139 citations · 146 across the 10 of their papers we have counts for
11 papers · 1 filter
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization
Yejun Zhang, Shuzhe Wang, Juho Kannala
Visual localization involves estimating the 6-degree-of-freedom (6-DoF) camera pose within a known scene. A critical step in this process is identifying pixel-to-point corresponden…
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Siyan Dong, Shuzhe Wang, Shaohui Liu +4
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera po…
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Yihao Wang, Marcus Klasson, Matias Turkulainen +3
Gaussian splatting enables fast novel view synthesis in static 3D environments. However, reconstructing real-world environments remains challenging as distractors or occluders brea…
Gaussian Splatting in Mirrors: Reflection-Aware Rendering via Virtual Camera Optimization
Zihan Wang, Shuzhe Wang, Matias Turkulainen +2
Recent advancements in 3D Gaussian Splatting (3D-GS) have revolutionized novel view synthesis, facilitating real-time, high-quality image rendering. However, in scenarios involving…
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi +2
Camera relocalization relies on 3D models of the scene with a large memory footprint that is incompatible with the memory budget of several applications. One solution to reduce the…
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching
Shuzhe Wang, Juho Kannala, Daniel Barath
Matching 2D keypoints in an image to a sparse 3D point cloud of the scene without requiring visual descriptors has garnered increased interest due to its low memory requirements, i…
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +4
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local d…
Visual Localization via Few-Shot Scene Region Classification
Siyan Dong, Shuzhe Wang, Yixin Zhuang +3
Visual (re)localization addresses the problem of estimating the 6-DoF (Degree of Freedom) camera pose of a query image captured in a known scene, which is a key building block of m…
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li +2
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks. However, most of them require per-pixel…
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +2
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component. Directly regressing camera pose/3D scene…
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
Xiaotian Li, Shuzhe Wang, Yi Zhao +2
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local d…