Fetching the paper…
Reading the bibliography…
We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision.
R. Vaillant, C. Monrocq, and Y. Le Cun, “Original approach for the localisation of objects in images,” VISP , 1994
1994
Earlier work this paper cites.
H. A. Rowley, S. Baluja, and T. Kanade, “Neural network-based face detection,” TPAMI , 1998
1998
Earlier work this paper cites.
M.-H. Yang, D. Kriegman, and N. Ahuja, “Detecting faces in images: A survey,” TPAMI , 2002
2002
Earlier work this paper cites.
C. Garcia and M. Delakis, “Convolutional face finder: A neural architecture for fast and robust face detection,” TPAMI , 2004
2004
Earlier work this paper cites.
P. Viola and M. J. Jones, “Robust real-time face detection,” IJCV , 2004
2004
Earlier work this paper cites.
Y.-Y. Lin, T.-L. Liu, and C.-S. Fuh, “Fast object detection with occlusions,” in ECCV , 2004
2004
Earlier work this paper cites.
Y.-Y. Lin and T.-L. Liu, “Robust face detection with multi-class boosting,” in CVPR , 2005
2005
Earlier work this paper cites.
M. Osadchy, Y. Le Cun, and M. L. Miller, “Synergistic face detection and pose estimation with energy-based models,” JMLR , 2007
2007
Earlier work this paper cites.
C. Huang, H. Ai, Y. Li, and S. Lao, “High-performance rotation invariant multiview face detection,” TPAMI , 2007
2007
Earlier work this paper cites.
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, “Labeled faces in the wild: A database for studying face recognition in unconstrained environments,” University of Massachusetts, Amherst, Tech. Rep., 2007
2007
Earlier work this paper cites.
V. Jain and E. Learned-Miller, “Fddb: A benchmark for face detection in unconstrained settings,” University of Massachusetts, Amherst, Tech. Rep., 2010
2010
Earlier work this paper cites.
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, “The pascal visual object classes (voc) challenge,” IJCV , 2010
2010
Earlier work this paper cites.
M. Koestinger, P. Wohlhart, P. M. Roth, and H. Bischof, “Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization,” in First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies , 2011
2011
Earlier work this paper cites.
V. Jain and E. Learned-Miller, “Online domain adaptation of a pre-trained cascade of classifiers,” in CVPR , 2011
2011
Earlier work this paper cites.
X. Zhu and D. Ramanan, “Face detection, pose estimation, and landmark localization in the wild,” in CVPR , 2012
2012
Earlier work this paper cites.
B. Alexe, T. Deselaers, and V. Ferrari, “Measuring the objectness of image windows,” TPAMI , 2012
2012
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in NIPS , 2012
2012
Earlier work this paper cites.
V. Mnih and G. Hinton, “Learning to label aerial images from noisy data,” in ICML , 2012
2012
Earlier work this paper cites.
J. Li and Y. Zhang, “Learning surf cascade for fast and accurate object detection,” in CVPR , 2013
2013
Earlier work this paper cites.
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders, “Selective search for object recognition,” IJCV , 2013
2013
Earlier work this paper cites.
C. Farabet, C. Couprie, L. Najman, and Y. LeCun, “Learning hierarchical features for scene labeling,” TPAMI , 2013
2013
Cited alongside, same era.
S. Manén, M. Guillaumin, and L. Van Gool, “Prime Object Proposals with Randomized Prim’s Algorithm,” in ICCV , 2013
2013
Cited alongside, same era.
A. Kae, K. Sohn, H. Lee, and E. Learned-Miller, “Augmenting crfs with boltzmann machine shape priors for image labeling,” in CVPR , 2013
2013
Cited alongside, same era.
H. Li, G. Hua, Z. Lin, J. Brandt, and J. Yang, “Probabilistic elastic part model for unsupervised face detector adaptation,” in ICCV , 2013
2013
Cited alongside, same era.
X. Shen, Z. Lin, J. Brandt, and Y. Wu, “Detecting and aligning faces by image retrieval,” in CVPR , 2013
2013
Cited alongside, same era.
J. Yan, Z. Lei, L. Wen, and S. Li, “The fastest deformable part model for object detection,” in CVPR , 2014
2014
Later among the works it cites.
H. Li, Z. Lin, J. Brandt, X. Shen, and G. Hua, “Efficient boosted exemplar-based face detection,” in CVPR , 2014
2014
Later among the works it cites.
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua, “A convolutional neural network cascade for face detection,” in CVPR , 2015
2015
Later among the works it cites.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,” in NIPS , 2015
2015
Later among the works it cites.
Z. Liu, P. Luo, X. Wang, and X. Tang, “Deep learning face attributes in the wild,” in ICCV , 2015
2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2013
Cited alongside, same era.
D. Chen, S. Ren, Y. Wei, X. Cao, and J. Sun, “Joint cascade face detection and alignment,” in ECCV , 2014
2014
Cited alongside, same era.
M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool, “Face detection without bells and whistles,” in ECCV , 2014
2014
Cited alongside, same era.
J. Yan, X. Zhang, Z. Lei, and S. Z. Li, “Face detection by structural models,” IVC , 2014
2014
Cited alongside, same era.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in CVPR , 2014
2014
Cited alongside, same era.
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik, “Multiscale combinatorial grouping,” in CVPR , 2014
2014
Cited alongside, same era.
Z. Zhang, P. Luo, C. C. Loy, and X. Tang, “Facial landmark detection by deep multi-task learning,” in European Conference on Computer Vision , 2014
2014
Cited alongside, same era.
S. Yang, P. Luo, C. C. Loy, and X. Tang, “From facial parts responses to face detection: A deep learning approach,” in ICCV , 2015
2015
Later among the works it cites.
S. S. Farfade, M. J. Saberian, and L.-J. Li, “Multi-view face detection using deep convolutional neural networks,” in ICMR , 2015
2015
Later among the works it cites.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein et al. , “Imagenet large scale visual recognition challenge,” IJCV , 2015
2015
Later among the works it cites.
S. Yang, P. Luo, C. C. Loy, K. W. Shum, and X. Tang, “Deep representation learning with target coding.” in AAAI , 2015
2015
Later among the works it cites.
H. Qin, J. Yan, X. Li, and X. Hu, “Joint training of cascaded cnn for face detection,” in CVPR , 2016
2016
Later among the works it cites.
D. Chen, G. Hua, F. Wen, and J. Sun, “Supervised transformer network for efficient face detection,” in European Conference on Computer Vision , 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
S. Yang, P. Luo, C. C. Loy, and X. Tang, “WIDER FACE: A face detection benchmark,” in CVPR , 2016
2016
Later among the works it cites.
Y. Li, B. Sun, T. Wu, and Y. Wang, “Face detection with end-to-end integration of a convnet and a 3d model,” in ECCV , 2016
2016
Later among the works it cites.
M. Opitz, G. Waltner, G. Poier, H. Possegger, and H. Bischof, “Grid loss: Detecting occluded faces,” in ECCV , 2016
2016
Later among the works it cites.
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao, “Joint face detection and alignment using multitask cascaded convolutional networks,” IEEE Signal Processing Letters , 2016
2016
Later among the works it cites.
P. Hu and D. Ramanan, “Finding tiny faces,” in CVPR , 2017
2017
Closest in time.
C. C. Loy, P. Luo, and C. Huang, “Deep learning face attributes for detection and alignment,” in Visual Attributes . Springer, 2017, pp. 181–214
2017
Closest in time.