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Very Deep Convolutional Networks for Large-Scale Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAtt
    MDE
ArXivPDFHTML

Papers citing "Very Deep Convolutional Networks for Large-Scale Image Recognition"

50 / 13,190 papers shown
Title
Tutorial on Answering Questions about Images with Deep Learning
Tutorial on Answering Questions about Images with Deep Learning
Mateusz Malinowski
Mario Fritz
VLM
37
3
0
04 Oct 2016
Image Aesthetic Assessment: An Experimental Survey
Image Aesthetic Assessment: An Experimental Survey
Yubin Deng
Chen Change Loy
Xiaoou Tang
26
261
0
04 Oct 2016
Prediction of Manipulation Actions
Prediction of Manipulation Actions
Cornelia Fermuller
Fang Wang
Yezhou Yang
Konstantinos Zampogiannis
Yi Zhang
Francisco Barranco
Michael Pfeiffer
24
51
0
03 Oct 2016
One-Trial Correction of Legacy AI Systems and Stochastic Separation
  Theorems
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
Alexander N. Gorban
I. Romanenko
Richard Burton
I. Tyukin
35
29
0
03 Oct 2016
Accelerating Deep Convolutional Networks using low-precision and
  sparsity
Accelerating Deep Convolutional Networks using low-precision and sparsity
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
36
135
0
02 Oct 2016
Very Deep Convolutional Neural Networks for Robust Speech Recognition
Very Deep Convolutional Neural Networks for Robust Speech Recognition
Y. Qian
P. Woodland
21
81
0
02 Oct 2016
How Transferable are CNN-based Features for Age and Gender
  Classification?
How Transferable are CNN-based Features for Age and Gender Classification?
Gökhan Özbulak
Y. Aytar
H. K. Ekenel
CVBM
21
105
0
01 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
22
342
0
01 Oct 2016
A deep representation for depth images from synthetic data
A deep representation for depth images from synthetic data
Fabio Maria Carlucci
P. Russo
Barbara Caputo
MDE
3DV
14
34
0
30 Sep 2016
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
R. Dicecco
Griffin Lacey
Jasmina Vasiljevic
P. Chow
Graham W. Taylor
S. Areibi
21
92
0
30 Sep 2016
A CNN Cascade for Landmark Guided Semantic Part Segmentation
A CNN Cascade for Landmark Guided Semantic Part Segmentation
Aaron S. Jackson
M. Valstar
Georgios Tzimiropoulos
SSeg
24
48
0
30 Sep 2016
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the
  Amazon Picking Challenge
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng
Kuan-Ting Yu
Shuran Song
Daniel Suo
Ed Walker
Alberto Rodriguez
Jianxiong Xiao
SSL
19
458
0
29 Sep 2016
Classifier comparison using precision
Classifier comparison using precision
Lovedeep Gondara
9
3
0
29 Sep 2016
CNN Architectures for Large-Scale Audio Classification
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
D. Ellis
J. Gemmeke
A. Jansen
...
Rif A. Saurous
Bryan Seybold
M. Slaney
Ron J. Weiss
K. Wilson
59
2,473
0
29 Sep 2016
Pano2CAD: Room Layout From A Single Panorama Image
Pano2CAD: Room Layout From A Single Panorama Image
Jiu Xu
B. Stenger
Tommi Kerola
Tony Tung
3DV
24
63
0
29 Sep 2016
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT
  Imaging
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
P. Ypsilantis
Giovanni Montana
MedIm
16
31
0
28 Sep 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
45
746
0
28 Sep 2016
Understanding data augmentation for classification: when to warp?
Understanding data augmentation for classification: when to warp?
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
30
898
0
28 Sep 2016
Video Summarization using Deep Semantic Features
Video Summarization using Deep Semantic Features
Mayu Otani
Yuta Nakashima
Esa Rahtu
J. Heikkilä
N. Yokoya
19
112
0
28 Sep 2016
Learning Language-Visual Embedding for Movie Understanding with
  Natural-Language
Learning Language-Visual Embedding for Movie Understanding with Natural-Language
Atousa Torabi
Niket Tandon
Leonid Sigal
22
97
0
26 Sep 2016
Optimistic and Pessimistic Neural Networks for Scene and Object
  Recognition
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
René Grzeszick
Sebastian Sudholt
G. Fink
UQCV
36
4
0
26 Sep 2016
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and
  Signer Adaptation
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation
Taehwan Kim
J. Keane
Weiran Wang
Hao Tang
Jason Riggle
Gregory Shakhnarovich
D. Brentari
Karen Livescu
33
51
0
26 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
603
0
22 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
54
1,846
0
22 Sep 2016
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
55
97
0
22 Sep 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
32
384
0
22 Sep 2016
How should we evaluate supervised hashing?
