Bo Chen

Affiliations:
  • Google, Venice, CA, USA
  • California Institute of Technology, Vision Lab, Pasadena, CA, USA (former)


According to our database1, Bo Chen authored at least 30 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision.
CoRR, 2022

2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
CoRR, 2020

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Low-Power Computer Vision: Status, Challenges, and Opportunities.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Low-Power Computer Vision: Status, Challenges, Opportunities.
CoRR, 2019

Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution.
CoRR, 2019

Searching for MobileNetV3.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MnasNet: Platform-Aware Neural Architecture Search for Mobile.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Special Session: 2018 Low-Power Image Recognition Challenge and Beyond.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
2018 Low-Power Image Recognition Challenge.
CoRR, 2018

MnasNet: Platform-Aware Neural Architecture Search for Mobile.
CoRR, 2018

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications.
CoRR, 2018

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications.
Proceedings of the Computer Vision - ECCV 2018, 2018

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks.
CoRR, 2017

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
CoRR, 2017

Seeing into Darkness: Scotopic Visual Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Vision without the Image.
Sensors, 2016

2015
Scotopic Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Learning Fine-Grained Image Similarity with Deep Ranking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation.
Proceedings of the British Machine Vision Conference, 2014

2012
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Predicting response time and error rates in visual search.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Inductive Principles for Restricted Boltzmann Machine Learning.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

On Tracker Selection for Peer-to-Peer Traffic Locality.
Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010

A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets.
Proceedings of the Information Theory and Applications Workshop, 2010

2008
Human Pose Estimation with Rotated Geometric Blur.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008


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