Dr. Olga Russakovsky is an Assistant Professor in the Computer Science Department at Princeton University. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She completed her PhD at Stanford University and her postdoctoral fellowship at Carnegie Mellon University. She was awarded the PAMI Everingham Prize in 2016 as one of the leaders of the ImageNet Large Scale Visual Recognition Challenge, the MIT Technology Review's 35-under-35 Innovator award in 2017 and was named one of Foreign Policy Magazine's 100 Leading Global Thinkers in 2015. In addition to her research, she co-founded and continues to serve as a board member of the AI4ALL foundation dedicated to increasing diversity and inclusion in AI. She co-founded the Stanford AI4ALL camp teaching AI to high school girls (formerly "SAILORS") and the Princeton AI4ALL camp teaching AI to URM high school students.
- "What's in a Question: Using Visual Questions as a Form of Supervision" by Siddha Ganju, Olga Russakovsky, Abhinav Gupta in CVPR 2017
- "Predictive-Corrective Networks for Action Detection" by Achal Dave, Olga Russakovsky, Deva Ramanan in CVPR 2017
- "What's the Point: Semantic Segmentation with Point Supervision" by Amy Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei in ECCV 2016
- "End-to-End Learning of Action Detection from Frame Glimpses in Videos" by Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei in CVPR 2016
- "Much Ado About Time: Exhaustive Annotation of Temporal Data" by Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta in HCOMP 2016
- "ImageNet Large Scale Visual Recognition Challenge" by Olga Russakovsky et al. in IJCV 2015