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20142024
most citedGenerative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

64 citations · 162 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Are handcrafted filters helpful for attributing AI-generated images?

Jialiang Li, Haoyue Wang, Sheng Li +3

Recently, a vast number of image generation models have been proposed, which raises concerns regarding the misuse of these artificial intelligence (AI) techniques for generating fa…

cs.CV2024

360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes

Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos +1

In this paper, we address the challenging source-free unsupervised domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation, given only a pinhole image pre-trained…

cs.CV20243 cited

Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment

Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos +1

Unsupervised visible-infrared person re-identification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments wit…

cs.CV2024

Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation

Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos +1

This paper addresses an interesting yet challenging problem -- source-free unsupervised domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation -- given only a pin…

cs.CR20248 cited

Large language models in 6G security: challenges and opportunities

Tri Nguyen, Huong Nguyen, Ahmad Ijaz +3

The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. How…