Mengyi Liu

Orcid: 0009-0008-9149-3272

According to our database1, Mengyi Liu authored at least 31 papers between 2009 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
Multi-stage information diffusion for joint depth and surface normal estimation.
Pattern Recognit., September, 2023

LVSnake: Accurate and robust left ventricle contour localization for myocardial infarction detection.
Biomed. Signal Process. Control., August, 2023

NALMO: Transforming Queries in Natural Language for Moving Objects Databases.
GeoInformatica, July, 2023

Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease.
npj Digit. Medicine, 2023

NALSD: A Natural Language Interface for Spatial Databases.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023

NALSpatial: An Effective Natural Language Transformation Framework for Queries over Spatial Data.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2021
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos.
IEEE Signal Process. Lett., 2021

Distortion-Aware Monocular Depth Estimation for Omnidirectional Images.
IEEE Signal Process. Lett., 2021

Binary Convolutional Neural Networks for Facial Action Unit Detection.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
A comprehensive survey on automatic facial action unit analysis.
Vis. Comput., 2020

Distortion-aware Monocular Depth Estimation for Omnidirectional Images.
CoRR, 2020

Learning Local Features with Context Aggregation for Visual Localization.
CoRR, 2020

2018
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline.
CoRR, 2018

2017
Terminology Translation Error Identification and Correction.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Optimizing Topic Distributions of Descriptions for Image Description Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

2016
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition.
IEEE Trans. Image Process., 2016

Video modeling and learning on Riemannian manifold for emotion recognition in the wild.
J. Multimodal User Interfaces, 2016

Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition.
Comput. Vis. Image Underst., 2016

Topic Model Based Adaptation Data Selection for Domain-Specific Machine Translation.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Image-Image Search for Comparable Corpora Construction.
Proceedings of the Sixth Workshop on Hybrid Approaches to Translation, 2016

Skipping Word: A Character-Sequential Representation based Framework for Question Answering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
AU-inspired Deep Networks for Facial Expression Feature Learning.
Neurocomputing, 2015

Learning Mid-level Words on Riemannian Manifold for Action Recognition.
CoRR, 2015

Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Partial least squares regression on grassmannian manifold for emotion recognition.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

AU-aware Deep Networks for facial expression recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Enhancing Expression Recognition in the Wild with Unlabeled Reference Data.
Proceedings of the Computer Vision, 2012

2009
The Composition of Shares and Corporate Performance: Evidence from Shenzhen Stock Market.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009


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