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[1] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[2] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[3] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[4] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[5] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[6] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[8] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[10] Pietro Perona,et al. Quickly Boosting Decision Trees - Pruning Underachieving Features Early , 2013, ICML.
[11] Anton van den Hengel,et al. Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features , 2014, ECCV.
[12] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Pietro Perona,et al. Fast Feature Pyramids for Object Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Bernt Schiele,et al. Ten Years of Pedestrian Detection, What Have We Learned? , 2014, ECCV Workshops.
[15] Joon Hee Han,et al. Local Decorrelation For Improved Pedestrian Detection , 2014, NIPS.
[16] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[17] Xiaogang Wang,et al. Pedestrian detection aided by deep learning semantic tasks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Bernt Schiele,et al. Taking a deeper look at pedestrians , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Bernt Schiele,et al. Filtered channel features for pedestrian detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[21] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Yunchao Wei,et al. Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[23] Bin Yang,et al. Convolutional Channel Features , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[24] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[25] Trevor Darrell,et al. Fully convolutional networks for semantic segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Xiaogang Wang,et al. Deep Learning Strong Parts for Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[27] Nuno Vasconcelos,et al. Learning Complexity-Aware Cascades for Deep Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[30] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[31] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] B. Schiele,et al. How Far are We from Solving Pedestrian Detection? , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).