Speakers

Judy Hoffman is an Assistant Professor in the School of Interactive Computing at Georgia Tech, a member of the Machine Learning Center, and a Diversity and Inclusion Fellow. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has received numerous honors and awards including ICML Test of Time award (2024), NSF CAREER, PAMI Distinguished Young Researcher Award (2023), Google Research Scholar Award (2022), Samsung AI Researcher of the Year Award (2021), NVIDIA female leader in computer vision award (2020), MIT EECS Rising Star (2015), and served as Program co-Chair for CVPR 2023. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization which provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a Research Scientist at Facebook AI Research. She received her PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016 after which she completed Postdocs at Stanford University (2017) and UC Berkeley (2018).

Aniruddha (Ani) Kembhavi is the Director of Science Strategy at Wayve in London. He recently completed a significant tenure at the Allen Institute for AI (AI2) in Seattle, where he served as the Senior Director of Computer Vision and an Affiliate Associate Professor in the Department of Computer Science & Engineering at the University of Washington. Ani earned his PhD from the University of Maryland, where he worked with Prof. Larry Davis, and spent several years at Microsoft, building large-scale machine learning systems for image and video search. His work has won several awards including the Best Paper award at CVPR 2023 and ICRA 2024, the Outstanding Paper award at Neurips 2022 and CoRL 2024, the Best Paper Award on Mobile Manipulation for IROS 2024 and an NVIDIA Pioneer award in 2018.

Deva Ramanan is a Professor in the Robotics Institute at Carnegie-Mellon University and the former director of the CMU Center for Autonomous Vehicle Research. His research interests span computer vision and machine learning, with a focus on visual recognition. He was awarded the David Marr Prize in 2009, the PASCAL VOC Lifetime Achievement Prize in 2010, the IEEE PAMI Young Researcher Award in 2012, the Longuet-Higgins Prize in both 2018 and 2024, and was recognized for best paper finalist / honorable mention awards in CVPR 2019, ECCV 2020, and ICCV 2021. His work is supported by NSF, ONR, DARPA, as well as industrial collaborations with Intel, Google, and Microsoft.

Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. Her research is in computer vision, closely integrated with the fields of machine learning, human-computer interaction and fairness, accountability and transparency. She has been awarded the PAMI Young Researcher Award, the NSF CAREER award, the AnitaB.org's Emerging Leader Abie Award in honor of Denice Denton, the CRA-WP Anita Borg Early Career Award, the MIT Technology Review's 35-under-35 Innovator award, the PAMI Everingham Prize and the Foreign Policy Magazine's 100 Leading Global Thinkers award. In addition to her research, she co-founded and serves as Board Chair of the AI4ALL nonprofit dedicated to increasing diversity and inclusion in Artificial Intelligence (AI). She completed her PhD at Stanford University and her postdoctoral fellowship at Carnegie Mellon University.

Yuxiong Wang is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign. He is also affiliated with the National Center for Supercomputing Applications (NCSA). He received a Ph.D. in robotics from Carnegie Mellon University. His research interests lie in computer vision, machine learning, and robotics, with a particular focus on meta-learning, open-world perception, multimodal learning, and generative modeling. He is a recipient of awards including the Amazon Faculty Research Award, the ECCV Best Paper Honorable Mention Award, and the CVPR Best Paper Award Finalists. He is selected to participate in the National Academy of Engineering’s (NAE) Frontiers of Engineering symposium.