Sanja Fidler  

 



  ![](/sites/default/files/person/SanjaFidler.jpg)

  

 Sanja Fidler is vice president of AI research at NVIDIA, leading the company’s Spatial Intelligence Lab research lab in Toronto. She is also an associate professor at the University of Toronto, and an affiliate faculty member at the Vector Institute, which she co-founded. Previously, she was a research assistant professor at Toyota Technological Institute at Chicago, a philanthropically endowed academic institute located in the University of Chicago campus.

Fidler co-authored over 130 scientific papers in the fields of computer vision, machine learning and NLP. She has served as Area Chair for a variety of conferences, including the Conference on Computer Vision and Pattern Recognition (CVPR), International Conference in Computer Vision (ICCV), the Conference on Empirical Methods in Natural Language Processing (EMNLP), the International Conference on Learning Representations (ICLR), the Conference on Neural Information Processing Systems (NeurIPS), and SIGGRAPH.

Fidler has received the NVIDIA Pioneer of AI Award, Amazon Academic Research Award, Facebook Faculty Award, Early Researcher Award, University of Toronto’s Innovation Award, and the Connaught New Researcher Award. In 2018, she was appointed as the Canadian CIFAR AI Chair. She has also been ranked among the top three most influential AI female researchers in Canada by Re-WORK. Her work on semi-automatic object instance annotation won the Best Paper Honorable Mention at CVPR 2017. Her main research interests are 3D computer vision, robotics simulation, interactive labeling, and multimodal representations.

Fidler completed her Ph.D. in computer science at the University of Ljubljana (Slovenia) in 2010, and was a postdoctoral fellow at the University of Toronto from 2011 to 2012.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Computer Vision](/research-area/computer-vision)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=CUlqK5EAAAAJ&hl=en](https://scholar.google.com/citations?user=CUlqK5EAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[Align Your Flow: Scaling Continuous-Time Flow Map Distillation](/publication/2025-12_align-your-flow-scaling-continuous-time-flow-map-distillation)

Amirmojtaba Sabour, [Sanja Fidler](/person/sanja-fidler), [Karsten Kreis](/person/karsten-kreis)



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/abs/2506.14603)









[GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control](/publication/2025-08_gen3c-3d-informed-world-consistent-video-generation-precise-camera-control)

Xuanchi Ren, Tianchang Shen, Jiahui Huang, Huan Ling, Yifan Lu, [Merlin Nimier-David](/person/merlin-nimier-david), [Thomas Müller](/person/thomas-muller), [Alex Keller](/person/alex-keller), [Sanja Fidler](/person/sanja-fidler), Jun Gao



[CVPR 2025](https://ieeexplore.ieee.org/document/11092782)









### 2023 

[Compact Neural Graphics Primitives with Learned Hash Probing](/publication/2023-12_compact-neural-graphics-primitives-learned-hash-probing)

Towaki Takikawa, [Thomas Müller](/person/thomas-muller), [Merlin Nimier-David](/person/merlin-nimier-david), Alex Evans, [Sanja Fidler](/person/sanja-fidler), Alec Jacobson, [Alex Keller](/person/alex-keller)



[SIGGRAPH Asia 2023](https://dl.acm.org/doi/10.1145/3610548.3618167)









[Adaptive Shells for Efficient Neural Radiance Field Rendering](/publication/2023-12_adaptive-shells-efficient-neural-radiance-field-rendering)

Zian Wang, Tianchang Shen, [Merlin Nimier-David](/person/merlin-nimier-david), Nicholas Sharp, Jun Gao, [Alex Keller](/person/alex-keller), [Sanja Fidler](/person/sanja-fidler), [Thomas Müller](/person/thomas-muller), Zan Gojcic



[SIGGRAPH Asia 2023](https://dl.acm.org/doi/10.1145/3618390)



SIGGRAPH Asia 2023 Best Paper Award