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How Far are We from Solving Pedestrian Detection?

How Far are We from Solving Pedestrian Detection?

3 February 2016
Shanshan Zhang
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
ArXivPDFHTML

Papers citing "How Far are We from Solving Pedestrian Detection?"

50 / 107 papers shown
Title
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the
  Wild
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Shifeng Zhang
Yiliang Xie
Jun Wan
Hansheng Xia
Stan Z. Li
G. Guo
22
134
0
25 Sep 2019
Relational Learning for Joint Head and Human Detection
Relational Learning for Joint Head and Human Detection
Cheng Chi
Shifeng Zhang
Junliang Xing
Zhen Lei
Stan Z. Li
Xudong Zou
3DH
19
56
0
24 Sep 2019
Double Anchor R-CNN for Human Detection in a Crowd
Double Anchor R-CNN for Human Detection in a Crowd
Kevin Zhang
Feng Xiong
Pei Sun
Liang Hu
Boxun Li
Gang Yu
27
53
0
22 Sep 2019
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge
  Distillation
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
R. Chen
H. Ai
C. Shang
Long Chen
Zijie Zhuang
19
19
0
20 Sep 2019
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Cheng Chi
Shifeng Zhang
Junliang Xing
Zhen Lei
Stan Z. Li
Xudong Zou
35
103
0
15 Sep 2019
Pedestrian Tracking by Probabilistic Data Association and Correspondence
  Embeddings
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
Borna Bićanić
Marin Orsic
Ivan Marković
Sinisa Segvic
Ivan Petrović
24
5
0
16 Jul 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
34
2,290
0
13 May 2019
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
Olly Styles
Arun Ross
Victor Sanchez
27
35
0
09 May 2019
Generalization ability of region proposal networks for multispectral
  person detection
Generalization ability of region proposal networks for multispectral person detection
Kevin Fritz
D. König
U. Klauck
Michael Teutsch
ObjD
19
15
0
07 May 2019
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Dayan Guan
Xing Luo
Yanpeng Cao
Jiangxin Yang
Yanlong Cao
G. Vosselman
M. Yang
14
18
0
07 Apr 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Songtao Liu
Di Huang
Yunhong Wang
14
280
0
07 Apr 2019
Unsupervised Tracklet Person Re-Identification
Unsupervised Tracklet Person Re-Identification
Minxian Li
Xiatian Zhu
S. Gong
29
171
0
01 Mar 2019
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
Chengju Zhou
Meiqing Wu
S. Lam
41
41
0
25 Feb 2019
Vulnerable road user detection: state-of-the-art and open challenges
Vulnerable road user detection: state-of-the-art and open challenges
Patrick Mannion
19
12
0
10 Feb 2019
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using
  Deep Convolutional Neural Network and Multi-task SegNet
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
H. Nguyen
Tai Nhu Do
In-Seop Na
Soohyung Kim
SSeg
23
10
0
11 Jan 2019
Pedestrian Detection with Autoregressive Network Phases
Pedestrian Detection with Autoregressive Network Phases
Garrick Brazil
Xiaoming Liu
22
72
0
02 Dec 2018
Part-Level Convolutional Neural Networks for Pedestrian Detection Using
  Saliency and Boundary Box Alignment
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
Inyong Yun
Cheolkon Jung
Xinran Wang
Alfred Hero
Joong Kyu Kim
CVBM
16
11
0
01 Oct 2018
Unsupervised Person Re-identification by Deep Learning Tracklet
  Association
Unsupervised Person Re-identification by Deep Learning Tracklet Association
Minxian Li
Xiatian Zhu
S. Gong
19
227
0
08 Sep 2018
Unsupervised Hard Example Mining from Videos for Improved Object
  Detection
Unsupervised Hard Example Mining from Videos for Improved Object Detection
SouYoung Jin
Aruni RoyChowdhury
Huaizu Jiang
Ashish Singh
Aditya Prasad
Deep Chakraborty
Erik Learned-Miller
ObjD
29
63
0
13 Aug 2018
SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian
  Detection
SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection
Tian-Rui Liu
Mohamed Elmikaty
Tania Stathaki
14
12
0
07 Aug 2018
Diagnosing Error in Temporal Action Detectors
Diagnosing Error in Temporal Action Detectors
Humam Alwassel
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
43
106
0
27 Jul 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
42
400
0
23 Jul 2018
Person Search via A Mask-Guided Two-Stream CNN Model
Person Search via A Mask-Guided Two-Stream CNN Model
Di Chen
Shanshan Zhang
Wanli Ouyang
Jian Yang
Ying Tai
33
190
0
21 Jul 2018
Robustness Analysis of Pedestrian Detectors for Surveillance
Robustness Analysis of Pedestrian Detectors for Surveillance
Yuming Fang
Guanqun Ding
Yuan Yuan
Weisi Lin
Haiwen Liu
AAML
15
5
