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SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data


Jul 30, 2020
Tyler Zhu, Per Karlsson, Christoph Bregler

* To appear in the Proceedings of ECCV 2020 

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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization


Jun 29, 2020
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

* Datasets, code, and models available at https://github.com/hendrycks/imagenet-r 

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BlazePose: On-device Real-time Body Pose tracking


Jun 17, 2020
Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann

* 4 pages, 6 figures; CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, USA, 2020 

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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples


Mar 07, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle


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PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model


Mar 22, 2018
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

* Person detection and pose estimation, segmentation and grouping 

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Towards Accurate Multi-person Pose Estimation in the Wild


Apr 14, 2017
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

* Paper describing an improved version of the G-RMI entry to the 2016 COCO keypoints challenge (http://image-net.org/challenges/ilsvrc+coco2016). Camera ready version to appear in the Proceedings of CVPR 2017 

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