ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.5403
  4. Cited By
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"

43 / 43 papers shown
Title
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
41
3
0
15 Jul 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
37
0
0
18 Mar 2024
Deep MDP: A Modular Framework for Multi-Object Tracking
Deep MDP: A Modular Framework for Multi-Object Tracking
Abhineet Singh
VOT
28
0
0
22 Oct 2023
CoTracker: It is Better to Track Together
CoTracker: It is Better to Track Together
Nikita Karaev
Ignacio Rocco
Benjamin Graham
Natalia Neverova
Andrea Vedaldi
Christian Rupprecht
VOT
ViT
51
246
0
14 Jul 2023
Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey
Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey
Apoorv Singh
Varun Bankiti
3DPC
23
24
0
13 Feb 2023
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable
  Prototypes
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jonathan Donnelly
A. Barnett
Chaofan Chen
3DH
27
127
0
29 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
71
279
0
11 Nov 2021
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many
  Localisations
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations
Andreas Panteli
Jonas Teuwen
H. Horlings
E. Gavves
21
3
0
21 Apr 2021
Improving Weakly-supervised Object Localization via Causal Intervention
Improving Weakly-supervised Object Localization via Causal Intervention
Feifei Shao
Yawei Luo
Li Zhang
Lu Ye
Siliang Tang
Yi Yang
Jun Xiao
WSOL
24
25
0
21 Apr 2021
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Salman Khan
Fabio Cuzzolin
3DPC
51
5
0
16 Apr 2021
Causal Intervention for Weakly-Supervised Semantic Segmentation
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang
Hanwang Zhang
Jinhui Tang
Xiansheng Hua
Qianru Sun
CML
ISeg
21
444
0
26 Sep 2020
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer
  Feature Extraction and Deformable Occlusion Handling
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
Tianrui Liu
Wenhan Luo
Lin Ma
Jun-Jie Huang
Tania Stathaki
Tianhong Dai
16
35
0
18 Dec 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
S. Hoi
VLM
ObjD
32
798
0
10 Aug 2019
CDPM: Convolutional Deformable Part Models for Semantically Aligned
  Person Re-identification
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification
Kan Wang
Changxing Ding
Stephen J. Maybank
Dacheng Tao
24
28
0
12 Jun 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
32
2,285
0
13 May 2019
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Xiaojie Li
L. Yang
Q. Song
Fuqiang Zhou
CVBM
3DH
18
16
0
19 Feb 2019
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
B. 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-Nan Wang
Minhyuk Sung
Leonidas J. Guibas
3DPC
23
322
0
08 Dec 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
18
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
70
2,419
0
06 Sep 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
25
200
0
28 Mar 2018
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
18
290
0
21 Sep 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
30
5,252
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
16
640
0
24 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
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
24
18
0
20 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
29
512
0
04 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 H. S. Torr
OffRL
27
69
0
01 Dec 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
212
0
04 Nov 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
43
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
9
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
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
22
97
0
09 May 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
478
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
6
252
0
30 Mar 2016
Recognizing Car Fluents from Video
Recognizing Car Fluents from Video
Bo Li
Tianfu Wu
Caiming Xiong
Song-Chun Zhu
21
53
0
26 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
6
94
0
15 Mar 2016
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
63
1,776
0
02 Mar 2016
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
19
302
0
31 Oct 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
29
123
0
01 May 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
X. Zhang
Jian-jun Sun
ObjD
14
407
0
23 Apr 2015
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object
  Detection
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang
Xiaogang Wang
Xingyu Zeng
Shi Qiu
Ping Luo
...
Hongsheng Li
Shuo Yang
Zhe Wang
Chen Change Loy
Xiaoou Tang
ObjD
29
436
0
17 Dec 2014
End-to-End Integration of a Convolutional Network, Deformable Parts
  Model and Non-Maximum Suppression
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan
David Eigen
Rob Fergus
21
99
0
19 Nov 2014
1