Zhu, Tyler

9 publications

CVPR 2025 Attention IoU: Examining Biases in CelebA Using Attention Maps Aaron Serianni, Tyler Zhu, Olga Russakovsky, Vikram V. Ramaswamy

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

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

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

ICCV 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

ICLR 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

ECCV 2020 SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data Tyler Zhu, Per Karlsson, Christoph Bregler

ECCV 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

CVPR 2017 Towards Accurate Multi-Person Pose Estimation in the Wild George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy