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Material Recognition in the Wild with the Materials in Context Database

Material Recognition in the Wild with the Materials in Context Database

1 December 2014
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
ArXivPDFHTML

Papers citing "Material Recognition in the Wild with the Materials in Context Database"

25 / 175 papers shown
Title
Deep Outdoor Illumination Estimation
Deep Outdoor Illumination Estimation
Yannick Hold-Geoffroy
Kalyan Sunkavalli
Sunil Hadap
Emiliano Gambaretto
Jean-François Lalonde
3DV
17
208
0
19 Nov 2016
Crowdsourcing in Computer Vision
Crowdsourcing in Computer Vision
Adriana Kovashka
Olga Russakovsky
Li Fei-Fei
Kristen Grauman
HAI
VLM
3DV
49
149
0
07 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
48
670
0
07 Sep 2016
A 4D Light-Field Dataset and CNN Architectures for Material Recognition
A 4D Light-Field Dataset and CNN Architectures for Material Recognition
Tingxian Wang
Jun-Yan Zhu
Hiroaki Ebi
Manmohan Chandraker
Alexei A. Efros
R. Ramamoorthi
3DV
13
185
0
24 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,833
0
18 Aug 2016
Geometry-Informed Material Recognition
Geometry-Informed Material Recognition
Joseph DeGol
Mani Golparvar-Fard
Derek Hoiem
3DV
11
50
0
18 Jul 2016
Click Carving: Segmenting Objects in Video with Point Clicks
Click Carving: Segmenting Objects in Video with Point Clicks
S. Jain
Kristen Grauman
19
54
0
05 Jul 2016
Geometry in Active Learning for Binary and Multi-class Image
  Segmentation
Geometry in Active Learning for Binary and Multi-class Image Segmentation
Ksenia Konyushkova
Raphael Sznitman
Pascal Fua
17
26
0
29 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
89
18,051
0
02 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Weakly Supervised Learning of Affordances
Weakly Supervised Learning of Affordances
A. Srikantha
Juergen Gall
25
20
0
10 May 2016
Integrating Local Material Recognition with Large-Scale Perceptual
  Attribute Discovery
Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery
Gabriel Schwartz
Ko Nishino
14
1
0
05 Apr 2016
Friction from Reflectance: Deep Reflectance Codes for Predicting
  Physical Surface Properties from One-Shot In-Field Reflectance
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance
Hang Zhang
Kristin J. Dana
Ko Nishino
12
24
0
25 Mar 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
13
382
0
28 Dec 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
27
129
0
20 Nov 2015
Integrating Deep Features for Material Recognition
Integrating Deep Features for Material Recognition
Yan Zhang
Mete Ozay
Xing Liu
Takayuki Okatani
14
18
0
20 Nov 2015
Deep Learning for Tactile Understanding From Visual and Haptic Data
Deep Learning for Tactile Understanding From Visual and Haptic Data
Yang Gao
Lisa Anne Hendricks
Katherine J. Kuchenbecker
Trevor Darrell
19
242
0
19 Nov 2015
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit
Balazs Kovacs
Sean Bell
Julian McAuley
Kavita Bala
Serge J. Belongie
13
307
0
24 Sep 2015
Evaluating color texture descriptors under large variations of
  controlled lighting conditions
Evaluating color texture descriptors under large variations of controlled lighting conditions
C. Cusano
Paolo Napoletano
Raimondo Schettini
24
60
0
05 Aug 2015
Deep filter banks for texture recognition, description, and segmentation
Deep filter banks for texture recognition, description, and segmentation
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
Andrea Vedaldi
27
351
0
09 Jul 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
20
979
0
06 Jun 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
59
2,529
0
11 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
25
914
0
09 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
33
4,868
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
162
99,651
0
04 Sep 2014
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