Mohamed Amine Marnissi

According to our database, Mohamed Amine Marnissi authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Corrigendum to "Improved domain adaptive object detector via adversarial feature learning" [Comput. Vis. Image Underst. 230 (2023) 103660].

Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Comput. Vis. Image Underst., December, 2023

Improved domain adaptive object detector via adversarial feature learning.

Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Comput. Vis. Image Underst., April, 2023

Feature distribution alignments for object detection in the thermal domain.

Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Vis. Comput., March, 2023

Revolutionizing Thermal Imaging: GAN-Based Vision Transformers for Image Enhancement.

Mohamed Amine Marnissi

Proceedings of the IEEE International Conference on Image Processing, 2023

GAN-based Vision Transformer for High-Quality Thermal Image Enhancement.

Mohamed Amine Marnissi, Abir Fathallah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised thermal-to-visible domain adaptation method for pedestrian detection.

Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Pattern Recognit. Lett., 2022

Bispectral Pedestrian Detection Augmented with Saliency Maps using Transformer.

Mohamed Amine Marnissi, Ikram Hattab, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Beyond the Visible Spectrum: Is Person Identity Well Preserved in Thermal Cameras?

Afef Ben Said, Hajer Fradi, Dorra Lamouchi, Mohamed Amine Marnissi

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

2020

Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection.

Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

On the Discriminative Power of Learned vs. Hand-Crafted Features for Crowd Density Analysis.

Mohamed Amine Marnissi, Hajer Fradi, Jean-Luc Dugelay

Proceedings of the International Joint Conference on Neural Networks, 2019