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Kangli Zeng

2 accepted papers

2023

Structure-Aware Multi-Feature Co-Learning for Dual Branch Face Super Resolution

ICASSP 2023accepted

Recently, face super-resolution has achieved pleasing performance. Numerous works have shown that texture features and structural information play a crucial role for super-resolution reconstruction. However, effective co-learning of both has been limiting the performance improvement of existing stat…

Cited by 0SourceScholar
2021

When Face Recognition Meets Occlusion: A New Benchmark

ICASSP 2021accepted

The existing face recognition datasets usually lack occlusion samples, which hinders the development of face recognition. Especially during the COVID-19 coronavirus epidemic, wearing a mask has become an effective means of preventing the virus spread. Traditional CNN-based face recognition models tr…

Cited by 0SourceScholar