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Optimizing Anchor-based Detectors for Autonomous Driving Scenes


Aug 11, 2022
Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin

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Auto-scaling Vision Transformers without Training


Feb 27, 2022
Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

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* ICLR 2022 accepted 

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Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance


Feb 24, 2022
Zhuoning Yuan, Yuexin Wu, Zihao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang

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A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation


Dec 17, 2021
Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

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Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text


Dec 14, 2021
Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown

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* preliminary work 

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Revisiting 3D ResNets for Video Recognition


Sep 03, 2021
Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello

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* 6 pages 

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Simple Training Strategies and Model Scaling for Object Detection


Jun 30, 2021
Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin

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* 8 pages 

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Dilated SpineNet for Semantic Segmentation


Mar 23, 2021
Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li

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* 8 pages 

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Revisiting ResNets: Improved Training and Scaling Strategies


Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph

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Efficient Scale-Permuted Backbone with Learned Resource Distribution


Oct 22, 2020
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc Le, Xiaodan Song

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* ECCV2020 

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