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

50 / 13,411 papers shown
Title
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
35
411
0
04 Jul 2015
Deep CNN Ensemble with Data Augmentation for Object Detection
Deep CNN Ensemble with Data Augmentation for Object Detection
Jian Guo
Stephen Gould
ObjD
34
61
0
24 Jun 2015
R-CNN minus R
R-CNN minus R
Karel Lenc
Andrea Vedaldi
ObjD
34
94
0
23 Jun 2015
Skip-Thought Vectors
Skip-Thought Vectors
Ryan Kiros
Yukun Zhu
Ruslan Salakhutdinov
R. Zemel
Antonio Torralba
R. Urtasun
Sanja Fidler
SSL
54
2,403
0
22 Jun 2015
Mining Mid-level Visual Patterns with Deep CNN Activations
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
35
54
0
21 Jun 2015
Aligning where to see and what to tell: image caption with region-based
  attention and scene factorization
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
Junqi Jin
Kun Fu
Runpeng Cui
Fei Sha
Changshui Zhang
34
117
0
20 Jun 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
44
337
0
16 Jun 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
26
143
0
15 Jun 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural Networks
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
26
139
0
14 Jun 2015
Deep Structured Models For Group Activity Recognition
Deep Structured Models For Group Activity Recognition
Zhiwei Deng
Mengyao Zhai
Lei Chen
Yuhao Liu
S. Muralidharan
M. J. Roshtkhari
Greg Mori
BDL
28
97
0
12 Jun 2015
Learning language through pictures
Learning language through pictures
Grzegorz Chrupała
Ákos Kádár
Afra Alishahi
VLM
SSL
35
65
0
11 Jun 2015
Learning to Select Pre-Trained Deep Representations with Bayesian
  Evidence Framework
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim
Taewoong Jang
Bohyung Han
Seungjin Choi
BDL
36
14
0
08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
46
448
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffM
BDL
24
258
0
08 Jun 2015
Learning Multiple Tasks with Multilinear Relationship Networks
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Philip S. Yu
37
98
0
06 Jun 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin
Chunhua Shen
Ian Reid
Anton Van Den Hengel
3DV
47
63
0
06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
231
61,624
0
04 Jun 2015
What value do explicit high level concepts have in vision to language
  problems?
What value do explicit high level concepts have in vision to language problems?
Qi Wu
Chunhua Shen
Lingqiao Liu
A. Dick
Anton Van Den Hengel
33
443
0
03 Jun 2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual
  Descriptions
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba
Kevin Swersky
Sanja Fidler
Ruslan Salakhutdinov
VLM
43
435
0
01 Jun 2015
Learning to Answer Questions From Image Using Convolutional Neural
  Network
Learning to Answer Questions From Image Using Convolutional Neural Network
Lin Ma
Zhengdong Lu
Hang Li
27
261
0
01 Jun 2015
Visual Madlibs: Fill in the blank Image Generation and Question
  Answering
Visual Madlibs: Fill in the blank Image Generation and Question Answering
Licheng Yu
Eunbyung Park
Alexander C. Berg
Tamara L. Berg
VLM
MLLM
40
97
0
31 May 2015
Visual Search at Pinterest
Visual Search at Pinterest
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
25
147
0
28 May 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
792
0
27 May 2015
A Multi-scale Multiple Instance Video Description Network
A Multi-scale Multiple Instance Video Description Network
Huijuan Xu
Subhashini Venugopalan
Vasili Ramanishka
Marcus Rohrbach
Kate Saenko
40
64
0
21 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
32
497
0
21 May 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNs
Songfan Yang
Deva Ramanan
BDL
30
204
0
20 May 2015
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang
Yu Qiao
Xiaoou Tang
44
1,156
0
19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
447
76,039
0
18 May 2015
Exploring Nearest Neighbor Approaches for Image Captioning
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin
Saurabh Gupta
Ross B. Girshick
Margaret Mitchell
C. L. Zitnick
27
195
0
17 May 2015
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Ziyu Zhang
Alex Schwing
Sanja Fidler
R. Urtasun
31
158
0
12 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
30
184
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
41
535
0
07 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
32
281
0
07 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjD
SSeg
33
735
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
44
370
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
20
401
0
05 May 2015
Deep Learning for Object Saliency Detection and Image Segmentation
Deep Learning for Object Saliency Detection and Image Segmentation
H. Pan
Bo Wang
Hui Jiang
38
18
0
05 May 2015
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
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
68
3,200
0
05 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
96
5,389
0
03 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
71
1,761
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
40
66
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 Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
37
123
0
01 May 2015
Pose Induction for Novel Object Categories
Pose Induction for Novel Object Categories
Shubham Tulsiani
João Carreira
Jitendra Malik
34
35
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
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
47
187
0
30 Apr 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with
  Convolutional Networks
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
Marcel Simon
E. Rodner
39
412
0
30 Apr 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
187
24,868
0
30 Apr 2015
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