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Zuotao Ning

2 accepted papers

2025

MIXVPR++: Enhanced Visual Place Recognition With Hierarchical-Region Feature-Mixer and Adaptive Gabor Texture Fuser

RA-L 2025

Visual Place Recognition (VPR) is crucial for various computer vision and robotics applications. Traditional VPR techniques relying on handcrafted features, have been enhanced by using Convolutional Neural Networks (CNNs). Recently, MixVPR has set new benchmarks in VPR by using advanced feature aggr

Cited by 2SourceScholar
2024

Efficient Saliency Encoding for Visual Place Recognition: Introducing the Lightweight Pooling-Centric Saliency-Aware VPR Method

RA-L 2024

The paper introduces a novel Visual Place Recognition (VPR) method called Lightweight Pooling-centric Saliency-aware VPR (LPS-VPR), a high-performance VPR method capable of exploiting saliency information without computational burden. The key contribution of the method is a pooling-based saliency en

Cited by 6SourceScholar