Towards Accurate Multi-person Pose Estimation in the Wild. - George Papandreou; Tyler Zhu; Nori Kanazawa; Alexander Toshev; Jonathan Tompson; Chris Bregler; Kevin Murphy 002 (CVPR, 2017)

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 002 (ECCV (14), 2018)

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)

SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. - Tyler Zhu; Per Karlsson; Christoph Bregler (ECCV (29), 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 (ICLR, 2020)

BlazePose: On-device Real-time Body Pose tracking. - Valentin Bazarevsky; Ivan Grishchenko; Karthik Raveendran; Tyler Zhu; Fan Zhang; Matthias Grundmann (CoRR, 2020)

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; et al. (ICCV, 2021)

TryOnDiffusion: A Tale of Two UNets. - Luyang Zhu; Dawei Yang; Tyler Zhu; Fitsum Reda; William Chan; Chitwan Saharia; Mohammad Norouzi 002; Ira Kemelmacher-Shlizerman (CVPR, 2023)

PaReprop: Fast Parallelized Reversible Backpropagation. - Tyler Zhu; Karttikeya Mangalam (CoRR, 2023)

xT: Nested Tokenization for Larger Context in Large Images. - Ritwik Gupta; Shufan Li; Tyler Zhu; Jitendra Malik; Trevor Darrell; Karttikeya Mangalam (ICML, 2024)

Attention IoU: Examining Biases in CelebA using Attention Maps. - Aaron Serianni; Tyler Zhu; Olga Russakovsky; Vikram V. Ramaswamy (CVPR, 2025)

Unifying Specialized Visual Encoders for Video Language Models. - Jihoon Chung; Tyler Zhu; Max Gonzalez Saez-Diez; Juan Carlos Niebles; Honglu Zhou; Olga Russakovsky (CoRR, 2025)