Tyler Zhu - RankMe

23 papers A* 7Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Perception Test 2025: Challenge Summary and a Unified VQA Extension. CoRR Joseph Heyward, Nikhil Pathasarathy, Tyler Zhu, Aravindh Mahendran, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean
2026	J	`jnl`	Video Models Reason Early: Exploiting Plan Commitment for Maze Solving. CoRR Kaleb S. Newman, Tyler Zhu, Olga Russakovsky
2025	A*	`conf`	Attention IoU: Examining Biases in CelebA using Attention Maps. CVPR Aaron Serianni, Tyler Zhu, Olga Russakovsky, Vikram V. Ramaswamy
2025	J	`jnl`	Attention IoU: Examining Biases in CelebA using Attention Maps. CoRR Aaron Serianni, Tyler Zhu, Olga Russakovsky, Vikram V. Ramaswamy
2025	J	`jnl`	Dynamic Reflections: Probing Video Representations with Text Alignment. CoRR Tyler Zhu, Tengda Han, Leonidas J. Guibas, Viorica Patraucean, Maks Ovsjanikov
2025	A*	`conf`	Unifying Specialized Visual Encoders for Video Language Models. ICML Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky
2025	J	`jnl`	Unifying Specialized Visual Encoders for Video Language Models. CoRR Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky
2024	A*	`conf`	xT: Nested Tokenization for Larger Context in Large Images. ICML Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam
2024	J	`jnl`	xT: Nested Tokenization for Larger Context in Large Images. CoRR Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam
2023	J	`jnl`	PaReprop: Fast Parallelized Reversible Backpropagation. CoRR Tyler Zhu, Karttikeya Mangalam
2023	A*	`conf`	TryOnDiffusion: A Tale of Two UNets. CVPR Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
2023	J	`jnl`	TryOnDiffusion: A Tale of Two UNets. CoRR Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
2021	A*	`conf`	The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV 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
2020	J	`jnl`	BlazePose: On-device Real-time Body Pose tracking. CoRR Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann
2020	A*	`conf`	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2020	—	`conf`	SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. ECCV (29) Tyler Zhu, Per Karlsson, Christoph Bregler
2020	J	`jnl`	SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data. CoRR Tyler Zhu, Per Karlsson, Christoph Bregler
2020	J	`jnl`	The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR 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
2019	J	`jnl`	Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2018	—	`conf`	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018	J	`jnl`	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2017	A*	`conf`	Towards Accurate Multi-person Pose Estimation in the Wild. CVPR George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
2017	J	`jnl`	Towards Accurate Multi-person Pose Estimation in the Wild. CoRR George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy