Vincent Vanhoucke

112.4k citations

37 papers · 62.8k indexed · 10 hit papers · h-index 19

Impact in

Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Artificial Intelligence top 0.01%
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis

Papers in

Signal Processing 15
- Music and Audio Processing 13
- Speech and Audio Processing 13
Artificial Intelligence 31
- Speech Recognition and Synthesis 17
- Domain Adaptation and Few-Shot Learning 4
- Anomaly Detection Techniques and Applications 4
- Neural Networks and Applications 3

Co-authors: Christian Szegedy Sergey Ioffe Zbigniew Wojna Dragomir Anguelov Scott Reed Andrew Rabinovich Pierre Sermanet Dumitru Erhan
Journals: IEEE Signal Processing Magazine (2 papers)IEEE Transactions on Speech and Audio Processing (1 paper)The Journal of the Acoustical Society of America (1 paper)PLoS ONE (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
Partner nations: United States United Kingdom Canada

In The Last Decade

Vincent Vanhoucke

36 papers receiving 60.2k citations

Hit Papers

10 papers align trajectories log scale

Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items 2022 · 154 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 2022 International Conference on Robotics and Automation (ICRA)
2018 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
2017 YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
2017 Proceedings of the AAAI Conference on Artificial Intelligence
2016 Rethinking the Inception Architecture for Computer Vision
2015 Going deeper with convolutions
2013 On rectified linear units for speech processing
2012 IEEE Signal Processing Magazine
2012 IEEE Signal Processing Magazine
2011 Improving the speed of neural networks on CPUs

Peers

Countries citing papers authored by Vincent Vanhoucke

Since Specialization

Citations

This map shows the geographic impact of Vincent Vanhoucke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vincent Vanhoucke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Vanhoucke more than expected).

Fields of papers citing papers by Vincent Vanhoucke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Vanhoucke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vincent Vanhoucke. The network helps show where Vincent Vanhoucke may publish in the future.

Co-authors

The 25 scholars most cited alongside Vincent Vanhoucke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vincent Vanhoucke Line = papers co-authored together Vincent Vanhoucke links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg	2022	11
2	Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items 2022 International Conference on Robotics and Automation (ICRA) ·Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas Barlow McHugh, Vincent Vanhoucke Hit paper breakdown →	2022	154
3	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov, Alex Irpan, Peter Pástor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine	2018	71
4	Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine	2018	12
5	Classification of crystallization outcomes using deep convolutional neural networks PLoS ONE ·Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Christopher J. Watkins, Shawn P. Williams, Julie Wilson	2018	63
6	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 Hit paper breakdown →	2017	366
7	Rethinking the Inception Architecture for Computer Vision Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna Hit paper breakdown →	2016	19265
8	Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich Hit paper breakdown →	2015	30609
9	Pedestrian detection with a Large-Field-Of-View deep network Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke	2015	58
10	Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton	2014	8
11	MULTI-FRAME PREDICTION FOR HYBRID NEURAL NETWORK/HIDDEN MARKOV MODELS The Journal of the Acoustical Society of America ·Vincent Vanhoucke	2013	1
12	On rectified linear units for speech processing Matthew D. Zeiler, M. Ranzato, Rajat Monga, M. Mao, Ke Yang, Quoc V. Le, P. Nguyen, Andrew Senior, Vincent Vanhoucke, Jay B. Dean, Geoffrey E. Hinton Hit paper breakdown →	2013	315
13	Multilingual acoustic models using distributed deep neural networks Georg Heigold, Vincent Vanhoucke, Andrew Senior, P. Nguyen, M. Ranzato, Matthieu Devin, Jay B. Dean	2013	199
14	Deep Neural Networks for Acoustic Modeling in Speech Recognition IEEE Signal Processing Magazine ·Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, Brian Kingsbury Hit paper breakdown →	2012	1169
15	The shared views of four research groups ) Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, Brian Kingsbury	2012	1
16	Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data Georg Heigold, Patrick Nguyen, M. Weintraub, Vincent Vanhoucke	2012	8
17	Improving the speed of neural networks on CPUs Vincent Vanhoucke, Andrew Senior, M. Mao Hit paper breakdown →	2011	384
18	Design of compact acoustic models through clustering of tied-covariance Gaussians M. Mao, Vincent Vanhoucke	2004	1
19	Mixtures of inverse covariances 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ·Vincent Vanhoucke, A. Sankar	2003	5
20	Effects of Prompt Style when Navigating through Structured Data. International Conference on Human-Computer Interaction ·Vincent Vanhoucke, W. Lawrence Neeley, Maria Mortati, Michael Sloan, Clifford Nass	2001	8

About Vincent Vanhoucke

Vincent Vanhoucke is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 37 papers that have together received 62.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (13 papers), Speech and Audio Processing (13 papers), Robot Manipulation and Learning (6 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (30.8k citations), Artificial Intelligence (23.2k citations), Signal Processing (6.3k citations), Media Technology (4.8k citations) and Radiology, Nuclear Medicine and Imaging (7.3k citations). Vincent Vanhoucke has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christian Szegedy, Sergey Ioffe, Zbigniew Wojna, Dragomir Anguelov, Scott Reed, Andrew Rabinovich, Pierre Sermanet, Dumitru Erhan, Yangqing Jia and Wei Liu. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Speech and Audio Processing, The Journal of the Acoustical Society of America, PLoS ONE and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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