Unpaired Multimodal Facial Expression Recognition

[1]  Zhiyuan Li,et al.  Identity-Free Facial Expression Recognition Using Conditional Generative Adversarial Network , 2019, 2021 IEEE International Conference on Image Processing (ICIP).

[2]  Vittorio Murino,et al.  Learning with Privileged Information via Adversarial Discriminative Modality Distillation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Srirangaraj Setlur,et al.  Representation Learning Through Cross-Modality Supervision , 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).

[4]  Shangfei Wang,et al.  Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning , 2018, ACM Multimedia.

[5]  Lijun Yin,et al.  Facial Expression Recognition by De-expression Residue Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[6]  Qiang Ji,et al.  Thermal Augmented Expression Recognition , 2018, IEEE Transactions on Cybernetics.

[7]  Juan Carlos Niebles,et al.  Graph Distillation for Action Detection with Privileged Modalities , 2017, ECCV.

[8]  Huimin Lu,et al.  Unsupervised cross-modal retrieval through adversarial learning , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

[9]  Ping Liu,et al.  Identity-Aware Convolutional Neural Network for Facial Expression Recognition , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

[10]  Fernando De la Torre,et al.  Selective Transfer Machine for Personalized Facial Expression Analysis , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Novi Quadrianto,et al.  Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[12]  Shaun J. Canavan,et al.  Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[13]  David J. Fleet,et al.  Guest Editorial: Human Activity Understanding from 2D and 3D Data , 2016, International Journal of Computer Vision.

[14]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Shangfei Wang,et al.  Expression Recognition from Visible Images with the Help of Thermal Images , 2015, ICMR.

[16]  Qiang Ji,et al.  Classifier learning with hidden information , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[18]  Qiang Ji,et al.  Fusion of visible and thermal images for facial expression recognition , 2014, Frontiers of Computer Science.

[19]  Tamás D. Gedeon,et al.  Modeling Stress Using Thermal Facial Patterns: A Spatio-temporal Approach , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[20]  Maja Pantic,et al.  The MAHNOB Laughter database , 2013, Image Vis. Comput..

[21]  Pradeep Buddharaju,et al.  A Comparative Analysis of Thermal and Visual Modalities for Automated Facial Expression Recognition , 2012, ISVC.

[22]  Matti Pietikäinen,et al.  Facial expression recognition from near-infrared videos , 2011, Image Vis. Comput..

[23]  Maja Pantic,et al.  Action unit detection using sparse appearance descriptors in space-time video volumes , 2011, Face and Gesture 2011.

[24]  Fei Chen,et al.  A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference , 2010, IEEE Transactions on Multimedia.

[25]  Takeo Kanade,et al.  The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[26]  Vladimir Vapnik,et al.  A new learning paradigm: Learning using privileged information , 2009, Neural Networks.

[27]  Cordelia Schmid,et al.  A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.

[28]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[29]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  Maja Pantic,et al.  Web-based database for facial expression analysis , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[31]  Yasunari Yoshitomi,et al.  Effect of sensor fusion for recognition of emotional states using voice, face image and thermal image of face , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).