foundation Fellowship and was an NSF GRFP honorable mention. Bryan’s research includes significant work on vision-language understanding including applications in phrase grounding, multilingual reasoning, detecting manipulated media, and disentangled and structured representation learning.

Lisa is a research scientist on the Language Team at DeepMind. She received my PhD from Berkeley in May 2019, and a BSEE (Bachelor of Science in Electrical Engineering) from Rice University in 2013. Her research focuses on the intersection of language and vision. She is particularly interested in analyzing why models work, explainability, and mitigating/measuring bias in AI models

Alec Radford is a research scientist at OpenAI. His research focuses on uses of generative models and developing scalable learning methods that leverage natural language supervision. Previously he worked on DCGAN, the GPT series of language models, and most recently CLIP.

Cordelia Schmid holds a permanent researcher position at Inria since 1997, where she is a research director. Starting 2018 she has a joint appointment with Google research. She has published more than 300 articles, mainly in computer vision. She has been editor-in-chief for IJCV (2013--2018), a program chair of IEEE CVPR 2005 and ECCV 2012 as well as a general chair of IEEE CVPR 2015, ECCV 2020 and ICCV 2023. In 2006, 2014 and 2016, she was awarded the Longuet-Higgins prize for fundamental contributions in computer vision that have withstood the test of time. She is a fellow of IEEE. She was awarded an ERC advanced grant in 2013, the Humbolt research award in 2015 and the Inria & French Academy of Science Grand Prix in 2016. She was elected to the German National Academy of Sciences, Leopoldina, in 2017. In 2018 she received the Koenderink prize for fundamental contributions in computer vision. She received the Royal Society Milner award in 2020.

Dr. Mohit Bansal is the John R. & Louise S. Parker Associate Professor and the Director of the MURGe-Lab (UNC-NLP Group) in the Computer Science department at University of North Carolina (UNC) Chapel Hill. Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago. He received his PhD from UC Berkeley in 2013 (where he was advised by Dan Klein) and his BTech from IIT Kanpur in 2008. His research expertise is in statistical natural language processing and machine learning, with a particular focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. He is a recipient of the 2020 IJCAI Early CAREER Spotlight, 2019 DARPA Director's fellowship, 2019 Google Focused Research Award, 2019 Microsoft Investigator Fellowship, 2019 NSF CAREER Award, 2018 ARO Young Investigator Award (YIP), 2017 DARPA Young Faculty Award (YFA), 2017 ACL Outstanding Paper Award, 2014 ACL Best Paper Award Honorable Mention, 2018 COLING Area Chair Favorites Paper Award, and 2019 ACL Best Short Paper Nomination. His service includes Program Co-Chair for CoNLL 2019, Senior Area Chair for several ACL and EMNLP conferences, Americas Sponsorship Co-Chair for the ACL, and Associate/Action Editor for TACL, Computational Linguistics (CL), IEEE/ACM TASLP, and CSL journals.