research
∙
02/28/2023
Representation Disentaglement via Regularization by Identification
This work focuses on the problem of learning disentangled representation...
share
research
∙
02/25/2023
Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry
Access to highly detailed models of heterogeneous forests from the near ...
research
∙
10/26/2021
Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data
This work tests whether deep neural networks can clean laser induced bre...
research
∙
12/03/2020
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
This work proposes a spectral convolutional neural network (CNN) operati...
research
∙
04/22/2020
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Resolution of the complex problem of image retrieval for diagram images ...
research
∙
04/12/2020
Learning Spatial Relationships between Samples of Image Shapes
Many applications including image based classification and retrieval of ...
research
∙
03/28/2018
Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution
In this work we propose a novel motion guided method for automatic and t...
research
∙
10/05/2017
Ground Edge based LIDAR Localization without a Reflectivity Calibration for Autonomous Driving
In this work we propose an alternative formulation to the problem of gro...
research
∙
11/28/2016
