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Found 16 papers, 6 papers with code
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation
We introduce ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research in point cloud semantic segmentation.
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
3D Gaussian splatting, a novel differentiable rendering technique, has achieved state-of-the-art novel view synthesis results with high rendering speeds and relatively low training times.
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
In this work, we present a new hierarchical scene coordinate network to predict pixel scene coordinates in a coarse-to-fine manner from a single RGB image.
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task
Robustness of different pattern recognition methods is one of the key challenges in autonomous driving, especially when driving in the high variety of road environments and weather conditions, such as gravel roads and snowfall.
Digging Into Self-Supervised Learning of Feature Descriptors
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks.
Continual Learning for Image-Based Camera Localization
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component.
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
Autonomous driving is challenging in adverse road and weather conditions in which there might not be lane lines, the road might be covered in snow and the visibility might be poor.
Image Stylization for Robust Features
Local features that are robust to both viewpoint and appearance changes are crucial for many computer vision tasks.
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
In contrast to the previous art, we, for the first time, propose to estimate CTR with uncertainty bounds.
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks
This paper addresses the challenge of localization of anatomical landmarks in knee X-ray images at different stages of osteoarthritis (OA).
Geometric Image Correspondence Verification by Dense Pixel Matching
The main contribution is a geometric correspondence verification approach for re-ranking a shortlist of retrieved database images based on their dense pair-wise matching with the query image at a pixel level.
DGC-Net: Dense Geometric Correspondence Network
This paper addresses the challenge of dense pixel correspondence estimation between two images.
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Dense Pixel Correspondence Estimation
Optical Flow Estimation
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Image Patch Matching Using Convolutional Descriptors with Euclidean Distance
In this work we propose a neural network based image descriptor suitable for image patch matching, which is an important task in many computer vision applications.
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network
The camera location for the query image is obtained via triangulation from two relative translation estimates using a RANSAC based approach.
Image-based Localization using Hourglass Networks
In this paper, we propose an encoder-decoder convolutional neural network (CNN) architecture for estimating camera pose (orientation and location) from a single RGB-image.
Relative Camera Pose Estimation Using Convolutional Neural Networks
This paper presents a convolutional neural network based approach for estimating the relative pose between two cameras.
