Zhang H, Sindagi V, Patel V M. Image de-raining using a conditional generative adversarial network[J]. arXiv preprint arXiv:1701.05957, 2017.
(CVPR 2016) Deep region and multi-label learning for facial action unit detection
Keyword [Facial Action Units]
Zhao K, Chu W S, Zhang H. Deep region and multi-label learning for facial action unit detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 3391-3399.
(CVPR 2017) Fatauva-net:An integrated deep learning framework for facial attribute recognition, action unit (au) detection, and valence-arousal estimation
Keyword [Facial Action Units] [Valence-Arousal space]
Chang W Y, Hsu S H, Chien J H. Fatauva-net: An integrated deep learning framework for facial attribute recognition, action unit (au) detection, and valence-arousal estimation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop. 2017.
(ICCV 2017) DeepCoder:Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding
Keyword [Facial Action Units]
Linh Tran D, Walecki R, Eleftheriadis S, et al. DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 3190-3199.
(ECCV 2016) Stacked hourglass networks for human pose estimation
Newell A, Yang K, Deng J. Stacked hourglass networks for human pose estimation[C]//European Conference on Computer Vision. Springer International Publishing, 2016: 483-499.
(CVPR 2016) Convolutional pose machines
Keyword [CPN]
Wei S E, Ramakrishna V, Kanade T, et al. Convolutional pose machines[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 4724-4732.
(2017) Going deeper into action recognition:A survey
Herath S, Harandi M, Porikli F. Going deeper into action recognition: A survey[J]. Image and Vision Computing, 2017, 60: 4-21.
(CVPR 2016) Compact Bilinear Pooling
Keyword [Compact Bilinear Pooling]
Gao Y, Beijbom O, Zhang N, et al. Compact bilinear pooling[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 317-326.
(ICCV 2015) Bilinear CNN Models for Fine-grained
Keyword [Bilinear CNN]
Lin T Y, RoyChowdhury A, Maji S. Bilinear cnn models for fine-grained visual recognition[C]//Proceedings of the IEEE International Conference on Computer Vision. 2015: 1449-1457.
(CVPR 2018) Learning to segment every thing
Keyword [Weight Transfer] [Mask R-CNN] [Maskx R-CNN]
Hu R, Dollár P, He K, et al. Learning to segment every thing[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 4233-4241.