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Repositories
- 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 - B-FPGM Public
Code and trained models for our paper: N. Kaparinos, V. Mezaris, "B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning", Proc. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025).
IDT-ITI/B-FPGM’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 - XAI-Deepfakes Public
Code, model and data for our paper: K. Tsigos, E. Apostolidis, S. Baxevanakis, S. Papadopoulos, V. Mezaris, "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", Proc. ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) at the ACM Int. Conf. on Multimedia Retrieval (ICMR’24), Thailand, June 2024.
IDT-ITI/XAI-Deepfakes’s past year of commit activity - T-TAME Public
Scripts and trained models from our paper: M. Ntrougkas, N. Gkalelis, V. Mezaris, "T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers", IEEE Access, 2024. DOI:10.1109/ACCESS.2024.3405788.
IDT-ITI/T-TAME’s past year of commit activity - 360-VSumm Public
Dataset and scripts for paper "A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods", Proc. 1st Int. Workshop on Video for Immersive Experiences (Video4IMX-2024) at ACM IMX 2024, Stockholm, Sweden, June 2024.
IDT-ITI/360-VSumm’s past year of commit activity - Visual-Audio-Discrepancy-Detection Public
Materials for our paper: K. Apostolidis, J. Abesser, L. Cuccovillo, V. Mezaris, "Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol", Proc. ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) at the ACM Int. Conf. on Multimedia Retrieval (ICMR’24)
IDT-ITI/Visual-Audio-Discrepancy-Detection’s past year of commit activity - CA-SUM-360 Public
A PyTorch implementation of our method from "An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos", Proc. MMM 2024
IDT-ITI/CA-SUM-360’s past year of commit activity
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