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A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision


Jan 06, 2022
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz


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Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation


Dec 20, 2021
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez

* 19 pages, 6 figures 

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FBNetV5: Neural Architecture Search for Multiple Tasks in One Run


Nov 30, 2021
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda


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Cross-Domain Object Detection via Adaptive Self-Training


Nov 25, 2021
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vadja

* 15 pages. arXiv admin note: text overlap with arXiv:2003.00707, arXiv:1904.11245, arXiv:1910.11319, arXiv:2003.09152 by other authors 

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Differentiable NAS Framework and Application to Ads CTR Prediction


Oct 25, 2021
Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer


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Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets


Jun 08, 2021
Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

* The code is avaliable at: \url{https://github.com/chenfengxu714/image2point

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Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation


Apr 18, 2021
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez

* 4 pages, 1 figure 

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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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Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning


Mar 10, 2021
Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu


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Unbiased Teacher for Semi-Supervised Object Detection


Feb 18, 2021
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda

* Accepted to ICLR 2021; Code is available at https://github.com/facebookresearch/unbiased-teacher 

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FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge


Nov 25, 2020
Bichen Wu, Qing He, Peizhao Zhang, Thilo Koehler, Kurt Keutzer, Peter Vajda


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FP-NAS: Fast Probabilistic Neural Architecture Search


Nov 24, 2020
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli


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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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