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Fei Ma 0006
Person information
- affiliation: Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China
- affiliation: Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, DSIT Research Center, Shenzhen, China
Other persons with the same name
- Fei Ma — disambiguation page
- Fei Ma 0001 — Beijing University of Chemical Technology, College of Information Science and Technology, Beijing, China (and 1 more)
- Fei Ma 0002 — Xi'an Jiaotong-Liverpool University, School of Mathematics and Physics, Suzhou, China (and 1 more)
- Fei Ma 0003 — Beihang University, School of Automation Science and Electrical Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
- Fei Ma 0004 — Qufu Normal University, School of Computer Science, Rizhao, China (and 3 more)
- Fei Ma 0005 — Liaoning Technical University, School of Electronic and Information Engineering, Huludao, China (and 2 more)
- Fei Ma 0007 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 2 more)
- Fei Ma 0008 — Australian National University, College of Engineering and Computer Science, Audio and Acoustic Signal Processing Group, Canberra, Australia
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2020 – today
- 2025
- [j3]Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni:
Generative technology for human emotion recognition: A scoping review. Inf. Fusion 115: 102753 (2025) - [j2]Yi Liu, Haowen Hou, Fei Ma, Shiguang Ni, Fei Richard Yu:
MLLM-TA: Leveraging Multimodal Large Language Models for Precise Temporal Video Grounding. IEEE Signal Process. Lett. 32: 281-285 (2025) - 2024
- [j1]Ivan Liu, Fangyuan Liu, Qi Zhong, Fei Ma, Shiguang Ni:
Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging. PeerJ Comput. Sci. 10: e1912 (2024) - [c15]Zhengjun Zhong, Ying He, Pengteng Li, Fei Yu, Fei Ma:
A Language-Driven Navigation Strategy Integrating Semantic Maps and Large Language Models. IROS 2024: 9753-9760 - [c14]Lingyu Xiong, Xize Cheng, Jintao Tan, Xianjia Wu, Xiandong Li, Lei Zhu, Fei Ma, Minglei Li, Huang Xu, Zhihui Hu:
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing. ACM Multimedia 2024: 3170-3179 - [c13]Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu:
CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. ACM Multimedia 2024: 6910-6919 - [i8]Ivan Liu, Fangyuan Liu, Qi Zhong, Fei Ma, Shiguang Ni:
Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging. CoRR abs/2401.09145 (2024) - [i7]Haowen Hou, Peigen Zeng, Fei Ma, Fei Richard Yu:
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models. CoRR abs/2406.13362 (2024) - [i6]Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni:
Generative Technology for Human Emotion Recognition: A Scope Review. CoRR abs/2407.03640 (2024) - [i5]Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang, Fei Richard Yu, Fei Ma, Chun Yuan:
Learn To Learn More Precisely. CoRR abs/2408.04590 (2024) - [i4]Haowen Hou, Fei Ma, Binwen Bai, Xinxin Zhu, Fei Richard Yu:
Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression. CoRR abs/2408.15491 (2024) - [i3]Zixuan Guo, Yifan Xie, Weijing Xie, Peng Huang, Fei Ma, Fei Richard Yu:
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting. CoRR abs/2409.01581 (2024) - [i2]Lingyu Xiong, Xize Cheng, Jintao Tan, Xianjia Wu, Xiandong Li, Lei Zhu, Fei Ma, Minglei Li, Huang Xu, Zhihu Hu:
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing. CoRR abs/2409.03605 (2024) - 2023
- [c12]Minghao Liu, Haiyi Liu, Sirui Zhao, Fei Ma, Minglei Li, Zonghong Dai, Hao Wang, Tong Xu, Enhong Chen:
STAN: Spatial-Temporal Awareness Network for Temporal Action Detection. MMSports@MM 2023: 161-165 - 2022
- [c11]Fei Ma, Weixi Gu, Shiguang Ni, Lin Zhang:
Poster Abstract: Representation Learning from Multimodal Sensor Data with Maximally Correlated Autoencoders. IPSN 2022: 513-514 - 2021
- [c10]Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang:
Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. ICASSP 2021: 4320-4324 - [c9]Fei Ma, Shao-Lun Huang, Lin Zhang:
An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. ICME 2021: 1-6 - [c8]Sikai Yin, Fei Ma, Shao-Lun Huang:
A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. SMC 2021: 3152-3157 - [i1]Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR abs/2108.10513 (2021) - 2020
- [c7]Yihua Liang, Fei Ma, Yang Li, Shao-Lun Huang:
Person Recognition with HGR Maximal Correlation on Multimodal Data. ICPR 2020: 2188-2195
2010 – 2019
- 2019
- [c6]Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, Lin Zhang:
An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. ICME 2019: 1144-1149 - [c5]Feng Zhao, Fei Ma, Yang Li, Shao-Lun Huang, Lin Zhang:
Info-Detection: An Information-Theoretic Approach to Detect Outlier. ICONIP (5) 2019: 489-496 - [c4]Hanling Wang, Mingyang Li, Fei Ma, Shao-Lun Huang, Lin Zhang:
Unsupervised anomaly detection via generative adversarial networks: poster abstract. IPSN 2019: 313-314 - 2018
- [c3]Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang:
Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. SenSys 2018: 363-364 - [c2]Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang:
Multimodal Emotion Recognition by extracting common and modality-specific information. SenSys 2018: 396-397 - [c1]Weixi Gu, Yue Zhang, Fei Ma, Khalid M. Mosalam, Lin Zhang, Shiguang Ni:
Real-Time Emotion Detection via E-See. SenSys 2018: 420-421
Coauthor Index
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last updated on 2025-01-08 20:32 CET by the dblp team
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