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Li Huaqiu

2 accepted papers

2026

Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition

AAAI 2026technical

Gait recognition is emerging as a promising technology and an innovative field within computer vision, with a wide range of applications in remote human identification. However, existing methods typically rely on complex architectures to directly extract features from images and apply pooling operat

Cited by 0SourcePDFScholar
2025

Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios

ICLR 2025poster

Real-world low-light images often suffer from complex degradations such as local overexposure, low brightness, noise, and uneven illumination. Supervised methods tend to overfit to specific scenarios, while unsupervised methods, though better at generalization, struggle to model these degradations d…