Fei Ma

Orcid: 0009-0002-5388-9125

Affiliations:
  • Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China
  • Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, DSIT Research Center, Shenzhen, China


According to our database1, Fei Ma authored at least 23 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Generative technology for human emotion recognition: A scoping review.
Inf. Fusion, 2025

2024
Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging.
PeerJ Comput. Sci., 2024

SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing.
CoRR, 2024

GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting.
CoRR, 2024

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression.
CoRR, 2024

Learn To Learn More Precisely.
CoRR, 2024

Generative Technology for Human Emotion Recognition: A Scope Review.
CoRR, 2024

VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models.
CoRR, 2024

SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
STAN: Spatial-Temporal Awareness Network for Temporal Action Detection.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

2022
Poster Abstract: Representation Learning from Multimodal Sensor Data with Maximally Correlated Autoencoders.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

2021
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality.
CoRR, 2021

A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Semi-Supervised Multimodal Image Translation for Missing Modality Imputation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Person Recognition with HGR Maximal Correlation on Multimodal Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Unsupervised anomaly detection via generative adversarial networks: poster abstract.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

Info-Detection: An Information-Theoretic Approach to Detect Outlier.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Multimodal Emotion Recognition by extracting common and modality-specific information.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Real-Time Emotion Detection via E-See.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018


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