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Return of the Devil in the Details: Delving Deep into Convolutional Nets

Return of the Devil in the Details: Delving Deep into Convolutional Nets

14 May 2014
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
    FAtt
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Papers citing "Return of the Devil in the Details: Delving Deep into Convolutional Nets"

50 / 558 papers shown
Title
Leveraging Structural Context Models and Ranking Score Fusion for Human
  Interaction Prediction
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
Qiuhong Ke
Bennamoun
Senjian An
F. Boussaïd
Ferdous Sohel
22
38
0
18 Aug 2016
Visual place recognition using landmark distribution descriptors
Visual place recognition using landmark distribution descriptors
Pilailuck Panphattarasap
Andrew Calway
6
34
0
15 Aug 2016
Detecting Dominant Vanishing Points in Natural Scenes with Application
  to Composition-Sensitive Image Retrieval
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
Zihan Zhou
F. Farhat
Jianmin Wang
15
46
0
15 Aug 2016
Parking Stall Vacancy Indicator System Based on Deep Convolutional
  Neural Networks
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks
Sepehr Valipour
Mennatullah Siam
Eleni Stroulia
Martin Jägersand
14
83
0
30 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
26
732
0
27 Jun 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDL
UQCV
OOD
28
176
0
24 Jun 2016
Multiclass feature learning for hyperspectral image classification:
  sparse and hierarchical solutions
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions
D. Tuia
Rémi Flamary
Nicolas Courty
14
101
0
23 Jun 2016
Integrated perception with recurrent multi-task neural networks
Integrated perception with recurrent multi-task neural networks
Hakan Bilen
Andrea Vedaldi
ObjD
27
93
0
06 Jun 2016
Deep Recurrent Convolutional Networks for Video-based Person
  Re-identification: An End-to-End Approach
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
Lin Wu
Chunhua Shen
Anton Van Den Hengel
35
66
0
06 Jun 2016
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li
Benyuan Sun
Tianfu Wu
Yizhou Wang
CVBM
3DH
24
129
0
02 Jun 2016
Pairwise Decomposition of Image Sequences for Active Multi-View
  Recognition
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns
Stefan Leutenegger
Andrew J. Davison
14
225
0
26 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
33
116
0
24 May 2016
Depth from a Single Image by Harmonizing Overcomplete Local Network
  Predictions
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti
Jingyu Shao
Gregory Shakhnarovich
MDE
30
116
0
23 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Going Deeper into First-Person Activity Recognition
Going Deeper into First-Person Activity Recognition
Minghuang Ma
Haoqi Fan
Kris Kitani
EgoV
31
307
0
12 May 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
26
66
0
11 May 2016
Deep Neural Networks Under Stress
Deep Neural Networks Under Stress
Micael Carvalho
Matthieu Cord
Sandra Avila
Nicolas Thome
Eduardo Valle
28
14
0
11 May 2016
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large
  Scale Databases
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases
Simone Ercoli
Marco Bertini
A. Bimbo
26
38
0
10 May 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
33
45
0
30 Apr 2016
Actionness Estimation Using Hybrid Fully Convolutional Networks
Actionness Estimation Using Hybrid Fully Convolutional Networks
Limin Wang
Yu Qiao
Xiaoou Tang
Luc Van Gool
16
98
0
25 Apr 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
36
2,605
0
22 Apr 2016
Improving Human Action Recognition by Non-action Classification
Improving Human Action Recognition by Non-action Classification
Yanjie Wang
Minh Hoai
15
26
0
21 Apr 2016
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees
Amir Zamir
Yu-Gang Jiang
Alexander N. Gorban
Ivan Laptev
Rahul Sukthankar
M. Shah
43
756
0
21 Apr 2016
Automatic Graphic Logo Detection via Fast Region-based Convolutional
  Networks
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Gonçalo Oliveira
Xavier Frazão
A. Pimentel
B. Ribeiro
35
44
0
20 Apr 2016
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
Angjoo Kanazawa
David Jacobs
Manmohan Chandraker
14
160
0
19 Apr 2016
Understanding How Image Quality Affects Deep Neural Networks
Understanding How Image Quality Affects Deep Neural Networks
Samuel F. Dodge
Lina Karam
VLM
26
723
0
14 Apr 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
78
2,400
0
12 Apr 2016
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment
  Prediction
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
19
187
0
12 Apr 2016
Recurrent Attentional Networks for Saliency Detection
Recurrent Attentional Networks for Saliency Detection
Jason Kuen
Zhenhua Wang
G. Wang
18
238
0
12 Apr 2016
Real-Time Facial Segmentation and Performance Capture from RGB Input
Real-Time Facial Segmentation and Performance Capture from RGB Input
Shunsuke Saito
Tianye Li
Hao Li
3DH
CVBM
9
132
0
10 Apr 2016
Free-Space Detection with Self-Supervised and Online Trained Fully
  Convolutional Networks
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks
Willem P. Sanberg
Gijs Dubbelman
Peter H. N. de With
11
26
0
08 Apr 2016
GIFT: A Real-time and Scalable 3D Shape Search Engine
GIFT: A Real-time and Scalable 3D Shape Search Engine
S. Bai
X. Bai
Zhichao Zhou
Zhaoxiang Zhang
Longin Jan Latecki
9
280
0
07 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
18
55
0
06 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
28
66
0
28 Mar 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
22
16
0
25 Mar 2016
Do We Really Need to Collect Millions of Faces for Effective Face
  Recognition?
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
I. Masi
A. Tran
J. Leksut
Tal Hassner
Gérard Medioni
CVBM
30
366
0
23 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
14
942
0
10 Mar 2016
Shallow and Deep Convolutional Networks for Saliency Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan
Kevin McGuinness
E. Sayrol
Noel E. O'Connor
Xavier Giró-i-Nieto
FAtt
19
467
0
02 Mar 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
22
734
0
02 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
14
73
0
01 Mar 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Compositional Model based Fisher Vector Coding for Image Classification
Compositional Model based Fisher Vector Coding for Image Classification
Lingqiao Liu
Peng Wang
Chunhua Shen
Lei Wang
Anton Van Den Hengel
Chao Wang
Heng Tao Shen
43
53
0
16 Jan 2016
Automatic Description Generation from Images: A Survey of Models,
  Datasets, and Evaluation Measures
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi
Ruken Cakici
Desmond Elliott
Aykut Erdem
Erkut Erdem
Nazli Ikizler-Cinbis
Frank Keller
A. Muscat
Barbara Plank
EGVM
VLM
27
363
0
15 Jan 2016
A Deep Generative Deconvolutional Image Model
A Deep Generative Deconvolutional Image Model
Yunchen Pu
Xin Yuan
Andrew Stevens
Chunyuan Li
Lawrence Carin
BDL
VLM
16
44
0
23 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,205
0
14 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
35
198
0
01 Dec 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
34
456
0
23 Nov 2015
Images Don't Lie: Transferring Deep Visual Semantic Features to
  Large-Scale Multimodal Learning to Rank
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
Corey Lynch
Kamelia Aryafar
Josh Attenberg
26
45
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
40
27
0
20 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
44
810
0
19 Nov 2015
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