Ghent University Academic Bibliography

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A deep learning approach for analyzing visual and textual content in Tintin comics

Lukas De Kerpel (UGent) , Toon Van Camp (UGent) , Azat Şaşkal and Dries Benoit (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.108-109
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- Journal Article
- A2
- open access
Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings

Clea Parcerisas (UGent) , Elena Schall, Kees te Velde, Dick Botteldooren (UGent) , Paul Devos (UGent) and Elisabeth Debusschere

(2024) FRONTIERS IN REMOTE SENSING. 5.
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Gradient calibration loss for fast and accurate oriented bounding box regression

Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Junjie Song and Aleksandra Pizurica (UGent)

(2024) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 62.
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- Journal Article
- A1
- open access
High-dynamic-range tone mapping in intelligent automotive systems

Ivana Shopovska (UGent) , Ana Stojkovic (UGent) , Jan Aelterman (UGent) , David Van Hamme (UGent) and Wilfried Philips (UGent)

(2023) SENSORS. 23(12).
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- Conference Paper
- C1
- open access
CenDerNet : center and curvature representations for render-and-compare 6D pose estimation

Peter De Roovere (UGent) , Rembert Daems (UGent) , Jonathan Croenen, Taoufik Bourgana, Joris de Hoog and Francis wyffels (UGent)

(2023) Computer Vision : ECCV 2022 Workshops : proceedings, part VIII. In Lecture notes in computer science 13808. p.97-111
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- Journal Article
- A1
- open access
Deep learning tone-mapping and demosaicing for automotive vision systems

Ana Stojkovic (UGent) , Jan Aelterman (UGent) , David Van Hamme (UGent) , Ivana Shopovska (UGent) and Wilfried Philips (UGent)

(2023) SENSORS. 23(20).
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- Journal Article
- A1
- open access
A flexible deep learning framework for thermographic inspection of composites

Zongfei Tong, Liangliang Cheng, Shejuan Xie and Mathias Kersemans (UGent)

(2023) NDT & E INTERNATIONAL. 139.
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Bayesian optimisation of existing object detection methods for new contexts

Tim Willems (UGent) , Jan Aelterman (UGent) and David Van Hamme (UGent)

(2023) 2023 IEEE SENSORS. In IEEE Sensors
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- Conference Paper
- P1
- open access
Self-supervised learning as a means to reduce the need for labeled data in medical image analysis

Marin Benčević (UGent) , Marija Habijan, Irena Galić and Aleksandra Pizurica (UGent)

(2022) 2022 30th European Signal Processing Conference (EUSIPCO). In European Signal Processing Conference p.1328-1332
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- Journal Article
- A1
- open access
Anchor pruning for object detection

Maxim Bonnaerens (UGent) , Matthias Freiberger (UGent) and Joni Dambre (UGent)

(2022) COMPUTER VISION AND IMAGE UNDERSTANDING. 221.

Academic Bibliography

A deep learning approach for analyzing visual and textual content in Tintin comics

Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings

Gradient calibration loss for fast and accurate oriented bounding box regression

High-dynamic-range tone mapping in intelligent automotive systems

CenDerNet : center and curvature representations for render-and-compare 6D pose estimation

Deep learning tone-mapping and demosaicing for automotive vision systems

A flexible deep learning framework for thermographic inspection of composites

Bayesian optimisation of existing object detection methods for new contexts

Self-supervised learning as a means to reduce the need for labeled data in medical image analysis

Anchor pruning for object detection

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