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Deep Learning for Tactile Understanding From Visual and Haptic Data
v1v2 (latest)

Deep Learning for Tactile Understanding From Visual and Haptic Data

19 November 2015
Yang Gao
Lisa Anne Hendricks
Katherine J. Kuchenbecker
Trevor Darrell
ArXiv (abs)PDFHTML

Papers citing "Deep Learning for Tactile Understanding From Visual and Haptic Data"

11 / 11 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
120
3,176
0
12 Jan 2023
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
EmoNets: Multimodal deep learning approaches for emotion recognition in
  video
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou
Xavier Bouthillier
Pascal Lamblin
Çağlar Gülçehre
Vincent Michalski
...
Aaron Courville
Pascal Vincent
Roland Memisevic
C. Pal
Yoshua Bengio
192
401
0
05 Mar 2015
Grammar as a Foreign Language
Grammar as a Foreign Language
Oriol Vinyals
Lukasz Kaiser
Terry Koo
Slav Petrov
Ilya Sutskever
Geoffrey E. Hinton
121
932
0
23 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
109
527
0
01 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,694
0
17 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
127
1,561
0
22 Jul 2014
Analyzing the Performance of Multilayer Neural Networks for Object
  Recognition
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Pulkit Agrawal
Ross B. Girshick
Jitendra Malik
SSL
120
444
0
07 Jul 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,217
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
191
4,950
0
06 Oct 2013
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