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Caffe: Convolutional Architecture for Fast Feature Embedding

Caffe: Convolutional Architecture for Fast Feature Embedding

20 June 2014
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
    VLM
    BDL
    3DV
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Papers citing "Caffe: Convolutional Architecture for Fast Feature Embedding"

50 / 1,543 papers shown
Title
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
41
596
0
05 May 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
46
232
0
04 May 2015
Sequence to Sequence -- Video to Text
Sequence to Sequence -- Video to Text
Subhashini Venugopalan
Marcus Rohrbach
Jeff Donahue
Raymond J. Mooney
Trevor Darrell
Kate Saenko
57
1,416
0
03 May 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
90
5,383
0
03 May 2015
Learning Temporal Embeddings for Complex Video Analysis
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
34
71
0
02 May 2015
Object-Scene Convolutional Neural Networks for Event Recognition in
  Images
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang
Zhe Wang
Wenbin Du
Yu Qiao
32
66
0
02 May 2015
Dense Optical Flow Prediction from a Static Image
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
40
210
0
02 May 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe-nan Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
37
123
0
01 May 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
16
1,753
0
01 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
32
137
0
30 Apr 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
130
24,842
0
30 Apr 2015
Anticipating Visual Representations from Unlabeled Video
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
24
145
0
29 Apr 2015
Becoming the Expert - Interactive Multi-Class Machine Teaching
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns
Oisin Mac Aodha
Gabriel J. Brostow
23
75
0
28 Apr 2015
Compact CNN for Indexing Egocentric Videos
Compact CNN for Indexing Egocentric Videos
Y. Poleg
Ariel Ephrat
Shmuel Peleg
Chetan Arora
EgoV
19
103
0
28 Apr 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
50
4,147
0
26 Apr 2015
Object Level Deep Feature Pooling for Compact Image Representation
Object Level Deep Feature Pooling for Compact Image Representation
Konda Reddy Mopuri
R. Venkatesh Babu
32
65
0
24 Apr 2015
Situational Object Boundary Detection
Situational Object Boundary Detection
J. Uijlings
V. Ferrari
27
29
0
24 Apr 2015
Convolutional Neural Network-Based Image Representation for Visual Loop
  Closure Detection
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
Yi Hou
Hong Zhang
Shilin Zhou
23
167
0
20 Apr 2015
Exploiting Local Features from Deep Networks for Image Retrieval
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei Ng
Fan Yang
L. Davis
FAtt
39
412
0
20 Apr 2015
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets
S. Shankar
Vikas K. Garg
R. Cipolla
17
60
0
19 Apr 2015
Visual Recognition Using Directional Distribution Distance
Visual Recognition Using Directional Distribution Distance
Jianxin Wu
Bin-Bin Gao
Guoqing Liu
34
5
0
19 Apr 2015
Color Constancy Using CNNs
Color Constancy Using CNNs
Simone Bianco
C. Cusano
Raimondo Schettini
3DV
19
199
0
17 Apr 2015
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning
Stefan Hadjis
Firas Abuzaid
Ce Zhang
Christopher Ré
BDL
20
71
0
16 Apr 2015
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust
  Invariant Object Recognition
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ganjtabesh
T. Masquelier
OOD
9
120
0
15 Apr 2015
Predicting Complete 3D Models of Indoor Scenes
Predicting Complete 3D Models of Indoor Scenes
Ruiqi Guo
Chuhang Zou
Derek Hoiem
3DV
25
57
0
09 Apr 2015
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Si Liu
Xiaodan Liang
Luoqi Liu
Xiaohui Shen
Jianchao Yang
Changsheng Xu
Liang Lin
Xiaochun Cao
Shuicheng Yan
3DH
60
168
0
06 Apr 2015
Visual Saliency Based on Multiscale Deep Features
Visual Saliency Based on Multiscale Deep Features
Guanbin Li
Yizhou Yu
FAtt
24
1,221
0
30 Mar 2015
CRF Learning with CNN Features for Image Segmentation
CRF Learning with CNN Features for Image Segmentation
Fayao Liu
Guosheng Lin
Chunhua Shen
SSeg
26
206
0
28 Mar 2015
Learning Hypergraph-regularized Attribute Predictors
Learning Hypergraph-regularized Attribute Predictors
Sheng Huang
Mohamed Elhoseiny
Ahmed Elgammal
Dan Yang
TPM
38
119
0
19 Mar 2015
3D Object Class Detection in the Wild
3D Object Class Detection in the Wild
Bojan Pepik
Michael Stark
Peter V. Gehler
Tobias Ritschel
Bernt Schiele
3DPC
23
35
0
17 Mar 2015
The YLI-MED Corpus: Characteristics, Procedures, and Plans
The YLI-MED Corpus: Characteristics, Procedures, and Plans
Julia Bernd
Damian Borth
Benjamin Elizalde
Gerald Friedland
Heather Gallagher
L. Gottlieb
Adam L. Janin
Sara Karabashlieva
J. Takahashi
Jennifer Won
MedIm
24
25
0
13 Mar 2015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and
  Vision
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
J. Malmaud
Jonathan Huang
V. Rathod
Nick Johnston
Andrew Rabinovich
Kevin Patrick Murphy
33
152
0
05 Mar 2015
Weakly Supervised Object Localization with Multi-fold Multiple Instance
  Learning
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
WSOD
SSL
31
430
0
03 Mar 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
61
1,062
0
27 Feb 2015
Online Tracking by Learning Discriminative Saliency Map with
  Convolutional Neural Network
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong
Tackgeun You
Suha Kwak
Bohyung Han
32
825
0
24 Feb 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
75
2,751
0
20 Feb 2015
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks
Aalok Gangopadhyay
Shivam Mani Tripathi
Ishan Jindal
Shanmuganathan Raman
32
20
0
17 Feb 2015
An exploration of parameter redundancy in deep networks with circulant
  projections
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
41
49
0
11 Feb 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
46
5,146
0
10 Feb 2015
Multi-view Face Detection Using Deep Convolutional Neural Networks
Multi-view Face Detection Using Deep Convolutional Neural Networks
S. Farfade
M. Saberian
Li-Jia Li
CVBM
34
577
0
10 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,467
0
06 Feb 2015
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
Jimmy S. J. Ren
Li Xu
MQ
38
83
0
29 Jan 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
34
350
0
23 Jan 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
69
7,998
0
31 Dec 2014
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Nicolas Vasilache
Jeff Johnson
Michaël Mathieu
Soumith Chintala
Serkan Piantino
Yann LeCun
23
346
0
24 Dec 2014
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
Contour Detection Using Cost-Sensitive Convolutional Neural Networks
Contour Detection Using Cost-Sensitive Convolutional Neural Networks
Jyh-Jing Hwang
Tyng-Luh Liu
24
3
0
22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
50
473
0
21 Dec 2014
Permutohedral Lattice CNNs
Permutohedral Lattice CNNs
Martin Kiefel
Varun Jampani
Peter V. Gehler
29
33
0
20 Dec 2014
Automatic Discovery and Optimization of Parts for Image Classification
Automatic Discovery and Optimization of Parts for Image Classification
S. N. Parizi
Andrea Vedaldi
Andrew Zisserman
Pedro F. Felzenszwalb
OCL
28
59
0
20 Dec 2014
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