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VINCENT VANHOUCKE
Author Info
Open Visualization
Name
Affiliation
Papers
VINCENT VANHOUCKE
Speech R&D Grp, Nuance Commun, Menlo Pk, CA 94025 USA
28
Collaborators
Citations
PageRank
111
4735
213.63
Referers
Referees
References
14591
688
258
Search Limit
100
1000
Publications (28 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items
0
0.34
2022
Mechanical Search on Shelves using Lateral Access X-RAY
0
0.34
2021
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
0
0.34
2020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
0
0.34
2020
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.
5
0.41
2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
0
0.34
2018
Classification Of Crystallization Outcomes Using Deep Convolutional Neural Networks
2
0.54
2018
Policies Modulating Trajectory Generators.
0
0.34
2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
25
0.71
2018
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.
525
14.62
2017
Learning to co-design.
0
0.34
2017
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow.
7
0.73
2017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
743
29.70
2016
Rethinking The Inception Architecture For Computer Vision
1243
40.74
2015
Real-Time Pedestrian Detection with Deep Network Cascades.
37
0.94
2015
Asynchronous stochastic optimization for sequence training of deep neural networks
26
2.25
2014
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.
0
0.34
2014
Multilingual acoustic models using distributed deep neural networks
74
4.31
2013
Multiframe deep neural networks for acoustic modeling
18
0.81
2013
Exemplar-based speech recognition in a rescoring approach.
0
0.34
2012
Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data
5
0.45
2012
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2005
111.42
2012
Automatic Training Set Segmentation For Multi-Pass Speech Recognition
1
0.39
2005
Confidence scoring and rejection using multi-pass speech recognition
0
0.34
2005
Design of compact acoustic models through clustering of tied-covariance Gaussians
1
0.41
2004
Variable length mixtures of inverse covariances
0
0.34
2003
Mixtures of inverse covariances
14
0.85
2003
Effects Of Prompt Style When Navigating Through Structured Data
4
0.63
2001
1