Pinned Repositories
360-VSumm
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.
CA-SUM-360
A PyTorch implementation of our method from "An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos", Proc. MMM 2024
Lightweight-Face-Detector-Pruning
Code and pruned models for our paper: K. Gkrispanis, N. Gkalelis, V. Mezaris, "Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion", Proc. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2024), Waikoloa, Hawaii, USA, Jan. 2024. Repository updated in April 2024.
MMFusion-IML
Code and trained models for our paper: K. Triaridis, V. Mezaris, "Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization", Proc. 30th Int. Conf. on MultiMedia Modeling (MMM 2024), Amsterdam, NL, Jan.-Feb. 2024.
T-TAME
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.
Visual-Audio-Discrepancy-Detection
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)
XAI-Deepfakes
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.
Intelligent Digital Transformation Laboratory's Repositories
IDT-ITI/MMFusion-IML
Code and trained models for our paper: K. Triaridis, V. Mezaris, "Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization", Proc. 30th Int. Conf. on MultiMedia Modeling (MMM 2024), Amsterdam, NL, Jan.-Feb. 2024.
IDT-ITI/Lightweight-Face-Detector-Pruning
Code and pruned models for our paper: K. Gkrispanis, N. Gkalelis, V. Mezaris, "Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion", Proc. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2024), Waikoloa, Hawaii, USA, Jan. 2024. Repository updated in April 2024.
IDT-ITI/CA-SUM-360
A PyTorch implementation of our method from "An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos", Proc. MMM 2024
IDT-ITI/XAI-Deepfakes
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/360-VSumm
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/T-TAME
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/Visual-Audio-Discrepancy-Detection
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)