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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Sep 19, 2020
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer


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ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sep 07, 2020
Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer


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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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CoDeNet: Algorithm-hardware Co-design for Deformable Convolution

Jun 12, 2020
Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek

* https://github.com/DequanWang/CoDeNet. arXiv admin note: text overlap with arXiv:2002.08357 

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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Jun 07, 2020
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez


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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Apr 12, 2020
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

* 8 pages, 10 figures, accepted to CVPR 2020 

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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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Algorithm-hardware Co-design for Deformable Convolution

Feb 19, 2020
Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek


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Domain-Aware Dynamic Networks

Nov 26, 2019
Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer


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Efficient Deep Neural Networks

Aug 20, 2019
Bichen Wu

* Ph.D. dissertation of Bichen Wu 

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LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

Apr 19, 2019
Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer


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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

Dec 21, 2018
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha


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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Dec 14, 2018
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer


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Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

Nov 30, 2018
Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer


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Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

Nov 21, 2018
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees Vissers, John Wawrzynek, Kurt Keutzer

* To appear in the 27th International Symposium on Field-Programmable Gate Arrays, February 2019 

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SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Sep 22, 2018
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer

* Bichen Wu, Xuanyu Zhou, and Sicheng Zhao contributed equally to this paper 

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SqueezeNext: Hardware-Aware Neural Network Design

Aug 27, 2018
Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter Jin, Sicheng Zhao, Kurt Keutzer

* 12 Pages 

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A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving

Mar 31, 2018
Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli


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Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld

Mar 24, 2018
Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer


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Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Dec 03, 2017
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer

* Source code will be released afterwards 

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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Nov 29, 2017
Bichen Wu, Alvin Wan, Forrest Iandola, Peter H. Jin, Kurt Keutzer

* The supplementary material of this paper, which discusses the energy efficiency of SqueezeDet, is attached after the main paper. The source code of this work is open-source released at https://github.com/BichenWuUCB/squeezeDet 

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SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Oct 19, 2017
Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer


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Shallow Networks for High-Accuracy Road Object-Detection

Jun 05, 2016
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Mattthew W. Moskewicz, Kurt Keutzer

* 9 pages, 5 figures 

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