Tyler Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Pose Estimation

Standard Learning Algorithms

Top Venues

Publications

Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam
xT: Nested Tokenization for Larger Context in Large Images. CoRR (2024)
Tyler Zhu, Karttikeya Mangalam
PaReprop: Fast Parallelized Reversible Backpropagation. CoRR (2023)
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
TryOnDiffusion: A Tale of Two UNets. CVPR (2023)
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
TryOnDiffusion: A Tale of Two UNets. CoRR (2023)
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
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV (2021)
Tyler Zhu, Per Karlsson, Christoph Bregler
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. ECCV (29) (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR (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
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR (2020)
Tyler Zhu, Per Karlsson, Christoph Bregler
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. CoRR (2020)
Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann
BlazePose: On-device Real-time Body Pose tracking. CoRR (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR (2019)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR (2018)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) (2018)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR (2017)