0
12 Jul 2018
Small-scale Pedestrian Detection Based on Somatic Topology Localization
  and Temporal Feature Aggregation
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation
Tao Song
Leiyu Sun
Di Xie
Haiming Sun
Shiliang Pu
24
54
0
04 Jul 2018
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
Markus Braun
Sebastian Krebs
F. Flohr
D. Gavrila
ObjD
24
226
0
18 May 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
225
675
0
30 Apr 2018
FPR -- Fast Path Risk Algorithm to Evaluate Collision Probability
FPR -- Fast Path Risk Algorithm to Evaluate Collision Probability
A. Blake
Alejandro Bordallo
Kamen Brestnichki
Majd Hawasly
Svetlin Penkov
S. Ramamoorthy
Alexandre Silva
30
6
0
15 Apr 2018
PCN: Part and Context Information for Pedestrian Detection with CNNs
PCN: Part and Context Information for Pedestrian Detection with CNNs
Shiguang Wang
Jian Cheng
Haijun Liu
Ming Tang
27
66
0
12 Apr 2018
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and
  Beyond
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
Xi Ouyang
Yu Cheng
Yi Ding
Chun-Liang Li
Pan Zhou
GAN
26
73
0
05 Apr 2018
Exploring Multi-Branch and High-Level Semantic Networks for Improving
  Pedestrian Detection
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
Jiale Cao
Yanwei Pang
Xuelong Li
15
10
0
03 Apr 2018
Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian
  Detection
Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection
Chengyang Li
Dan Song
Ruofeng Tong
Min Tang
ObjD
24
362
0
14 Mar 2018
ViS-HuD: Using Visual Saliency to Improve Human Detection with
  Convolutional Neural Networks
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks
Vandit Gajjar
Yash Khandhediya
Ayesha Gurnani
Viraj Mavani
M. Raval
3DH
23
8
0
21 Feb 2018
Aggregated Channels Network for Real-Time Pedestrian Detection
Aggregated Channels Network for Real-Time Pedestrian Detection
Farzin Ghorban
Javier Marín
Yu Su
A. Colombo
A. Kummert
ObjD
23
13
0
01 Jan 2018
Repulsion Loss: Detecting Pedestrians in a Crowd
Repulsion Loss: Detecting Pedestrians in a Crowd
Xinlong Wang
Tete Xiao
Yuning Jiang
Shuai Shao
Jian Sun
Chunhua Shen
14
498
0
21 Nov 2017
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware
  Localization Policy
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy
Xiaowei Zhang
Li Cheng
Bo Li
Hai-Miao Hu
ObjD
ViT
16
79
0
01 Sep 2017
What Makes a Place? Building Bespoke Place Dependent Object Detectors
  for Robotics
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics
Jeffrey Hawke
Alex Bewley
Ingmar Posner
24
2
0
07 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
Failing to Learn: Autonomously Identifying Perception Failures for
  Self-driving Cars
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
35
104
0
30 Jun 2017
Illuminating Pedestrians via Simultaneous Detection & Segmentation
Illuminating Pedestrians via Simultaneous Detection & Segmentation
Garrick Brazil
Xi Yin
Xiaoming Liu
11
258
0
26 Jun 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
8
718
0
16 Jun 2017
What Can Help Pedestrian Detection?
What Can Help Pedestrian Detection?
Jiayuan Mao
Tete Xiao
Yuning Jiang
Zhimin Cao
15
285
0
08 May 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Pierre Baqué
François Fleuret
Pascal Fua
ObjD
29
92
0
19 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
10
787
0
18 Apr 2017
Gaussian Processes with Context-Supported Priors for Active Object
  Localization
Gaussian Processes with Context-Supported Priors for Active Object Localization
A. Rhodes
Jordan M. Witte
Melanie Mitchell
Bruno Jedynak
GP
18
2
0
25 Mar 2017
NoScope: Optimizing Neural Network Queries over Video at Scale
NoScope: Optimizing Neural Network Queries over Video at Scale
Daniel Kang
John Emmons
Firas Abuzaid
Peter Bailis
Matei A. Zaharia
29
205
0
07 Mar 2017
CityPersons: A Diverse Dataset for Pedestrian Detection
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang
Rodrigo Benenson
Bernt Schiele
14
800
0
19 Feb 2017
Deep Multi-camera People Detection
Deep Multi-camera People Detection
Tatjana Chavdarova
François Fleuret
3DH
13
75
0
15 Feb 2017
To Boost or Not to Boost? On the Limits of Boosted Trees for Object
  Detection
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection
Eshed Ohn-Bar
Mohan M. Trivedi
38
127
0
06 Jan 2017
Self-learning Scene-specific Pedestrian Detectors using a Progressive
  Latent Model
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
QiXiang Ye
Tianliang Zhang
Qiang Qiu
Baochang Zhang
Jie Chen
Guillermo Sapiro
SSL
22
33
0
22 Nov 2016
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