Sanja Fidler
Sanja Fidler | |
---|---|
Alma mater | University of Ljubljana (PhD, BSc) |
Awards | Canada CIFAR AI Chair, Connaught New Researcher Award, NVIDIA Pioneers of AI Award |
Scientific career | |
Institutions | University of Toronto, Nvidia |
Thesis | Recognizing visual object categories with subspace methods and a learned hierarchical shape vocabulary (2010) |
Website | www |
Sanja Fidler is an associate professor at the University of Toronto and Director of AI at Nvidia. She is also a co-founder of the Vector Institute, University of Toronto and Canada CIFAR AI Chair.[1] Her research is in the areas of computer vision and artificial intelligence.
Education[edit]
Fidler attended the University of Ljubljana, where she received a BSc in Applied Mathematics in 2002 and a Ph.D. in Computer Science in 2010. Following that she was a visiting scientist at UC Berkeley and a postdoctoral scholar at the University of Toronto.
Career[edit]
Fidler's major research interests include 2D and 3D object detection, object segmentation and image labeling, and 3D scene understanding.[1] Several of her works have received popular press coverage, including a pop-song generator[2] and an algorithm to suggest fashion improvements.[3][4]
Prior to joining the University of Toronto, she was an assistant professor at the Toyota Technological Institute at Chicago (TTIC). In 2018, she was appointed a Director of AI at Nvidia.[5][6]
Awards[edit]
Among Fidler's awards are the Connaught New Researcher Award, an NVIDIA Pioneers of AI Award, Amazon Academic Research Award, and Facebook Faculty Award. She served as Program Chair of ICCV 2021. She has also served as Area Chair of several machine learning and vision conferences including NeurIPS, ICLR, CVPR, ICCV, and ECCV.
References[edit]
- ^ a b "Sanja Fidler Home Page". University of Toronto. Retrieved 2020-03-07.
- ^ "It's no Christmas No 1, but AI-generated song brings festive cheer to researchers". The Guardian. Retrieved 7 March 2020.
- ^ "New Algorithm for Instagram Will Tell You How to Dress Better". Harper's Bazaar. Retrieved 7 March 2020.
- ^ "This algorithm just solved fashion". Wired.
- ^ "U of T computer vision expert to lead new Nvidia research lab in Toronto". University of Toronto. Retrieved 7 March 2020.
- ^ "Nvidia CEO Jensen Huang calls Canada's AI talent 'incredible,' a key resource". University of Toronto. Retrieved 7 March 2020.