2 citations · 3 across the 21 of their papers we have counts for
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SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
Nikolaos Kaparinos, Vasileios Mezaris
Generative Adversarial Networks (GANs) achieve excellent performance in generative tasks, such as image super-resolution, but their computational requirements make difficult their…
SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets
Manolis Mylonas, Charalampia Zerva, Evlampios Apostolidis +1
In this work, we present a method and two large-scale datasets for Script-Driven Multimodal Video Summarization. The proposed method, SD-MVSum, builds on our earlier SD-VSum method…
An Experimental Study on Generating Plausible Textual Explanations for Video Summarization
Thomas Eleftheriadis, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we present our experimental study on generating plausible textual explanations for the outcomes of video summarization. For the needs of this study, we extend an exi…
TSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we deal with the task of text-driven saliency detection in 360-degrees videos. For this, we introduce the TSV360 dataset which includes 16,000 triplets of ERP frames…
SD-VSum: A Method and Dataset for Script-Driven Video Summarization
Manolis Mylonas, Evlampios Apostolidis, Vasileios Mezaris
In this work, we introduce the task of script-driven video summarization, which aims to produce a summary of the full-length video by selecting the parts that are most relevant to…
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
Maria Tzelepi, Vasileios Mezaris
Memes have become a dominant form of communication in social media in recent years. Memes are typically humorous and harmless, however there are also memes that promote hate speech…
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we introduce the idea of using adversarially-generated samples of the input images that were classified as deepfakes by a detector, to form perturbation masks for in…
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
Nikolaos Kaparinos, Vasileios Mezaris
Face detection is a computer vision application that increasingly demands lightweight models to facilitate deployment on devices with limited computational resources. Neural networ…