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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…
FLM-Occ: Feed-forward Likelihood Maximization for Efficient Indoor Occupancy Prediction
Guangcheng Chen, Lihuang Fang, Huaqi Tao +3
Recent indoor occupancy prediction methods adopt Gaussian primitives as a sparse 3D representation for computational efficiency. However, their training relies on voxel classificat…
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…
Hierarchical Visual Relocalization with Nearest View Synthesis from Feature Gaussian Splatting
Huaqi Tao, Bingxi Liu, Guangcheng Chen +3
Visual relocalization is a fundamental task in the field of 3D computer vision, estimating a camera's pose when it revisits a previously known scene. While point-based hierarchical…
Learnable Query Aggregation with KV Routing for Cross-view Geo-localisation
Hualin Ye, Bingxi Liu, Jixiang Du +3
Cross-view geo-localisation (CVGL) aims to estimate the geographic location of a query image by matching it with images from a large-scale database. However, the significant view-p…
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…