Taking a Deeper Look at Pedestrians

23 January 2015

Bernt Schiele

Papers citing "Taking a Deeper Look at Pedestrians"

22 / 22 papers shown

Title
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion Shanshan Zhang Mingqian Ji Yang Li Jian Yang 41 1 0 02 May 2024
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection Tianliang Zhang Zhenjun Han Huijuan Xu Baochang Zhang QiXiang Ye ObjD 14 10 0 12 Dec 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 20 21 0 27 Mar 2022
Generalizable Pedestrian Detection: The Elephant In The Room Irtiza Hasan Shengcai Liao Jinpeng Li S. Akram Ling Shao 13 27 0 19 Mar 2020
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild Shifeng Zhang Yiliang Xie Jun Wan Hansheng Xia Stan Z. Li G. Guo 14 134 0 25 Sep 2019
Recent Advances in Deep Learning for Object Detection Xiongwei Wu Doyen Sahoo S. Hoi VLM ObjD 30 794 0 10 Aug 2019
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 27 2,414 0 06 Sep 2018
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 13 63 0 13 Aug 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 25 3,939 0 15 Jul 2018
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection Markus Braun Sebastian Krebs F. Flohr D. Gavrila ObjD 13 226 0 18 May 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 26 60 0 28 Mar 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications Haohan Wang Zhenglin Wu Eric P. Xing OOD 19 40 0 20 Mar 2018
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking Tharindu Fernando Simon Denman S. Sridharan Clinton Fookes 14 62 0 09 Mar 2018
Aggregated Channels Network for Real-Time Pedestrian Detection Farzin Ghorban Javier Marín Yu Su A. Colombo A. Kummert ObjD 14 13 0 01 Jan 2018
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 18 10 0 13 Sep 2017
Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments Oier Mees Andreas Eitel Wolfram Burgard 22 102 0 18 Jul 2017
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection Dan Xu Wanli Ouyang Elisa Ricci Xiaogang Wang N. Sebe 16 191 0 08 Apr 2017
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection Eshed Ohn-Bar Mohan M. Trivedi 17 127 0 06 Jan 2017
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection Xianzhi Du Mostafa El-Khamy Jungwon Lee L. Davis 20 274 0 11 Oct 2016
Real-Time RGB-D based Template Matching Pedestrian Detection O. Jafari M. Yang 13 13 0 03 Oct 2016
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry Jiale Cao Yanwei Pang Xuelong Li 21 85 0 25 Nov 2015
Deep convolutional neural networks for pedestrian detection Denis Tomè Federico Monti L. Baroffio Luca Bondi Marco Tagliasacchi Stefano Tubaro 3DH 22 193 0 13 Oct 2015