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Vincent Vanhoucke

Principal Scientist

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Vincent Vanhoucke is a Principal Scientist at Google. He is a technical lead in the Google Brain Team and manages Google's Robotics Research effort. Prior to that, he lead Brain's vision and perception research, and the speech recognition quality team for Google Search by Voice.

Papers60 papers

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Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

Karkus Peter,Angelova Anelia,Vanhoucke Vincent, Jonschkowski Rico

Bibtex

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

Eric Jang,Coline Devin,Vincent Vanhoucke,Sergey Levine

CoRL, (2018): 99-112

Cited by2EIBibtex

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov,Alex Irpan,Peter Pastor, Julian Ibarz, Alexander Herzog,Eric Jang, Deirdre Quillen, Ethan Holly,Mrinal Kalakrishnan,Vincent Vanhoucke,Sergey Levine

CoRL, pp.651-673, (2018)

EIBibtex

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov,Alex Irpan,Peter Pastor,Julian Ibarz, Alexander Herzog,Eric Jang, Deirdre Quillen, Ethan Holly,Mrinal Kalakrishnan,Vincent Vanhoucke,Sergey Levine

arXiv: Learning, (2018): 651-673

Cited by13EIBibtex

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Jie Tan,Tingnan Zhang,Erwin Coumans,Atil Iscen,Yunfei Bai, Danijar Hafner,Steven Bohez,Vincent Vanhoucke

Robotics: Science and Systems, (2018)

Cited by62EIBibtex

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Konstantinos Bousmalis,Alex Irpan, Paul Wohlhart,Yunfei Bai, Matthew Kelcey,Mrinal Kalakrishnan, Laura Downs,Julian Ibarz,Peter Pastor,Kurt Konolige,Sergey Levine,Vincent Vanhoucke

international conference on robotics and automation, (2018)

Cited by253EIBibtex

Policies Modulating Trajectory Generators

Atil Iscen,Ken Caluwaerts,Jie Tan,Tingnan Zhang,Erwin Coumans,Vikas Sindhwani,Vincent Vanhoucke

CoRL, pp.916-926, (2018)

EIBibtex

Classification of crystallization outcomes using deep convolutional neural networks

Andrew E. Bruno,Patrick Charbonneau,Janet Newman,Edward H. Snell, David R. So,Vincent Vanhoucke,Shawn Williams,Julie Wilson

PloS one, no. 6 (2018)

Cited by2EIWOSBibtex

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Esteban Real,Jonathon Shlens, Stefano Mazzocchi,Xin Pan,Vincent Vanhoucke

CVPR, (2017)

Cited by134EIBibtex

Processing images using deep neural networks

C Szegedy,VO Vanhoucke

Cited by5Bibtex

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Christian Szegedy,Sergey Ioffe,Vincent Vanhoucke

AAAI, (2017): 4278-4284

Cited by4834EIBibtex

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

Danijar Hafner,James Davidson,Vincent Vanhoucke

arXiv: Learning, (2017)

Cited by9EIBibtex

Learning to co-design

Vincent Vanhoucke

TIML@ISCA, pp.1-86, (2017)

EIBibtex

Keyword detection without decoding

VO Vanhoucke,O Vinyals, PAP Nguyen, MCP San Martin, J Schalkwyk

Cited by6Bibtex

Frame-level combination of deep neural network and gaussian mixture models

H Lin, X Lei,V Vanhoucke

Cited by5Bibtex

Multilingual, acoustic deep neural networks

VO Vanhoucke,JA Dean,G Heigold,M Devin, PAP Nguyen, AW Senior

Cited by6Bibtex

Rethinking the Inception Architecture for Computer Vision

Christian Szegedy,Vincent Vanhoucke,Sergey Ioffe,Jonathon Shlens, Zbigniew Wojna

CVPR, (2016)

Cited by8432EIBibtex

Pedestrian detection with a Large-Field-Of-View deep network

Anelia Angelova,Alex Krizhevsky,Vincent Vanhoucke

IEEE International Conference on Robotics and Automation, (2015)

Cited by88EIBibtex

DYNAMIC SELECTION AMONG ACOUSTIC TRANSFORMS

Francoise Beaufays, Johan Schalkwyk,Vincent Vanhoucke, Petar Stanisa Aleksic

(2015)

Cited by3Bibtex

ASYNCHRONOUS OPTIMIZATION FOR SEQUENCE TRAINING OF NEURAL NETWORKS

Georg Heigold,Erik Mcdermott,Vincent Vanhoucke, Andrew Senior, Michiel A U Bacchiani

(2015)

Cited by5Bibtex

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