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Bichen Wu
Bichen Wu
Meta Reality Labs, UC Berkeley
Verified email at berkeley.edu
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Year
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
8612019
Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
B Wu, A Wan, X Yue, K Keutzer
2018 IEEE International Conference on Robotics and Automation (ICRA), 1887-1893, 2018
5252018
Squeezedet: Unified, small, low power fully convolutional neural networks for real-time object detection for autonomous driving
B Wu, F Iandola, PH Jin, K Keutzer
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5212017
Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
B Wu, X Zhou, S Zhao, X Yue, K Keutzer
2019 International Conference on Robotics and Automation (ICRA), 4376-4382, 2019
3322019
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2612018
Squeezenext: Hardware-aware neural network design
A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1922018
Chamnet: Towards efficient network design through platform-aware model adaptation
X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1832019
Visual transformers: Token-based image representation and processing for computer vision
B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, J Gonzalez, ...
arXiv preprint arXiv:2006.03677, 2020
1662020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
arXiv preprint arXiv:2004.05565, 2020
1622020
Mixed precision quantization of convnets via differentiable neural architecture search
B Wu, Y Wang, P Zhang, Y Tian, P Vajda, K Keutzer
arXiv preprint arXiv:1812.00090, 2018
1502018
Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation
C Xu, B Wu, Z Wang, W Zhan, P Vajda, K Keutzer, M Tomizuka
European Conference on Computer Vision, 1-19, 2020
1332020
A lidar point cloud generator: from a virtual world to autonomous driving
X Yue, B Wu, SA Seshia, K Keutzer, AL Sangiovanni-Vincentelli
Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018
1332018
Synetgy: Algorithm-hardware co-design for convnet accelerators on embedded fpgas
Y Yang, Q Huang, B Wu, T Zhang, L Ma, G Gambardella, M Blott, ...
Proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019
932019
Unbiased teacher for semi-supervised object detection
YC Liu, CY Ma, Z He, CW Kuo, K Chen, P Zhang, B Wu, Z Kira, P Vajda
arXiv preprint arXiv:2102.09480, 2021
882021
A review of single-source deep unsupervised visual domain adaptation
S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ...
IEEE Transactions on Neural Networks and Learning Systems, 2020
662020
Shallow networks for high-accuracy road object-detection
K Ashraf, B Wu, FN Iandola, MW Moskewicz, K Keutzer
arXiv preprint arXiv:1606.01561, 2016
592016
Fbnetv3: Joint architecture-recipe search using neural acquisition function
X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ...
422020
Co-design of deep neural nets and neural net accelerators for embedded vision applications
K Kwon, A Amid, A Gholami, B Wu, K Asanovic, K Keutzer
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
282018
ePointDA: An end-to-end simulation-to-real domain adaptation framework for LiDAR point cloud segmentation
S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3500-3509, 2021
242021
Latte: accelerating lidar point cloud annotation via sensor fusion, one-click annotation, and tracking
B Wang, V Wu, B Wu, K Keutzer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 265-272, 2019
222019
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