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Mengyi Liu
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2020 – today
- 2024
- [j13]Xiaoping Huang, Fei Huang, Jiahui Hu, Huanyu Zheng, Mengyi Liu, Zihao Dou, Qing Jiang:
Automatic Face Detection of Farm Images Based on an Enhanced Lightweight Deep Learning Model. Int. J. Pattern Recognit. Artif. Intell. 38(12): 2456009:1-2456009:19 (2024) - [j12]Mengyi Liu, Xianhui Qin:
Reply to: Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease: need more evidence. npj Digit. Medicine 7(1) (2024) - 2023
- [j11]Yuxuan Li, Wenkai Lu, Patrice Monkam, Zhenhui Zhu, Weichun Wu, Mengyi Liu:
LVSnake: Accurate and robust left ventricle contour localization for myocardial infarction detection. Biomed. Signal Process. Control. 85: 105076 (2023) - [j10]Xieyang Wang, Mengyi Liu, Jianqiu Xu, Hua Lu:
NALMO: Transforming Queries in Natural Language for Moving Objects Databases. GeoInformatica 27(3): 427-460 (2023) - [j9]Mengyi Liu, Xiaoqin Gan, Ziliang Ye, Yuanyuan Zhang, Panpan He, Chun Zhou, Sisi Yang, Yanjun Zhang, Xianhui Qin:
Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease. npj Digit. Medicine 6 (2023) - [j8]Zhiheng Fu, Siyu Hong, Mengyi Liu, Hamid Laga, Mohammed Bennamoun, Farid Boussaïd, Yulan Guo:
Multi-stage information diffusion for joint depth and surface normal estimation. Pattern Recognit. 141: 109660 (2023) - [c16]Mengyi Liu, Xieyang Wang, Jianqiu Xu, Hua Lu:
NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data. SIGSPATIAL/GIS 2023: 57:1-57:4 - [c15]Mengyi Liu, Xieyang Wang, Jianqiu Xu:
NALSD: A Natural Language Interface for Spatial Databases. SSTD 2023: 175-179 - 2021
- [j7]Hong-Xiang Chen, Kunhong Li, Zhiheng Fu, Mengyi Liu, Zonghao Chen, Yulan Guo:
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images. IEEE Signal Process. Lett. 28: 334-338 (2021) - [j6]Mengyi Liu, Shuhui Wang, Yulan Guo, Yuan He, Hui Xue:
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos. IEEE Signal Process. Lett. 28: 832-836 (2021) - [c14]Mengyi Liu, Fei Wan, Ruicong Zhi:
Binary Convolutional Neural Networks for Facial Action Unit Detection. ICIG (2) 2021: 275-287 - 2020
- [j5]Ruicong Zhi, Mengyi Liu, Dezheng Zhang:
A comprehensive survey on automatic facial action unit analysis. Vis. Comput. 36(5): 1067-1093 (2020) - [i6]Siyu Hong, Kunhong Li, Yongcong Zhang, Zhiheng Fu, Mengyi Liu, Yulan Guo:
Learning Local Features with Context Aggregation for Visual Localization. CoRR abs/2005.12880 (2020) - [i5]Hong-Xiang Chen, Kunhong Li, Yulan Guo, Zhiheng Fu, Mengyi Liu:
Distortion-aware Monocular Depth Estimation for Omnidirectional Images. CoRR abs/2010.08942 (2020)
2010 – 2019
- 2018
- [i4]Mengyi Liu, Xiaohui Xie, Hanning Zhou:
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline. CoRR abs/1806.00737 (2018) - 2017
- [c13]Jian Tang, Yu Hong, Mengyi Liu, Jiashuo Zhang, Jianmin Yao:
Optimizing Topic Distributions of Descriptions for Image Description Translation. NLPCC 2017: 293-304 - [c12]Mengyi Liu, Jian Tang, Yu Hong, Jianmin Yao:
Terminology Translation Error Identification and Correction. SMP 2017: 141-152 - 2016
- [j4]Mengyi Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition. Comput. Vis. Image Underst. 147: 95-101 (2016) - [j3]Mengyi Liu, Ruiping Wang, Shaoxin Li, Zhiwu Huang, Shiguang Shan, Xilin Chen:
Video modeling and learning on Riemannian manifold for emotion recognition in the wild. J. Multimodal User Interfaces 10(2): 113-124 (2016) - [j2]Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen:
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition. IEEE Trans. Image Process. 25(12): 5920-5932 (2016) - [c11]Lingxun Meng, Yan Li, Mengyi Liu, Peng Shu:
Skipping Word: A Character-Sequential Representation based Framework for Question Answering. CIKM 2016: 1869-1872 - [c10]Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, Heng Ji:
Image-Image Search for Comparable Corpora Construction. HyTra@COLING 2016: 16-25 - [c9]Liang Yao, Mengyi Liu, Yu Hong, Hao Liu, Jianmin Yao:
Topic Model Based Adaptation Data Selection for Domain-Specific Machine Translation. SMP 2016: 162-171 - [i3]Lingxun Meng, Yan Li, Mengyi Liu, Peng Shu:
Skipping Word: A Character-Sequential Representation based Framework for Question Answering. CoRR abs/1609.00565 (2016) - 2015
- [j1]Mengyi Liu, Shaoxin Li, Shiguang Shan, Xilin Chen:
AU-inspired Deep Networks for Facial Expression Feature Learning. Neurocomputing 159: 126-136 (2015) - [c8]Mengyi Liu, Xin Liu, Yan Li, Xilin Chen, Alexander G. Hauptmann, Shiguang Shan:
Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition. ICCV Workshops 2015: 274-279 - [i2]Mengyi Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Learning Mid-level Words on Riemannian Manifold for Action Recognition. CoRR abs/1511.04808 (2015) - [i1]Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen:
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition. CoRR abs/1511.05204 (2015) - 2014
- [c7]Mengyi Liu, Shaoxin Li, Shiguang Shan, Ruiping Wang, Xilin Chen:
Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis. ACCV (4) 2014: 143-157 - [c6]Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen:
Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition. CVPR 2014: 1749-1756 - [c5]Mengyi Liu, Ruiping Wang, Shaoxin Li, Shiguang Shan, Zhiwu Huang, Xilin Chen:
Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild. ICMI 2014: 494-501 - 2013
- [c4]Mengyi Liu, Shaoxin Li, Shiguang Shan, Xilin Chen:
AU-aware Deep Networks for facial expression recognition. FG 2013: 1-6 - [c3]Mengyi Liu, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen:
Partial least squares regression on grassmannian manifold for emotion recognition. ICMI 2013: 525-530 - 2012
- [c2]Mengyi Liu, Shaoxin Li, Shiguang Shan, Xilin Chen:
Enhancing Expression Recognition in the Wild with Unlabeled Reference Data. ACCV (2) 2012: 577-588
2000 – 2009
- 2009
- [c1]Mengyi Liu:
The Composition of Shares and Corporate Performance: Evidence from Shenzhen Stock Market. BIFE 2009: 777-781
Coauthor Index
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