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Deformable Part Models are Convolutional Neural Networks

Deformable Part Models are Convolutional Neural Networks

18 September 2014
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
ArXivPDFHTML

Papers citing "Deformable Part Models are Convolutional Neural Networks"

50 / 125 papers shown
Title
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
Bin Luo
CVBM
28
127
0
22 Jan 2019
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in
  Point Cloud
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
L. Yi
Wang Zhao
He Wang
Minhyuk Sung
Leonidas J. Guibas
3DPC
37
322
0
08 Dec 2018
Parsing R-CNN for Instance-Level Human Analysis
Parsing R-CNN for Instance-Level Human Analysis
Lu Yang
Q. Song
Zhihui Wang
Ming Jiang
SSeg
56
122
0
30 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
77
2,427
0
06 Sep 2018
Deformable Part Networks
Deformable Part Networks
Ziming Zhang
Rongmei Lin
Alan Sullivan
3DPC
11
1
0
22 May 2018
Pose2Seg: Detection Free Human Instance Segmentation
Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang
Ruilong Li
Xin Dong
Paul L. Rosin
Zixi Cai
Xi Han
Dingcheng Yang
Haozhi Huang
Shimin Hu
SSeg
30
201
0
28 Mar 2018
Object Captioning and Retrieval with Natural Language
Object Captioning and Retrieval with Natural Language
A. Nguyen
Thanh-Toan Do
Ian Reid
D. Caldwell
Nikos G. Tsagarakis
3DV
30
18
0
16 Mar 2018
Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint
  Domain Knowledge
Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge
Dinh-Luan Nguyen
Kai Cao
Anil K. Jain
16
83
0
26 Dec 2017
AffordanceNet: An End-to-End Deep Learning Approach for Object
  Affordance Detection
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
Thanh-Toan Do
A. Nguyen
Ian Reid
20
292
0
21 Sep 2017
Classification of Radiology Reports Using Neural Attention Models
Classification of Radiology Reports Using Neural Attention Models
Bonggun Shin
F. Chokshi
Timothy Lee
Jinho Choi
44
48
0
22 Aug 2017
When Kernel Methods meet Feature Learning: Log-Covariance Network for
  Action Recognition from Skeletal Data
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data
Jacopo Cavazza
Pietro Morerio
Vittorio Murino
21
10
0
03 Aug 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Deformable Part-based Fully Convolutional Network for Object Detection
Deformable Part-based Fully Convolutional Network for Object Detection
Taylor Mordan
Nicolas Thome
Matthieu Cord
Gilles Hénaff
ObjD
18
15
0
19 Jul 2017
A spatiotemporal model with visual attention for video classification
A spatiotemporal model with visual attention for video classification
Mo Shan
Nikolay Atanasov
16
8
0
07 Jul 2017
Learning Spatial-Aware Regressions for Visual Tracking
Learning Spatial-Aware Regressions for Visual Tracking
Chong Sun
Dong Wang
Huchuan Lu
Ming-Hsuan Yang
26
196
0
22 Jun 2017
Recovering 6D Object Pose: A Review and Multi-modal Analysis
Recovering 6D Object Pose: A Review and Multi-modal Analysis
Caner Sahin
Tae-Kyun Kim
8
1
0
10 Jun 2017
Tracking the Trackers: An Analysis of the State of the Art in Multiple
  Object Tracking
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking
Laura Leal-Taixé
Anton Milan
Konrad Schindler
Daniel Cremers
Ian Reid
Stefan Roth
VOT
11
123
0
10 Apr 2017
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in
  Videos
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
Mingli Song
Limin Wang
Luc Van Gool
Otmar Hilliges
3DH
15
128
0
31 Mar 2017
Weakly Supervised Object Localization Using Things and Stuff Transfer
Weakly Supervised Object Localization Using Things and Stuff Transfer
Miaojing Shi
Holger Caesar
V. Ferrari
16
74
0
23 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
54
26,884
0
20 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
98
5,262
0
17 Mar 2017
Multi-Context Attention for Human Pose Estimation
Multi-Context Attention for Human Pose Estimation
Xiao Chu
Wei Yang
Wanli Ouyang
Cheng Ma
Alan Yuille
Xiaogang Wang
3DH
36
640
0
24 Feb 2017
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
Yikang Li
Wanli Ouyang
Xiaogang Wang
Xiaoóu Tang
ObjD
30
48
0
23 Feb 2017
From Virtual to Real World Visual Perception using Domain Adaptation --
