Sanja Fidler

Faculty Member

Assistant Professor, Department of Computer Science, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Sanja Fidler is an Assistant Professor at University of Toronto. Prior coming to Toronto, in 2012/2013, she was a Research Assistant Professor at Toyota Technological Institute at Chicago, an academic institute located in the campus of University of Chicago. She did her postdoc with Prof. Sven Dickinson at University of Toronto in 2011/2012. Sanja finished her PhD in 2010 at University of Ljubljana in Slovenia. In 2010, she visited Prof. Trevor Darrell‘s group at UC Berkeley and ICSI. She got her BSc degree in Applied Math at University of Ljubljana.

Research Interests

Sanja’s main research interests are in semantic visual scene understanding. She is also interested in the interplay between language and vision.

  • Computer Vision & Graphics
  • 3D Vision
  • 3D Reconstruction & Synthesis
  • Interactive Methods for Image Annotation

Highlights

  • Innovation Award (University of Toronto), 2021
  • Connaught Innovation Award, 2020
  • Early Researcher Award, 2019
  • Best paper honorable mention at CVPR’17
  • Connaught New Researcher Award, 2018
  • Amazon Academic Research Award, 2017
  • NVIDIA Pioneer of AI Award, 2016
  • Facebook Faculty Award, 2016
  • Outstanding reviewer award at ECCV’08, ECCV’12, CVPR’12, CVPR’15
  • Professor of the Year, 2014/2015, awarded by the UofT’s Computer Science Student Union
  • Best Teaching Assistant, 2007, awarded by University of Ljubljana’s Computer Science Student Union

Publications

f-Domain Adversarial Learning: Theory and Algorithms

David Acuna and Guojun Zhang and Marc T Law and Sanja Fidler

2021

EditGAN: High-Precision Semantic Image Editing

Huan Ling and Karsten Kreis and Daiqing Li and Seung Wook Kim and Antonio Torralba and Sanja Fidler

2021

Image-level or object-level? a tale of two resampling strategies for long-tailed detection

Nadine Chang and Zhiding Yu and Yu-Xiong Wang and Animashree Anandkumar and Sanja Fidler and Jose M Alvarez

2021

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

Tianchang Shen and Jun Gao and Kangxue Yin and Ming-Yu Liu and Sanja Fidler

2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Despoina Paschalidou and Amlan Kar and Maria Shugrina and Karsten Kreis and Andreas Geiger and Sanja Fidler

2021

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer

Wenzheng Chen and Joey Litalien and Jun Gao and Zian Wang and Clement Fuji Tsang and Sameh Khamis and Or Litany and Sanja Fidler

2021

Labeling images using a neural network

Daiqing Li and Sanja Fidler

2022

Generating labels for synthetic images using one or more neural networks

Yuxuan Zhang and Huan Ling and Jun Gao and Wenzheng Chen and Antonio Torralba Barriuso and Sanja Fidler

2022

Object image completion

Sanja Fidler and David Acuna Marrero and Seung Wook Kim and Karsten Julian Kreis and Huan Ling

2022

System and method for generation of an interactive color workspace

Maria Shugrina and Wenjia Zhang and Fanny Chevalier and Sanja Fidler and Karan Singh

2022

Image generation using one or more neural networks

Jonah Philion and Sanja Fidler

2021

Environment generation using one or more neural networks

Seung Wook Kim and Sanja Fidler and Jonah Philion and Antonio Torralba Barriuso

2021

Scalable Neural Data Server: A Data Recommender for Transfer Learning

Tianshi Cao and Sasha Alexandre Doubov and David Acuna and Sanja Fidler

2021

Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation

David Acuna and Jonah Philion and Sanja Fidler

2021

Method and system for color representation generation

Maria Shugrina and Amlan Kar and Sanja Fidler and Karan Singh

2021

Neural rendering for inverse graphics generation

Wenzheng Chen and Yuxuan Zhang and Sanja Fidler and Huan Ling and Jun Gao and Antonio Torralba Barriuso

2021

Unsupervised learning of scene structure for synthetic data generation

Jeevan Devaranjan and Sanja Fidler and Amlan Kar

2021

Systems, devices and methods for transfer learning with a mixture of experts model

Sanja Fidler and David Jesus Acuna Marrero and Xi Yan

2021

Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

Tianshi Cao and Alex Bie and Arash Vahdat and Sanja Fidler and Karsten Kreis

2021

Neural network motion controller

Tingwu Wang and Yun Rong Guo and Maria Shugrina and Sanja Fidler

2022

Causal Scene BERT: Improving object detection by searching for challenging groups

Cinjon Resnick and Or Litany and Amlan Kar and Karsten Kreis and James Lucas and Kyunghyun Cho and Sanja Fidler

2021