Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Alain Pagani"'
Publikováno v:
IEEE Access, Vol 10, Pp 120781-120791 (2022)
Depth completion involves recovering a dense depth map from a sparse map and an RGB image. Recent approaches focus on utilizing color images as guidance images to recover depth at invalid pixels. However, color images alone are not enough to provide
Externí odkaz:
https://doaj.org/article/4cdc388f284b4efb88c90b9fb2cd5870
Autor:
Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Sensors, Vol 22, Iss 21, p 8583 (2022)
Object detection is a computer vision task that involves localisation and classification of objects in an image. Video data implicitly introduces several challenges, such as blur, occlusion and defocus, making video object detection more challenging
Externí odkaz:
https://doaj.org/article/6bd2a2b025564961a015ea8db4f7f11d
Autor:
Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10578 (2022)
In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain. These backbones and subsequent networks are designed for object detection in
Externí odkaz:
https://doaj.org/article/be4f88fa8a5841518cdb3ef2e5e1e063
Autor:
Muhammad Ahmed Ullah Khan, Danish Nazir, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Sensors, Vol 22, Iss 18, p 6969 (2022)
Depth maps produced by LiDAR-based approaches are sparse. Even high-end LiDAR sensors produce highly sparse depth maps, which are also noisy around the object boundaries. Depth completion is the task of generating a dense depth map from a sparse dept
Externí odkaz:
https://doaj.org/article/32fa545fb49443c98471c4958d010b7e
Autor:
Tahira Shehzadi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9398 (2022)
Research has been growing on object detection using semi-supervised methods in past few years. We examine the intersection of these two areas for floor-plan objects to promote the research objective of detecting more accurate objects with less labele
Externí odkaz:
https://doaj.org/article/77f8a4a06d6e4cee82a99343d56b913b
Autor:
Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Journal of Imaging, Vol 8, Iss 9, p 225 (2022)
Performing 3D reconstruction from a single 2D input is a challenging problem that is trending in literature. Until recently, it was an ill-posed optimization problem, but with the advent of learning-based methods, the performance of 3D reconstruction
Externí odkaz:
https://doaj.org/article/ca046d0871094063a013bfc2368d0ec4
Autor:
Shivam Naik, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7486 (2022)
Page object detection in scanned document images is a complex task due to varying document layouts and diverse page objects. In the past, traditional methods such as Optical Character Recognition (OCR)-based techniques have been employed to extract t
Externí odkaz:
https://doaj.org/article/454cc49c35694bc0984b50e77af172ce
Autor:
Goutham Kallempudi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Future Internet, Vol 14, Iss 6, p 176 (2022)
The graphical page object detection classifies and localizes objects such as Tables and Figures in a document. As deep learning techniques for object detection become increasingly successful, many supervised deep neural network-based methods have bee
Externí odkaz:
https://doaj.org/article/48fb78fccca244369edb3e862c1bc231
Publikováno v:
Sensors, Vol 22, Iss 10, p 3703 (2022)
In recent years, due to the advancements in machine learning, object detection has become a mainstream task in the computer vision domain. The first phase of object detection is to find the regions where objects can exist. With the improvements in de
Externí odkaz:
https://doaj.org/article/4aff831dc7d54700b498d3bd4a1446de
Autor:
Shrinidhi Kanchi, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1457 (2022)
Document classification is one of the most critical steps in the document analysis pipeline. There are two types of approaches for document classification, known as image-based and multimodal approaches. Image-based document classification approaches
Externí odkaz:
https://doaj.org/article/ebb33c91e29346018e0fcac16c4d0705