Search Results for author:
Found 9 papers, 4 papers with code
Hyperspectral Neural Radiance Fields
Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples.
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
In this paper, we address the task of predicting the location of inner defects from the outer shape of the logs.
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
Most of the research in content-based image retrieval (CBIR) focus on developing robust feature representations that can effectively retrieve instances from a database of images that are visually similar to a query.
Object-Guided Day-Night Visual Localization in Urban Scenes
Direct matching of local features is sensitive to significant changes in illumination.
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
In this paper, we propose to account for it by partitioning the classes with high variance based on the visual features.
A Survey On 3D Inner Structure Prediction from its Outer Shape
Our goal is to design neural-network-based methods to predict the internal density of the tree from its external bark shape.
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
It is built from the wavelet transforms of the image semantic edges.
ELF: Embedded Localisation of Features in pre-trained CNN
These results show that a CNN trained on a standard task embeds feature location information that is as relevant as when the CNN is specifically trained for feature detection.
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
Deep learning generates state-of-the-art semantic segmentation provided that a large number of images together with pixel-wise annotations are available.