How should we evaluate supervised hashing?
Alexandre Sablayrolles
Matthijs Douze
Hervé Jégou
Nicolas Usunier
28
89
0
21 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
212
58
0
21 Sep 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
521
0
21 Sep 2016
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question
  Answering (FSVQA)
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA)
Andrew Shin
Yoshitaka Ushiku
Tatsuya Harada
52
14
0
21 Sep 2016
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression
  Recognition
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding
S. Kevin Zhou
Rama Chellappa
CVBM
39
363
0
21 Sep 2016
Production-Level Facial Performance Capture Using Deep Convolutional
  Neural Networks
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
S. Laine
Tero Karras
Timo Aila
Antti Herva
Shunsuke Saito
Ronald Yu
Hao Li
J. Lehtinen
CVBM
3DH
35
101
0
21 Sep 2016
Fast Single Shot Detection and Pose Estimation
Fast Single Shot Detection and Pose Estimation
Patrick Poirson
Phil Ammirato
Cheng-Yang Fu
Wei Liu
Jana Kosecka
Alexander C. Berg
3DPC
27
111
0
19 Sep 2016
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for
  Multimodal Information Fusion
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
Ankit Gandhi
Arjun Sharma
Arijit Biswas
Om Deshmukh
AI4TS
21
12
0
17 Sep 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,181
0
16 Sep 2016
Visual Stability Prediction and Its Application to Manipulation
Visual Stability Prediction and Its Application to Manipulation
Wenbin Li
A. Leonardis
Mario Fritz
32
37
0
15 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
102
10,608
0
15 Sep 2016
Multimodal Attention for Neural Machine Translation
Multimodal Attention for Neural Machine Translation
Ozan Caglayan
Loïc Barrault
Fethi Bougares
34
75
0
13 Sep 2016
Crafting a multi-task CNN for viewpoint estimation
Crafting a multi-task CNN for viewpoint estimation
Francisco Massa
Renaud Marlet
Mathieu Aubry
25
77
0
13 Sep 2016
VIPLFaceNet: An Open Source Deep Face Recognition SDK
VIPLFaceNet: An Open Source Deep Face Recognition SDK
Xin Liu
Meina Kan
Wanglong Wu
Shiguang Shan
Xilin Chen
CVBM
VLM
38
99
0
13 Sep 2016
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for
  Object Skeleton Extraction in Natural Images
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen
Kai Zhao
Yuan Jiang
Yan Wang
X. Bai
Alan Yuille
22
99
0
13 Sep 2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian
Weilin Huang
Tong He
Pan He
Yu Qiao
30
940
0
12 Sep 2016
Fully-Trainable Deep Matching
Fully-Trainable Deep Matching
James Thewlis
Shuai Zheng
Philip Torr
Andrea Vedaldi
3DV
16
42
0
12 Sep 2016
The Microsoft 2016 Conversational Speech Recognition System
The Microsoft 2016 Conversational Speech Recognition System
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
31
289
0
12 Sep 2016
Style-Transfer via Texture-Synthesis
Style-Transfer via Texture-Synthesis
Michael Elad
P. Milanfar
OOD
24
139
0
10 Sep 2016
The Role of Context Selection in Object Detection
The Role of Context Selection in Object Detection
Ruichi Yu
Xi Chen
Vlad I. Morariu
L. Davis
22
42
0
09 Sep 2016
Track Facial Points in Unconstrained Videos
Track Facial Points in Unconstrained Videos
Xi Peng
Qiong Hu
Junzhou Huang
Dimitris N. Metaxas
CVBM
11
6
0
09 Sep 2016
Automated detection of smuggled high-risk security threats using Deep
  Learning
Automated detection of smuggled high-risk security threats using Deep Learning
Nicolas Jaccard
T. W. Rogers
E. Morton
Lewis D. Griffin
24
32
0
09 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
23
52
0
08 Sep 2016
Quantifying Radiographic Knee Osteoarthritis Severity using Deep
  Convolutional Neural Networks
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks
Joseph Antony
Kevin McGuinness
Noel E. O'Connor
Kieran Moran
MedIm
21
249
0
08 Sep 2016
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