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Deep learning models for multimodal expression recognition have reached remarkable performance in controlled laboratory environments because of their ability to learn complementary and redundant semantic information.
Optimal transport: Old and new
Cédric Villani · 2008
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A new learning paradigm: Learning using privileged information
Vladimir Vapnik and Akshay Vashist · 2009
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Multimodal deep learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng · 2011
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A kernel two-sample test
Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, and Alexander Smola · 2012
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Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi · 2013
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Automatic pain recognition from video and biomedical signals
Philipp Werner, Ayoub Al-Hamadi, Robert Niese, Steffen Walter, Sascha Gruss, and Harald C. Traue · 2014
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 2014
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Bio-visual fusion for person-independent recognition of pain intensity
Markus Kächele, Philipp Werner, Ayoub Al-Hamadi, Günther Palm, Steffen Walter, and Friedhelm Schwenker · 2015
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Distilling the knowledge in a neural network
Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean · 2015
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Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, E. Cambria, and Louis-Philippe Morency · 2017
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Multi-modal data fusion for pain intensity assessment and classification
Patrick Thiam and Friedhelm Schwenker · 2017
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End-to-end multimodal emotion recognition using deep neural networks
Panagiotis Tzirakis, George Trigeorgis, Mihalis Nicolaou, Björn Schuller, and Stefanos Zafeiriou · 2017
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A review of automated pain assessment in infants: Features, classification tasks, and databases
Ghada Zamzmi, Rangachar Kasturi, Dmitry Goldgof, Ruicong Zhi, Terri Ashmeade, and Yu Sun · 2017
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Automatic pain assessment with facial activity descriptors
Philipp Werner, Ayoub Al-Hamadi, Kerstin Limbrecht-Ecklundt, Steffen Walter, Sascha Gruss, and Harald C. Traue · 2017
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Learning and refining of privileged information-based rnns for action recognition from depth sequences
Zhiyuan Shi and Tae-Kyun Kim · 2017
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Automatic pain assessment with facial activity descriptors
Philipp Werner, Ayoub Al-Hamadi, Kerstin Limbrecht-Ecklundt, Steffen Walter, Sascha Gruss, and Harald C. Traue · 2017
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Noise-tolerant audio-visual online person verification using an attention-based neural network fusion
Suwon Shon, Tae-Hyun Oh, and James R. Glass · 2018
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Person re-identification with metric learning using privileged information
Xun Yang, Meng Wang, and Dacheng Tao · 2018
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Paraphrasing complex network: Network compression via factor transfer
Jangho Kim, Seonguk Park, and Nojun Kwak · 2018
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, A. Papaioannou, Guoying Zhao, Björn Schuller, Irene Kotsia, and Stefanos Zafeiriou · 2018
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Dynamic facial expression feature learning based on sparse rnn
Ruicong Zhi and Ming Wan · 2019
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A comprehensive overhaul of feature distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi · 2019
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Relational knowledge distillation
Wonpyo Park, Dongju Kim, Yan Lu, and Minsu Cho · 2019
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Progressive privileged knowledge distillation for online action detection
Peisen Zhao, Lingxi Xie, Jiajie Wang, Ya Zhang, and Qi Tian · 2022
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Model compression using optimal transport
Suhas Lohit and Michael Jones · 2022
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Abaw: Valence-arousal estimation, expression recognition, action unit detection and; multi-task learning challenges
D. Kollias · 2022
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An ensemble approach for facial behavior analysis in-the-wild video
Hong-Hai Nguyen, Van-Thong Huynh, and Soo-Hyung Kim · 2022
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Deep graph neural network for video-based facial pain expression assessment
Sabrina Patania, Giuseppe Boccignone, Sathya Buršić, Alessandro D’Amelio, and Raffaella Lanzarotti · 2022
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Pain recognition with physiological signals using multi-level context information
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Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouve, and Gabriel Peyré · 2019
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Automatic subject independent pain intensity estimation using a deep learning approach
Marilena-Cătălina Dragomir, Corneliu Florea, and Valentin Pupezescu · 2020
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Facial affect recognition in the wild using multi-task learning convolutional network
Zihang Zhang and Jianping Gu · 2020
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Automatic subject independent pain intensity estimation using a deep learning approach
Marilena-Cătălina Dragomir, Corneliu Florea, and Valentin Pupezescu · 2020
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Attention bottlenecks for multimodal fusion
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, and Chen Sun · 2021
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Multimodal-based stream integrated neural networks for pain assessment
Ruicong Zhi, Caixia Zhou, Junwei Yu, Tingting Li, and Ghada Zamzmi · 2021
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Feature pyramid network for multi-task affective analysis
Ruian He, Zhen Xing, Weimin Tan, and Bo Yan · 2021
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Kim Ngan Phan, Ngumimi Karen Iyortsuun, Sudarshan Pant, Hyung-Jeong Yang, and Soo-Hyung Kim · 2023
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From the lab to the wild: Affect modeling via privileged information
Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis, and Georgios N. Yannakakis · 2023
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Privileged knowledge distillation for dimensional emotion recognition in the wild
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, and Eric Granger · 2023
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Explainable automated pain recognition in cats
Marcelo Feighelstein · 2023
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Zhenyuan Lu, Burcu Ozek, and Sagar Kamarthi · 2023
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Mot: Masked optimal transport for partial domain adaptation
You-Wei Luo and Chuan-Xian Ren · 2023
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Optimal proposal learning for deployable end-to-end pedestrian detection
Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, and Honggang Zhang · 2023
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Hotnas: Hierarchical optimal transport for neural architecture search
Jiechao Yang, Yong Liu, and Hongteng Xu · 2023
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Emotionkd: A cross-modal knowledge distillation framework for emotion recognition based on physiological signals
Yucheng Liu, Ziyu Jia, and Haichao Wang · 2023
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Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention
R Gnana Praveen, Patrick Cardinal, and Eric Granger · 2023
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A full transformer-based framework for automatic pain estimation using videos
Stefanos Gkikas and Manolis Tsiknakis · 2023
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Joint multimodal transformer for emotion recognition in the wild, 2024
Paul Waligora, Haseeb Aslam, Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, and Eric Granger · 2024
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