Tyler Zhu

According to our database, Tyler Zhu authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

xT: Nested Tokenization for Larger Context in Large Images.

Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

PaReprop: Fast Parallelized Reversible Backpropagation.

Tyler Zhu, Karttikeya Mangalam

CoRR, 2023

TryOnDiffusion: A Tale of Two UNets.

Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

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

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

BlazePose: On-device Real-time Body Pose tracking.

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

CoRR, 2020

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

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

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Tyler Zhu, Per Karlsson, Christoph Bregler

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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

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

CoRR, 2019

2018

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

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

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Towards Accurate Multi-person Pose Estimation in the Wild.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017