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Facial expression recognition (FER) is an important task in computer vision, having practical applications in areas such as human-computer interaction, education, healthcare, and online monitoring.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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Robust facial expression recognition using local binary patterns
Caifeng Shan, Shaogang Gong, and Peter W McOwan · 2005
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Dynamic texture recognition using local binary patterns with an application to facial expressions
Guoying Zhao and Matti Pietikainen · 2007
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Facial expression recognition based on local binary patterns: A comprehensive study
Caifeng Shan, Shaogang Gong, and Peter W McOwan · 2009
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3d facial expression recognition using sift descriptors of automatically detected keypoints
Stefano Berretti, Boulbaba Ben Amor, Mohamed Daoudi, and Alberto Del Bimbo · 2011
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Learning active facial patches for expression analysis
Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, and Dimitris N Metaxas · 2012
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Challenges in representation learning: A report on three machine learning contests
Ian J Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, et al · 2013
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Deepface: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014
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Facial expression recognition and histograms of oriented gradients: a comprehensive study
Pierluigi Carcagnì, Marco Del Coco, Marco Leo, and Cosimo Distante · 2015
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Joint fine-tuning in deep neural networks for facial expression recognition
Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, and Junmo Kim · 2015
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Training deep networks for facial expression recognition with crowd-sourced label distribution
Emad Barsoum, Cha Zhang, Cristian Canton Ferrer, and Zhengyou Zhang · 2016
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Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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Facial expression recognition using enhanced deep 3d convolutional neural networks
Behzad Hasani and Mohammad H Mahoor · 2017
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Synergy between face alignment and tracking via discriminative global consensus optimization
Muhammad Haris Khan, John McDonagh, and Georgios Tzimiropoulos · 2017
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Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Shan Li, Weihong Deng, and JunPing Du · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Sphereface: Deep hypersphere embedding for face recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
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Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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PyTorch Face Landmark: A fast and accurate facial landmark detector, 2021
Cunjian Chen · 2021
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Crossvit: Cross-attention multi-scale vision transformer for image classification
Chun-Fu Richard Chen, Quanfu Fan, and Rameswar Panda · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Facial expression recognition in the wild via deep attentive center loss
Amir Hossein Farzaneh and Xiaojun Qi · 2021
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Pixel-in-pixel net: Towards efficient facial landmark detection in the wild
Haibo Jin, Shengcai Liao, and Ling Shao · 2021
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Fuzail Khan · 2018
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Facial expression recognition based on landmarks
Yinghong Qiu and Yi Wan · 2019
Cited alongside, same era.
Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2019
Cited alongside, same era.
Attention-driven cropping for very high resolution facial landmark detection
Prashanth Chandran, Derek Bradley, Markus Gross, and Thabo Beeler · 2020
Cited alongside, same era.
Deep facial expression recognition: A survey
Shan Li and Weihong Deng · 2020
Cited alongside, same era.
Pyramid with super resolution for in-the-wild facial expression recognition
Thanh-Hung Vo, Guee-Sang Lee, Hyung-Jeong Yang, and Soo-Hyung Kim · 2020
Cited alongside, same era.
Hangyu Li, Nannan Wang, Xinpeng Ding, Xi Yang, and Xinbo Gao · 2021
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Feature decomposition and reconstruction learning for effective facial expression recognition
Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, and Hanzi Wang · 2021
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Dive into ambiguity: latent distribution mining and pairwise uncertainty estimation for facial expression recognition
Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, and Tao Mei · 2021
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Learning to amend facial expression representation via de-albino and affinity
Jiawei Shi, Songhao Zhu, and Zhiwei Liang · 2021
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Face. evolve: A high-performance face recognition library
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, and Jian Zhao · 2021
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Transfer: Learning relation-aware facial expression representations with transformers
Fanglei Xue, Qiangchang Wang, and Guodong Guo · 2021
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Relative uncertainty learning for facial expression recognition
Yuhang Zhang, Chengrui Wang, and Weihong Deng · 2021
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Face2exp: Combating data biases for facial expression recognition
Dan Zeng, Zhiyuan Lin, Xiao Yan, Yuting Liu, Fei Wang, and Bo Tang · 2022
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Learn from all: Erasing attention consistency for noisy label facial expression recognition
Yuhang Zhang, Chengrui Wang, Xu Ling, and Weihong Deng · 2022
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Fer-former: Multi-modal transformer for facial expression recognition
Yande Li, Mingjie Wang, Minglun Gong, Yonggang Lu, and Li Liu · 2023
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