James Hays

James Hays is an Associate Professor in the School of Interactive Computing at the Georgia Institute of Technology. His research focuses on computer vision, robotics, and machine learning, with contributions to 3D object detection, geotagged imagery analysis, and datasets like Argoverse. He previously held the Manning Assistant Professorship at Brown University, completed a postdoc at MIT with Antonio Torralba, and earned his Ph.D. from Carnegie Mellon University under Alexei Efros. Awards include the Alfred P. Sloan Fellowship and NSF CAREER Award. He has advised numerous Ph.D. students and collaborates with Overland AI on autonomous systems. His courses include CS 6476-A (Computer Vision) and advanced computer vision topics.

• Education: B.S. (Georgia Tech), Ph.D. (Carnegie Mellon University)
• Affiliations: GVU Center, College of Computing

Research interests span autonomous systems, sensor data fusion, and generative models. His work often involves creating novel datasets and exploring real-world applications in robotics and self-driving vehicles. Key projects include the Argoverse dataset for autonomous perception and Shelf-Supervised learning frameworks.

Recent awards include the PAMI Mark Everingham Prize and ECCV Koenderink Prize. Grants funded by NSF, Sandia National Labs, and industry partnerships (e.g., Ford, Meta, Argo AI). Collaborations with Overland AI focus on off-road autonomous navigation. His lab emphasizes interdisciplinary approaches, blending theory with practical systems.