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06/14/2023
How to estimate carbon footprint when training deep learning models? A guide and review
Machine learning and deep learning models have become essential in the r...
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04/06/2023
Assessing VoD pressure on network power consumption
Assessing the energy consumption or carbon footprint of data distributio...
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09/14/2022
A patch-based architecture for multi-label classification from single label annotations
In this paper, we propose a patch-based architecture for multi-label cla...
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05/04/2022
An Analysis of Generative Methods for Multiple Image Inpainting
Image inpainting refers to the restoration of an image with missing regi...
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04/06/2022
Analysis of Different Losses for Deep Learning Image Colorization
Image colorization aims to add color information to a grayscale image in...
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04/06/2022
Influence of Color Spaces for Deep Learning Image Colorization
Colorization is a process that converts a grayscale image into a color o...
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10/22/2021
Unraveling the hidden environmental impacts of AI solutions for environment
In the past ten years artificial intelligence has encountered such drama...
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10/08/2020
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
We present an approach for detecting and estimating the 3D poses of obje...
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05/26/2020
Multi-task deep learning for image segmentation using recursive approximation tasks
Fully supervised deep neural networks for segmentation usually require a...
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10/04/2019
Variational Osmosis for Non-linear Image Fusion
We propose a new variational model for nonlinear image fusion. Our appro...
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08/30/2019
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
We propose LU-Net -- for LiDAR U-Net, a new method for the semantic segm...
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06/20/2019
A multi-task U-net for segmentation with lazy labels
The need for labour intensive pixel-wise annotation is a major limitatio...
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05/21/2019
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
This paper proposes RIU-Net (for Range-Image U-Net), the adaptation of a...
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03/17/2019
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Superpixels have become very popular in many computer vision application...
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09/12/2007