Search Results for author: Tyler Zhu

Found 10 papers, 6 papers with code

xT: Nested Tokenization for Larger Context in Large Images

1 code implementation4 Mar 2024 Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam

Modern computer vision pipelines handle large images in one of two sub-optimal ways: down-sampling or cropping.

PaReprop: Fast Parallelized Reversible Backpropagation

no code implementations15 Jun 2023 Tyler Zhu, Karttikeya Mangalam

We present PaReprop, a fast Parallelized Reversible Backpropagation algorithm that parallelizes the additional activation re-computation overhead in reversible training with the gradient computation itself in backpropagation phase.


TryOnDiffusion: A Tale of Two UNets

1 code implementation CVPR 2023 Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman

Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person.

Virtual Try-on

A Rigorous Evaluation of Real-World Distribution Shifts

no code implementations1 Jan 2021 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

Motivated by this, we introduce a new data augmentation method which advances the state-of-the-art and outperforms models pretrained with 1000x more labeled data.

Data Augmentation

SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data

no code implementations30 Jul 2020 Tyler Zhu, Per Karlsson, Christoph Bregler

Additionally, we present our model's 3D surface normal predictions on the MSCOCO dataset that lacks any real 3D surface normal labels.

Domain Generalization Multi-Task Learning +2

BlazePose: On-device Real-time Body Pose tracking

7 code implementations17 Jun 2020 Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, Matthias Grundmann

We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.

2D Human Pose Estimation 3D Human Pose Estimation +4

Towards Accurate Multi-person Pose Estimation in the Wild

no code implementations CVPR 2017 George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

Trained on COCO data alone, our final system achieves average precision of 0. 649 on the COCO test-dev set and the 0. 643 test-standard sets, outperforming the winner of the 2016 COCO keypoints challenge and other recent state-of-art.

Human Detection Keypoint Detection +1

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