Rogerio Schmidt Feris is a principal scientist and manager at the MIT-IBM Watson AI lab. He joined IBM in 2006 after receiving a Ph.D. from the University of California, Santa Barbara. He has also worked as an Affiliate Associate Professor at the University of Washington and as an Adjunct Associate Professor at Columbia University. He has authored over 150 technical papers and has over 50 issued patents in the areas of computer vision, multimedia, and machine learning.
His work has not only been published in top AI conferences (e.g., NeurIPS, CVPR, ICLR, ICCV, ECCV), but has also been integrated into multiple IBM products. He led the development of an attribute-based visual search system used by many police departments around the world, as well as a system to produce auto-curated highlights for the US Open, Wimbledon, and Masters tournaments, which were seen by millions of fans worldwide. Rogerio’s work has been covered by the New York Times, ABC News, CBS 60 minutes, and many other media outlets. He is an IBM Master Inventor, has received a prestigious Corporate award in 2019, multiple IBM Research Accomplishment Awards, and was part of the team that recently achieved top results in highly competitive benchmarks such as the KITTI and TrecVid evaluations. His work on auto-curation of sports highlights has been selected for a Tech and Engineering Emmy award in 2022.
Rogerio has served as a global co-lead for the Joint Program between Research and Watson Visual Services, as well as for the multimodal perception area at IBM, coordinating efforts across labs worldwide. He currently leads the IBM-MIT team as a Principal Investigator for DARPA Learning with Less Labels, and led the IBM-MIT-Purdue team as a Principal Investigator for IARPA DIVA. He is an Associate Editor of TPAMI, has served as a Program Chair of WACV 2017, and as an Area Chair of NeurIPS, CVPR, ICLR, ICML, ECCV, and ICCV. Rogerio is originally from Brazil, and has contributed to the LatinX in AI events.