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BlindPSNR: A No-Reference Fidelity Predictor for Low-Light Image Enhancement
Mingzhe Lyu, Jinqiang Cui, Hong Zhang
Low-light image enhancement (LLIE) methods involve tunable parameters that are typically fixed, often leading to performance degradation when applied across scenes. Manually select…
Scene-Adaptive Nonlinear Tone Curves for Pseudo Ground-Truth Generation in Low-Light 3D Gaussian Splatting
Mingzhe Lyu, Jinqiang Cui, Hong Zhang
Low-light novel view synthesis is challenging because dark multi-view images contain noise, weak structural detail, and compressed dynamic range. Recent 3D Gaussian Splatting (3DGS…
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
Bingxi Liu, Calvin Chen, Junhao Li +5
The Vision Transformer (ViT) model has long struggled with the challenge of quadratic complexity, a limitation that becomes especially critical in unmanned aerial vehicle (UAV) tra…
EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition
Bingxi Liu, Hao Chen, Shiyi Guo +3
Visual Place Recognition (VPR) is a scene-oriented image retrieval problem in computer vision in which re-ranking based on local features is commonly employed to improve performanc…
SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models
Bingxi Liu, Pengju Zhang, Li He +5
Recent visual place recognition (VPR) approaches have leveraged foundation models (FM) and introduced novel aggregation techniques. However, these methods have failed to fully expl…
MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration
Bingxi Liu, An Liu, Hao Chen +4
Point cloud registration (PCR) is a fundamental task in 3D computer vision and robotics. Most learning-based PCR methods rely on Transformer architectures, which suffer from quadra…
TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and Verification
Huaqi Tao, Bingxi Liu, Calvin Chen +4
Visual Place Recognition (VPR) is a crucial capability for long-term autonomous robots, enabling them to identify previously visited locations using visual information. However, ex…
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Bingxi Liu, Yiqun Wang, Huaqi Tao +5
Visual Place Recognition (VPR) is crucial in computer vision, aiming to retrieve database images similar to a query image from an extensive collection of known images. However, lik…