Wu, Bichen

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

Wu, B., Wan, A., Yue, X., & Keutzer, K. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 967

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

Wu, B., Wan, A., Iandola, F., Jin, P. H., & Keutzer, K. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 614

SqueezeNext: Hardware-Aware Neural Network Design

Gholami, A., Kwon, K., Wu, B., Tai, Z., Yue, X., Jin, P., Zhao, S., & Keutzer, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 350

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

Dai, X., Zhang, P., Wu, B., Yin, H., Sun, F., Wang, Y., Dukhan, M., Hu, Y., Wu, Y., Jia, Y., et al. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 279

Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

Wu, B., Wang, Y., Zhang, P., Tian, Y., Vajda, P., & Keutzer, K. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 186