Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846 · see citing works

Opensmile: the munich versatile and fast open-source audio feature extractor

Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874246 · Cited by 2,642 · see citing works

Face detection, pose estimation, and landmark localization in the wild

Zhu, X., & Ramanan, D. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6248014 · Cited by 2,171 · see citing works

Supervised Descent Method and Its Applications to Face Alignment

Xiong, X., & la Torre, F. D. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.75 · Cited by 1,917 · see citing works

Collecting Large, Richly Annotated Facial-Expression Databases from Movies

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2012) · IEEE Multimedia · doi:10.1109/mmul.2012.26 · Cited by 664 · see citing works

The INTERSPEECH 2010 paralinguistic challenge

Schuller, B. W., Steidl, S., Batliner, A. M., Burkhardt, F., Devillers, L. Y., Müller, C. A., & Narayanan, S. S. (2010) · Interspeech (USB) · doi:10.21437/interspeech.2010-739 · Cited by 577 · see citing works

OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

Eyben, F., Wollmer, M., & Schuller, B. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349350 · Cited by 418 · see citing works

Combining modality specific deep neural networks for emotion recognition in video

Kahou, S. E., Pal, C., Bouthillier, X., Froumenty, P., Gülçehre, Ç., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., et al. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction · doi:10.1145/2522848.2531745 · Cited by 391 · see citing works

Meta-Analysis of the First Facial Expression Recognition Challenge

Valstar, M. F., Mehu, M., Jiang, B., Pantic, M., & Scherer, K. (2012) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2200675 · Cited by 297 · see citing works

AVEC 2011–The First International Audio/Visual Emotion Challenge

Schuller, B. W., Valstar, M., Eyben, F., McKeown, G. J., Cowie, R., & Pantić, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24571-8_53 · Cited by 270 · see citing works

AVEC 2012

Schuller, B. W., Valstar, M., Eyben, F., Cowie, R., & Pantić, M. (2012) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2388676.2388776 · Cited by 225 · see citing works

Emotion recognition using PHOG and LPQ features

Dhall, A., Asthana, A., Goecke, R., & Gedeon, T. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771366 · Cited by 221 · see citing works

Emotion Recognition In The Wild Challenge 2014

Dhall, A., Goecke, R., Joshi, J., Sikka, K., & Gedeon, T. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2666275 · Cited by 216 · see citing works

Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild

Liu, M., Wang, R., Li, S., Shan, S., Huang, Z., & Chen, X. (2014) · Proceedings of the 16th International Conference on Multimodal Interaction · doi:10.1145/2663204.2666274 · Cited by 202 · see citing works

Emotion recognition in the wild challenge 2013

Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction · doi:10.1145/2522848.2531739 · Cited by 178 · see citing works

Multiple kernel learning for emotion recognition in the wild

Sikka, K., Dykstra, K., Sathyanarayana, S., Littlewort, G., & Bartlett, M. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction · doi:10.1145/2522848.2531741 · Cited by 119 · see citing works

Finding Happiest Moments in a Social Context

Dhall, A., Joshi, J., Radwan, I., & Goecke, R. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37444-9_48 · Cited by 50 · see citing works

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Bagher Zadeh, A., Liang, P. P., Poria, S., Cambria, E., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1208 · Cited by 1,433 · see citing works

Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning

Ng, H.-W., Nguyen, V. D., Vonikakis, V., & Winkler, S. (2015) · Proceedings of the 2015 ACM on International Conference on Multimodal Interaction · doi:10.1145/2818346.2830593 · Cited by 657 · see citing works

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

Ding, H., Zhou, S. K., & Chellappa, R. (2017) · 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) · doi:10.1109/fg.2017.23 · Cited by 416 · see citing works

Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition

Zhang, S., Zhang, S., Huang, T., Gao, W., & Tian, Q. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2719043 · Cited by 346 · see citing works

Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Levi, G., & Hassner, T. (2015) · Proceedings of the 2015 ACM on International Conference on Multimodal Interaction · doi:10.1145/2818346.2830587 · Cited by 336 · see citing works

Deep learning for human affect recognition: Insights and new developments

Rouast, P. V., Adam, M. T. P., & Chiong, R. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2890471 · Cited by 243 · see citing works

Video-based emotion recognition in the wild using deep transfer learning and score fusion

Kaya, H., Gürpınar, F., & Salah, A. A. (2017) · Image and Vision Computing · doi:10.1016/j.imavis.2017.01.012 · Cited by 235 · see citing works

From individual to group-level emotion recognition: EmotiW 5.0

Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., & Gedeon, T. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction · doi:10.1145/3136755.3143004 · Cited by 218 · see citing works

HoloNet: towards robust emotion recognition in the wild

Yao, A., Cai, D., Hu, P., Wang, S., Sha, L., & Chen, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction · doi:10.1145/2993148.2997639 · Cited by 115 · see citing works

Facial expression recognition in the wild based on multimodal texture features

Sun, B., Li, L., Zhou, G., & He, J. (2016) · Journal of Electronic Imaging · doi:10.1117/1.jei.25.6.061407 · Cited by 74 · see citing works

Audio and face video emotion recognition in the wild using deep neural networks and small datasets

Ding, W., Xu, M., Huang, D., Lin, W., Dong, M., Yu, X., & Li, H. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction · doi:10.1145/2993148.2997637 · Cited by 51 · see citing works

Video emotion recognition in the wild based on fusion of multimodal features

Chen, S., Li, X., Jin, Q., Zhang, S., & Qin, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction · doi:10.1145/2993148.2997629 · Cited by 20 · see citing works

Basic Emotion Recogniton using Automatic Facial Expression Analysis Software

Triyanti, V., & Yassierli, Y. (2019) · Jurnal Optimasi Sistem Industri · doi:10.25077/josi.v18.n1.p55-64.2019 · Cited by 11 · see citing works

A Survey of Facial Expression Recognition

Wang, B. (2012) · Computer Knowledge and Technology · Cited by 5 · see citing works

Development of a Facial Expression Recognition and Expression Skill Training System for ASD Children

Minamikawa, N., Ogoshi, S., SAITO, Y., et al. (2021) · Transactions of Japan Society of Kansei Engineering · doi:10.5057/jjske.tjske-d-21-00002 · Cited by 2 · see citing works

Personalized facial expression recognition in indoor environments

Chang, C., & Huang, Y. (2010) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2010.5596316 · Cited by 24 · see citing works

Beihang University Facial Expression Database and Multiple Facial Expression Recognition

Xue, Y., Mao, X., & Zhang, F. (2006) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2006.258460 · Cited by 34 · see citing works