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DCANet: Dense Context-Aware Network for Semantic Segmentation


Apr 06, 2021
Yifu Liu, Chenfeng Xu, Xinyu Jin


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You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module


Mar 24, 2021
Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

* The code is available at https://github.com/chenfengxu714/YOGO.git 

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A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding


Mar 06, 2021
Di Feng, Yiyang Zhou, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan


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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals


Nov 25, 2020
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo


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Visual Transformers: Token-based Image Representation and Processing for Computer Vision


Jul 02, 2020
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda


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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation


Apr 03, 2020
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

* Code and data are available at: https://github.com/chenfengxu714/SqueezeSegV3.git 

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AutoScale: Learning to Scale for Crowd Counting


Dec 20, 2019
Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai

* CV 

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Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting


Aug 08, 2019
Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

* Accepted to ICCV 2019 

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Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting


Jul 29, 2019
Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai

* Accepted to ICCV 2019 

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