Rethinking Optical Flow Methods for Micro-Expression Spotting-Reference-Cited by-同舟云学术

Rethinking Optical Flow Methods for Micro-Expression Spotting

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Zhao Yuan¹,Tong Xin²,Zhu Zichong³,Sheng Jianda⁴,Dai Lei⁵,Xu Lingling⁴,Xia Xuehai⁴,Jiang Yu⁴,Li Jiao⁴

Affiliation:

1. Ping An Technology & Chongqing University of Technology, Nanjing, China

2. Ping An Technology & Hubei University of Technology, Nanjing, China

3. Ping An Technology & Central South University, Nanjing, China

4. Ping An Technology, Nanjing, China

5. Ping An Technology & Nanchang University, Nanjing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3551602

Reference25 articles.

1. MESNet: A Convolutional Neural Network for Spotting Multi-Scale Micro-Expression Intervals in Long Videos

2. LSSNet

3. LTP-ML: Micro-Expression Detection by Recognition of Local Temporal Pattern of Facial Movements

4. Research on Micro-Expression Spotting Method Based on Optical Flow Features

5. ISO/IEC 19794-5:2011. ( 2011 ). Information technology biometric data interchange formats part 5: Face image data. Standard ISO/IEC 19794-5:2011 , International Organization for Standardization , Geneva, CH . ISO/IEC 19794-5:2011. (2011). Information technology biometric data interchange formats part 5: Face image data. Standard ISO/IEC 19794-5:2011, International Organization for Standardization, Geneva, CH.

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1. SFAMNet: A scene flow attention-based micro-expression network;Neurocomputing;2024-01

2. Efficient Micro-Expression Spotting Based on Main Directional Mean Optical Flow Feature;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Micro-Expression Spotting with Face Alignment and Optical Flow;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. SL-Swin: A Transformer-Based Deep Learning Approach for Macro- and Micro-Expression Spotting on Small-Size Expression Datasets;Electronics;2023-06-13

5. MEGC2022;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10