Toronto Intelligent Systems Lab
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Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
Autonomous racing is a challenging task that requires vehicle han- dling at the dynamic limits of friction. While single-agent …
Peter Werner
,
Tim Seyde
,
Paul Drews
,
Thomas Balch
,
Wilko Schwarting
,
Igor Gilitschenski
,
Guy Rossman
,
Sertac Karaman
,
Daniela Rus
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Project
Video
Reference-guided Controllable Inpainting of Neural Radiance Fields
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a desire for NeRF editing tools. Here, we focus on …
Ashkan Mirzaei
,
Tristan Aumentado-Armstrong
,
Marcus A. Brubaker
,
Jonathan Kelly
,
Alex Levinshtein
,
Konstantinos G. Derpanis
,
Igor Gilitschenski
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Project
Video
Invertible Neural Skinning
Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing …
Yash Kant
,
Aliaksandr Siarohin
,
Riza Alp Guler
,
Menglei Chai
,
Jian Ren
,
Sergey Tulyakov
,
Igor Gilitschenski
Preprint
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Project
SparsePose: Sparse-View Camera Pose Regression and Refinement
Camera pose estimation is a key step in standard 3D reconstruction pipelines that operate on a dense set of images of a single object …
Samarth Sinha
,
Jason Y. Zhang
,
Andrea Tagliasacchi
,
Igor Gilitschenski
,
David B. Lindell
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SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel view synthesis. While NeRFs are quickly being adapted for a …
Ashkan Mirzaei
,
Tristan Aumentado-Armstrong
,
Konstantinos G. Derpanis
,
Jonathan Kelly
,
Marcus A. Brubaker
,
Igor Gilitschenski
,
Alex Levinshtein
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Code
Dataset
Video
Solving Continuous Control via Q-Learning
Tim Seyde
,
Peter Werner
,
Wilko Schwarting
,
Igor Gilitschenski
,
Martin Riedmiller
,
Daniela Rus
,
Markus Wulfmeier
Preprint
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Housekeep: Tidying Virtual Households using Commonsense Reasoning
We introduce Housekeep, a benchmark to evaluate commonsense reasoning in the home for embodied AI. In Housekeep, an embodied agent must …
Yash Kant
,
Arun Ramachandran
,
Sriram Yenamandra
,
Igor Gilitschenski
,
Dhruv Batra
,
Andrew Szot*
,
Harsh Agrawal*
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Code
Video
LaTeRF: Label and Text Driven Object Radiance Fields
Obtaining 3D object representations is important for creating photo-realistic simulators and collecting assets for AR/VR applications. …
Ashkan Mirzaei
,
Yash Kant
,
Jonathan Kelly
,
Igor Gilitschenski
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Code
Video
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Ryan Sander
,
Wilko Schwarting
,
Tim Seyde
,
Igor Gilitschenski
,
Sertac Karaman
,
Daniela Rus
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Project
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction
Temporal patterns (how vehicles behave in our observed past) underline our reasoning of how people drive on the road, and can explain …
Yutong Ban
,
Xiao Li
,
Guy Rosman
,
Igor Gilitschenski
,
Ozanan Meireles
,
Sertac Karaman
,
Daniela Rus
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