  The DPM as Example
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Antonio M. López
Jiaolong Xu
J. L. Gómez
David Vazquez
G. Ros
22
11
0
29 Dec 2016
FastMask: Segment Multi-scale Object Candidates in One Shot
FastMask: Segment Multi-scale Object Candidates in One Shot
Hexiang Hu
Shiyi Lan
Yuning Jiang
Zhimin Cao
Fei Sha
SSeg
3DPC
16
28
0
28 Dec 2016
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming Liu
Joschka Boedecker
Wolfram Burgard
OffRL
14
78
0
21 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
Tinkering Under the Hood: Interactive Zero-Shot Learning with Net
  Surgery
Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery
V. Krishnan
Deva Ramanan
18
7
0
15 Dec 2016
Joint Hand Detection and Rotation Estimation by Using CNN
Joint Hand Detection and Rotation Estimation by Using CNN
Xiaoming Deng
Ye Yuan
Yinda Zhang
P. Tan
Liang Chang
Shuo Yang
Hongan Wang
21
73
0
08 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
44
512
0
04 Dec 2016
Object Detection via Aspect Ratio and Context Aware Region-based
  Convolutional Networks
Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks
Bo Li
Tianfu Wu
Shuai Shao
Lun Zhang
Rufeng Chu
ObjD
11
5
0
02 Dec 2016
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
Shehroze Bhatti
Alban Desmaison
O. Mikšík
Nantas Nardelli
N. Siddharth
Philip Torr
OffRL
35
69
0
01 Dec 2016
A Metaprogramming and Autotuning Framework for Deploying Deep Learning
  Applications
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications
Matthew W. Moskewicz
Ali Jannesari
Kurt Keutzer
15
4
0
21 Nov 2016
Associative Embedding: End-to-End Learning for Joint Detection and
  Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell
Zhiao Huang
Jia Deng
48
919
0
16 Nov 2016
UMDFaces: An Annotated Face Dataset for Training Deep Networks
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Ankan Bansal
Anirudh Nanduri
Carlos D. Castillo
Rajeev Ranjan
Rama Chellappa
CVBM
3DH
36
214
0
04 Nov 2016
Crafting GBD-Net for Object Detection
Crafting GBD-Net for Object Detection
Xingyu Zeng
Wanli Ouyang
Junjie Yan
Hongsheng Li
Tong Xiao
...
Yucong Zhou
Binh Yang
Zhe Wang
Hui Zhou
Xiaogang Wang
ObjD
24
138
0
08 Oct 2016
Grid Loss: Detecting Occluded Faces
Grid Loss: Detecting Occluded Faces
M. Opitz
Georg Waltner
Georg Poier
Horst Possegger
Horst Bischof
CVBM
41
76
0
01 Sep 2016
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face
  Recognition
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition
Changxing Ding
Dacheng Tao
CVBM
50
387
0
19 Jul 2016
Boda-RTC: Productive Generation of Portable, Efficient Code for
  Convolutional Neural Networks on Mobile Computing Platforms
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Matthew W. Moskewicz
F. Iandola
Kurt Keutzer
14
8
0
01 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
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
18
264
0
20 May 2016
Unconstrained Still/Video-Based Face Verification with Deep
  Convolutional Neural Networks
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen
Rajeev Ranjan
Swami Sankaranarayanan
Amit Kumar
Ching-Hui Chen
Vishal M. Patel
Carlos D. Castillo
Rama Chellappa
CVBM
32
97
0
09 May 2016
Track and Transfer: Watching Videos to Simulate Strong Human Supervision
  for Weakly-Supervised Object Detection
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
Krishna Kumar Singh
Fanyi Xiao
Yong Jae Lee
9
67
0
19 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
27
477
0
09 Apr 2016
Structured Feature Learning for Pose Estimation
Structured Feature Learning for Pose Estimation
Xiao Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
3DH
17
252
0
30 Mar 2016
Instance-sensitive Fully Convolutional Networks
Instance-sensitive Fully Convolutional Networks
Jifeng Dai
Kaiming He
Yi Li
Shaoqing Ren
Jian Sun
SSeg
28
397
0
29 Mar 2016
Recognizing Car Fluents from Video
Recognizing Car Fluents from Video
Bo Li
Tianfu Wu
Caiming Xiong
Song-Chun Zhu
23
53
0
26 Mar 2016
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Hongteng Xu
Junchi Yan
Nils Persson
Weiyao Lin
H. Zha
13
17
0
19 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
14
94
0
15 Mar 2016
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