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CVPR 2020 BDD100K Dataset for Heterogeneous Multitask Learning
Localization (Waabi CVPR 23 Tutorial on Self-Driving Cars)
Computer Vision For Self-Driving Cars: Multi-Task Learning
[CVPR'21 WAD] Keynote - Raquel Urtasun, Waabi/University of Toronto
Semi-supervised Multi-task Learning for Semantics and Depth
Raquel Urtasun (Waabi Innovation Inc.): ICCV 2021 Workshop on Multi-Task Learning in Computer Vision
MulT: An End-to-End Multitask Learning Transformer (CVPR 2022)
BDD100K Dataset Overview CVPR 2020
Andrew Rabinovich (Headroom Inc.): ICCV 2021 Workshop on Multi-Task Learning in Computer Vision
Variable Selection and Task Grouping for Multi-Task Learning
BEVerse, a multi-task framework for perception and prediction for vision-centric autonomous driving
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Last Updated: September 28, 2026
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Summary
Talk given by James Hays, Jhony Pontes, Jagjeet Singh and Martin Li on 2021/06/20. argoverse.org/ Clips from Andrej Karpathy's talk at ICML (June 2019). I think This session will help you understand how self-driving vehicles robustly establish their precise position within HD maps in order to ... In this video, I show an implementation of a Talk given on 2021/06/20. Raquel Urtasun is a Full Professor in the Department of Computer Science at the University of Toronto ... Authors: Yufeng Wang (Beihang University)*; Yi-Hsuan Tsai (Phiar Technologies); Wei-Chih Hung (Waymo); Wenrui Ding ... Workshop webpage: sites.google.com/view/deepmtlworkshop/home. More information about BDD100K dataset is at bdd100k.com. Authors: Junyong Jeong (POSSTECH); Chi-Hyuck Jun (POSTECH) Abstract: We consider
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