Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tragakis, Athanasios"'
Autor:
Kaul, Chaitanya, Mitchell, Kevin J., Kassem, Khaled, Tragakis, Athanasios, Kapitany, Valentin, Starshynov, Ilya, Villa, Federica, Murray-Smith, Roderick, Faccio, Daniele
In the field of detection and ranging, multiple complementary sensing modalities may be used to enrich the information obtained from a dynamic scene. One application of this sensor fusion is in public security and surveillance, whose efficacy and pri
Externí odkaz:
http://arxiv.org/abs/2408.00816
Autor:
Tragakis, Athanasios, Aversa, Marco, Kaul, Chaitanya, Murray-Smith, Roderick, Faccio, Daniele
In this work, we introduce Pixelsmith, a zero-shot text-to-image generative framework to sample images at higher resolutions with a single GPU. We are the first to show that it is possible to scale the output of a pre-trained diffusion model by a fac
Externí odkaz:
http://arxiv.org/abs/2406.07251
Autor:
Tragakis, Athanasios, Liu, Qianying, Kaul, Chaitanya, Roy, Swalpa Kumar, Dai, Hang, Deligianni, Fani, Murray-Smith, Roderick, Faccio, Daniele
We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its state-of-the-art performance. We replace the self-attention mechanism with a combination of global-local
Externí odkaz:
http://arxiv.org/abs/2403.00396
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3660-3669
We propose a novel transformer model, capable of segmenting medical images of varying modalities. Challenges posed by the fine grained nature of medical image analysis mean that the adaptation of the transformer for their analysis is still at nascent
Externí odkaz:
http://arxiv.org/abs/2206.00566