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2020 – today
- 2023
[i21]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023)- 2022
- [c33]Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL 2022: 287-318 - [c32]Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B. McHugh, Vincent Vanhoucke:
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items. ICRA 2022: 2553-2560 - [c31]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg:
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. IROS 2022: 251-257 - [i20]Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR abs/2204.00598 (2022) - [i19]Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR abs/2204.01691 (2022) - [i18]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg:
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. CoRR abs/2204.10297 (2022) - [i17]Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B. McHugh, Vincent Vanhoucke:
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items. CoRR abs/2204.11918 (2022) - [i16]Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich:
RT-1: Robotics Transformer for Real-World Control at Scale. CoRR abs/2212.06817 (2022) - 2021
- [c30]Huang Huang, Marcus Dominguez-Kuhne, Vishal Satish, Michael Danielczuk, Kate Sanders, Jeffrey Ichnowski, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
Mechanical Search on Shelves using Lateral Access X-RAY. IROS 2021: 2045-2052 - 2020
- [c29]Péter Karkus
, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA 2020: 4753-4759 - [c28]Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. IROS 2020: 9577-9584 - [i15]Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. CoRR abs/2004.09039 (2020) - [i14]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR abs/2005.09530 (2020) - [i13]Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
Mechanical Search on Shelves using Lateral Access X-RAY. CoRR abs/2011.11696 (2020)
2010 – 2019
- 2019
- [i12]Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke:
Policies Modulating Trajectory Generators. CoRR abs/1910.02812 (2019) - 2018
- [c27]Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine:
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. CoRL 2018: 99-112 - [c26]Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine:
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRL 2018: 651-673 - [c25]Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke:
Policies Modulating Trajectory Generators. CoRL 2018: 916-926 - [c24]Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke:
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. ICRA 2018: 4243-4250 - [c23]Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke:
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. Robotics: Science and Systems 2018 - [i11]Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Shawn Williams, Julie Wilson:
Classification of crystallization outcomes using deep convolutional neural networks. CoRR abs/1803.10342 (2018) - [i10]Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke:
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. CoRR abs/1804.10332 (2018) - [i9]Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine:
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. CoRR abs/1806.10293 (2018) - [i8]Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine:
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. CoRR abs/1811.06964 (2018) - 2017
- [c22]Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. AAAI 2017: 4278-4284 - [c21]Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke:
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. CVPR 2017: 7464-7473 - [c20]Vincent Vanhoucke:
Learning to co-design. TIML@ISCA 2017: 9 - [i7]Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke:
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video. CoRR abs/1702.00824 (2017) - [i6]Danijar Hafner, James Davidson, Vincent Vanhoucke:
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. CoRR abs/1709.02878 (2017) - [i5]Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke:
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping. CoRR abs/1709.07857 (2017) - 2016
- [c19]Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna:
Rethinking the Inception Architecture for Computer Vision. CVPR 2016: 2818-2826 - [i4]Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. CoRR abs/1602.07261 (2016) - [i3]Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - 2015
- [c18]Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, Dave Ferguson:
Real-Time Pedestrian Detection with Deep Network Cascades. BMVC 2015: 32.1-32.12 - [c17]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich:
Going deeper with convolutions. CVPR 2015: 1-9 - [c16]Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke:
Pedestrian detection with a Large-Field-Of-View deep network. ICRA 2015: 704-711 - [i2]Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna:
Rethinking the Inception Architecture for Computer Vision. CoRR abs/1512.00567 (2015) - 2014
- [c15]Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew W. Senior, Michiel Bacchiani:
Asynchronous stochastic optimization for sequence training of deep neural networks. ICASSP 2014: 5587-5591 - [c14]Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton:
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. INTERSPEECH 2014: 1905-1909 - [i1]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich:
Going Deeper with Convolutions. CoRR abs/1409.4842 (2014) - 2013
- [c13]Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton:
On rectified linear units for speech processing. ICASSP 2013: 3517-3521 - [c12]Vincent Vanhoucke, Matthieu Devin, Georg Heigold:
Multiframe deep neural networks for acoustic modeling. ICASSP 2013: 7582-7585 - [c11]Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean:
Multilingual acoustic models using distributed deep neural networks. ICASSP 2013: 8619-8623 - 2012
- [c10]Georg Heigold, Patrick Nguyen, Mitchel Weintraub, Vincent Vanhoucke:
Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data. ICASSP 2012: 4437-4440 - [c9]Navdeep Jaitly, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke:
Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition. INTERSPEECH 2012: 2578-2581 - 2010
- [c8]Françoise Beaufays, Vincent Vanhoucke, Brian Strope:
Unsupervised discovery and training of maximally dissimilar cluster models. INTERSPEECH 2010: 66-69
2000 – 2009
- 2007
- [c7]Vincent Vanhoucke, Burak Gokturk:
Reading text in consumer digital photographs. DRR 2007: 650007 - 2005
- [c6]Mark Z. Mao, Vincent Vanhoucke, Brian Strope:
Automatic Training Set Segmentation for Multi-pass Speech Recognition. ICASSP (1) 2005: 685-688 - [c5]Vincent Vanhoucke:
Confidence scoring and rejection using multi-pass speech recognition. INTERSPEECH 2005: 3133-3136 - 2004
- [j1]Vincent Vanhoucke, Ananth Sankar:
Mixtures of inverse covariances. IEEE Trans. Speech Audio Process. 12(3): 250-264 (2004) - [c4]Mark Z. Mao, Vincent Vanhoucke:
Design of compact acoustic models through clustering of tied-covariance Gaussians. INTERSPEECH 2004 - 2003
- [c3]Vincent Vanhoucke, Ananth Sankar:
Mixtures of inverse covariances. ICASSP (1) 2003: 852-855 - [c2]Vincent Vanhoucke, Ananth Sankar:
Variable length mixtures of inverse covariances. INTERSPEECH 2003 - 2001
- [c1]Vincent Vanhoucke, W. Lawrence Neeley Jr., Maria Mortati, Michael Sloan, Clifford Nass:
Effects of Prompt Style when Navigating through Structured Data. INTERACT 2001: 530-536
Coauthor Index
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last updated on 2023-03-26 01:45 CET by the dblp team
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