Factorized Higher-Order CNNs with an Application to Spatio-Temporal
Emotion Estimation

Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation

14 June 2019

Antoine Toisoul

Yannis Panagakis

Timothy M. Hospedales

Papers citing "Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation"

17 / 17 papers shown

Title
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs Haodong Chen Haojian Huang Junhao Dong Mingzhe Zheng Dian Shao 45 15 0 02 Jul 2024
Neuromorphic Valence and Arousal Estimation Lorenzo Berlincioni Luca Cultrera Federico Becattini A. Bimbo CVBM 34 3 0 29 Jan 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 45 19 0 22 Jan 2023
SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video Marija Jegorova Stavros Petridis M. Pantic 22 2 0 20 Oct 2022
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition D. Kim B. Song OT 29 10 0 25 Sep 2022
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures Leena Mathur R. Adolphs Maja J. Matarić CVBM 32 1 0 31 Jul 2022
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? M. Tellamekala Ömer Sümer Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar CVBM 19 9 0 03 Jul 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 23 25 0 12 Jun 2022
NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition Hanting Li Ming-Fa Sui Zhaoqing Zhu Feng Zhao 25 27 0 10 Jun 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Y. Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 32 11 0 28 May 2022
Model based Multi-agent Reinforcement Learning with Tensor Decompositions Pascal R. van der Vaart Anuj Mahajan Shimon Whiteson AI4CE 23 8 0 27 Oct 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 19 119 0 07 Jul 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 26 32 0 31 May 2021
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Ye Yu Lu Yuan Zicheng Liu Mei Chen Nuno Vasconcelos 29 67 0 15 Mar 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 29 79 0 17 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network Anh-Huy Phan Konstantin Sobolev Konstantin Sozykin Dmitry Ermilov Julia Gusak P. Tichavský Valeriy Glukhov Ivan V. Oseledets A. Cichocki BDL 19 128 0 12 Aug 2020
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016