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- P-TAME Public
Scripts and trained models from our paper: M. Ntrougkas, V. Mezaris, I. Patras, "P-TAME: Explain Any Image Classifier with Trained Perturbations", IEEE Open Journal of Signal Processing, 2025. DOI:10.1109/OJSP.2025.3568756.
IDT-ITI/P-TAME’s past year of commit activity - Text-XAI-Video-Summaries Public
Code, models and data for our paper: Th. Eleftheriadis, E. Apostolidis, V. Mezaris, "An Experimental Study on Generating Plausible Textual Explanations for Video Summarization", IEEE CBMI 2025, Special Session on Explainability in Multimedia Analysis (ExMA)
IDT-ITI/Text-XAI-Video-Summaries’s past year of commit activity - TSalV360 Public
Code, models and data for our paper: I. Kontostathis, E. Apostolidis, V. Mezaris, "TSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos", IEEE CBMI 2025, Special Session on Multimedia Indexing for XR (MmIXR)
IDT-ITI/TSalV360’s past year of commit activity - XAI-Video-Summaries Public
Code, models and data for our paper: K. Tsigos, E. Apostolidis, V. Mezaris, "An Integrated Framework for Multi-Granular Explanation of Video Summarization", Frontiers in Signal Processing, vol. 4, 2024
IDT-ITI/XAI-Video-Summaries’s past year of commit activity - SD-VSum Public
PyTorch Implementation of SD-VSum and S-VideoXum Dataset Distribution from "SD-VSum: A Method and Dataset for Script-Driven Video Summarization" (ACM Multimedia 2025)
IDT-ITI/SD-VSum’s past year of commit activity - LMM-CLIP-meme Public
Code and model from our paper: M. Tzelepi, V. Mezaris, "Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge", Multimodal Learning and Applications Workshop (MULA) at CVPR 2025, Nashville, TN, USA, June 2025.
IDT-ITI/LMM-CLIP-meme’s past year of commit activity - VidCtx Public
Code for our paper: A. Goulas, V. Mezaris, I. Patras, "VidCtx: Context-aware Video Question Answering with Image Models", IEEE Int. Conf. on Multimedia and Expo (ICME 2025), Nantes, France, June-July 2025.
IDT-ITI/VidCtx’s past year of commit activity - OAT Public
Code and model from our paper: M. Tzelepi, V. Mezaris, "Online Anchor-based Training for Image Classification Tasks", Proc. 2024 IEEE Int. Conf. on Image Processing (ICIP 2024), Abu Dhabi, UAE, pp. 1099-1105, Oct. 2024. DOI:10.1109/ICIP51287.2024.10648148
IDT-ITI/OAT’s past year of commit activity - Adv-XAI-Deepfakes Public
Code, model and data for our paper: K. Tsigos, E. Apostolidis, V. Mezaris, "Improving the Perturbation-Based Explanation of Deepfake Detectors" Through the Use of Adversarially-Generated Samples", Proc. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025)
IDT-ITI/Adv-XAI-Deepfakes’s past year of commit activity
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