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09/01/2023
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Current 3D open-vocabulary scene understanding methods mostly utilize we...
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02/10/2023
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra
We introduce CGA-PoseNet, which uses the 1D-Up approach to Conformal Geo...
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11/03/2022
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Solar forecasting from ground-based sky images using deep learning model...
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06/07/2022
Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions
Integration of intermittent renewable energy sources into electric grids...
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11/29/2021
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Translational invariance induced by pooling operations is an inherent pr...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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09/26/2021
Singularities of serial robots: Identification and distance computation using geometric algebra
The singularities of serial robotic manipulators are those configuration...
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09/25/2021
Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra
This work addresses the inverse kinematics of serial robots using confor...
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08/05/2021
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
Regularization in convolutional neural networks (CNNs) is usually addres...
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08/05/2021
Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
The automated segmentation of cancer tissue in histopathology images can...
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04/26/2021
ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy
Efficient integration of solar energy into the electricity mix depends o...
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02/01/2021
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images – an in-depth Analysis
A number of industrial applications, such as smart grids, power plant op...
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12/02/2020
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications
Improving irradiance forecasting is critical to further increase the sha...
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10/02/2020
Pre-Training by Completing Point Clouds
There has recently been a flurry of exciting advances in deep learning m...
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05/22/2020
Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting
Despite the advances in the field of solar energy, improvements of solar...
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04/13/2018
The unreasonable effectiveness of the forget gate
Given the success of the gated recurrent unit, a natural question is whe...
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06/05/2017
Bayesian LSTMs in medicine
The medical field stands to see significant benefits from the recent adv...
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05/23/2017
What does an LSTM look for in classifying heartbeats?
Long short-term memory (LSTM) recurrent neural networks are renowned for...
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05/20/2014
Single camera pose estimation using Bayesian filtering and Kinect motion priors
Traditional approaches to upper body pose estimation using monocular vis...
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01/23/2013
ChESS - Quick and Robust Detection of Chess-board Features
Localization of chess-board vertices is a common task in computer vision...
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03/22/2002