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2020 – today
- 2024
[c7]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. ICML 2024- [i9]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. CoRR abs/2403.01915 (2024) - 2023
- [c6]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: 4606-4615 - [i8]Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman:
TryOnDiffusion: A Tale of Two UNets. CoRR abs/2306.08276 (2023) - [i7]Tyler Zhu, Karttikeya Mangalam:
PaReprop: Fast Parallelized Reversible Backpropagation. CoRR abs/2306.09342 (2023) - 2021
- [c5]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: 8320-8329 - 2020
- [c4]Tyler Zhu, Per Karlsson, Christoph Bregler:
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. ECCV (29) 2020: 225-242 - [c3]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 - [i6]Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann:
BlazePose: On-device Real-time Body Pose tracking. CoRR abs/2006.10204 (2020) - [i5]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 abs/2006.16241 (2020) - [i4]Tyler Zhu, Per Karlsson, Christoph Bregler:
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. CoRR abs/2007.15506 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1903.03096 (2019) - 2018
- [c2]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: 282-299 - [i2]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 abs/1803.08225 (2018) - 2017
- [c1]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: 3711-3719 - [i1]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 abs/1701.01779 (2017)
Coauthor Index
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