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Bichen Wu
Bichen Wu
GenAI at Meta, 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
14792019
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
9772018
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
7322017
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
7012019
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
5162020
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
4232021
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
4202018
Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation
C Xu, B Wu, Z Wang, W Zhan, P Vajda, K Keutzer, M Tomizuka
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
4022020
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
3462018
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
3302020
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
3102019
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
2742018
Open-vocabulary semantic segmentation with mask-adapted clip
F Liang, B Wu, X Dai, K Li, Y Zhao, H Zhang, P Zhang, P Vajda, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2562023
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
2442018
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 33 (2), 473-493, 2020
2372020
Fbnetv3: Joint architecture-recipe search using predictor pretraining
X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
171*2021
Cross-domain adaptive teacher for object detection
YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vajda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1392022
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
1352019
Image2point: 3d point-cloud understanding with 2d image pretrained models
C Xu, S Yang, T Galanti, B Wu, X Yue, B Zhai, W Zhan, P Vajda, K Keutzer, ...
European Conference on Computer Vision, 638-656, 2022
752022
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
742021
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