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Detecting pedestrian has been arguably addressed as a special topic beyond general object detection.
Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)
Jerome Friedman, Trevor Hastie, Robert Tibshirani, et al · 2000
Earlier work this paper cites.
Robust real-time face detection
Paul Viola and Michael J Jones · 2004
Earlier work this paper cites.
Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
Earlier work this paper cites.
Depth and appearance for mobile scene analysis
Andreas Ess, Bastian Leibe, and Luc Van Gool · 2007
Earlier work this paper cites.
Integral channel features
Piotr Dollár, Zhuowen Tu, Pietro Perona, and Serge Belongie · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Pedestrian detection: An evaluation of the state of the art
Piotr Dollár, Christian Wojek, Bernt Schiele, and Pietro Perona · 2012
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Selective search for object recognition
Jasper RR Uijlings, Koen EA van de Sande, Theo Gevers, and Arnold WM Smeulders · 2013
Earlier work this paper cites.
Quickly boosting decision trees-pruning underachieving features early
Ron Appel, Thomas Fuchs, Piotr Dollár, and Pietro Perona · 2013
Earlier work this paper cites.
Fast feature pyramids for object detection
Piotr Dollár, Ron Appel, Serge Belongie, and Pietro Perona · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
Ten years of pedestrian detection, what have we learned?
Rodrigo Benenson, Mohamed Omran, Jan Hosang, and Bernt Schiele · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
Cited alongside, same era.
Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2014
Cited alongside, same era.
Semantic image segmentation with deep convolutional nets and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2014
Cited alongside, same era.
Pedestrian detection aided by deep learning semantic tasks
Yonglong Tian, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Later among the works it cites.
Deep learning strong parts for pedestrian detection
Yonglong Tian, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Later among the works it cites.
Learning complexity-aware cascades for deep pedestrian detection
Zhaowei Cai, Mohammad Saberian, and Nuno Vasconcelos · 2015
Later among the works it cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Later among the works it cites.
Convolutional channel features
Bin Yang, Junjie Yan, Zhen Lei, and Stan Z. Li · 2015
Later among the works it cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Local decorrelation for improved pedestrian detection
Woonhyun Nam, Piotr Dollár, and Joon Hee Han · 2014
Cited alongside, same era.
Strengthening the effectiveness of pedestrian detection with spatially pooled features
Sakrapee Paisitkriangkrai, Chunhua Shen, and Anton van den Hengel · 2014
Cited alongside, same era.
Fast R-CNN
Ross Girshick · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
Taking a deeper look at pedestrians
Jan Hosang, Mohamed Omran, Rodrigo Benenson, and Bernt Schiele · 2015
Cited alongside, same era.
Piotr’s Computer Vision Matlab Toolbox (PMT)
Piotr Dollár
Cited in the paper.
Later among the works it cites.
Parsenet: Looking wider to see better
Wei Liu, Andrew Rabinovich, and Alexander C Berg · 2015
Later among the works it cites.
Filtered channel features for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2015
Later among the works it cites.
How far are we from solving pedestrian detection?
Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hosang, and Bernt Schiele · 2016
Closest in time.
Training region-based object detectors with online hard example mining
Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick · 2016
Closest in time.