Mengran Gou

Orcid: 0000-0003-3250-2139

According to our database1, Mengran Gou authored at least 12 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing.
Proceedings of the Computer Vision - ECCV 2022, 2022

2019
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
MoNet: Moments Embedding Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
From the Lab to the Real World: Re-identification in an Airport Camera Network.
IEEE Trans. Circuits Syst. Video Technol., 2017

moM: Mean of Moments Feature for Person Re-identification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.
CoRR, 2016

Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Person Re-identification in Appearance Impaired Scenarios.
Proceedings of the British Machine Vision Conference 2016, 2016

2014
Person Re-Identification Using Kernel-Based Metric Learning Methods.
Proceedings of the Computer Vision - ECCV 2014, 2014


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