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Saining Xie

CiT: Curation in Training for Effective Vision-Language Data

Jan 05, 2023
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

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* Technical Report

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ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Jan 02, 2023
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie

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* Code and models available at https://github.com/facebookresearch/ConvNeXt-V2

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Scalable Diffusion Models with Transformers

Dec 19, 2022
William Peebles, Saining Xie

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* Code, project page and videos available at https://www.wpeebles.com/DiT

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Exploring Long-Sequence Masked Autoencoders

Oct 13, 2022
Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen

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* 11 pages

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A ConvNet for the 2020s

Jan 10, 2022
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

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* Technical report; Code: https://github.com/facebookresearch/ConvNeXt

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Masked Feature Prediction for Self-Supervised Visual Pre-Training

Dec 16, 2021
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, Christoph Feichtenhofer

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* Technical report

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Masked Autoencoders Are Scalable Vision Learners

Dec 02, 2021
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick

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* Tech report. arXiv v2: add more transfer learning results

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