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.
AC-SUM-GAN
A PyTorch Implementation of AC-SUM-GAN from "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization" (IEEE TCSVT 2021)
CA-SUM
A PyTorch Implementation of CA-SUM from "Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames", Proc. ACM ICMR 2022
PGL-SUM
A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization" (IEEE ISM 2021)
PoR-Summarization-Measure
A python implementation for computing the PoR metric for video summarization from "Performance over Random: A Robust Evaluation Protocol for Video Summarization Methods" (ACM MM 2020)
RL-DiVTS
A PyTorch Implementation of RL-DiVTS from "Selecting a Diverse Set of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning" (ΙΕΕΕ ICIP 2023)
SUM-GAN-AAE
A PyTorch Implementation of SUM-GAN-AAE from "Unsupervised Video Summarization via Attention-Driven Adversarial Learning" (MMM 2020)
SUM-GAN-sl
A PyTorch Implementation of SUM-GAN-sl from "A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization" (AI4TV Workshop at ACM MM 2019)
Video-Thumbnail-Selector
A PyTorch Implementation of the Video Thumbnail Selector from "Combining Adversarial and Reinforcement Learning for Video Thumbnail Selection" (ACM ICMR 2021)
XAI-SUM
A PyTorch implementation of the software used in: "A study on the use of attention for explaining video summarization" (NarSUM Workshop at ACM MM 2023) and "Explaining video summarization based on the focus of attention" (IEEE ISM 2022)
e-apostolidis's Repositories
e-apostolidis/PGL-SUM
A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization" (IEEE ISM 2021)
e-apostolidis/SUM-GAN-AAE
A PyTorch Implementation of SUM-GAN-AAE from "Unsupervised Video Summarization via Attention-Driven Adversarial Learning" (MMM 2020)
e-apostolidis/AC-SUM-GAN
A PyTorch Implementation of AC-SUM-GAN from "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization" (IEEE TCSVT 2021)
e-apostolidis/CA-SUM
A PyTorch Implementation of CA-SUM from "Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames", Proc. ACM ICMR 2022
e-apostolidis/Video-Thumbnail-Selector
A PyTorch Implementation of the Video Thumbnail Selector from "Combining Adversarial and Reinforcement Learning for Video Thumbnail Selection" (ACM ICMR 2021)
e-apostolidis/XAI-SUM
A PyTorch implementation of the software used in: "A study on the use of attention for explaining video summarization" (NarSUM Workshop at ACM MM 2023) and "Explaining video summarization based on the focus of attention" (IEEE ISM 2022)
e-apostolidis/PoR-Summarization-Measure
A python implementation for computing the PoR metric for video summarization from "Performance over Random: A Robust Evaluation Protocol for Video Summarization Methods" (ACM MM 2020)
e-apostolidis/SUM-GAN-sl
A PyTorch Implementation of SUM-GAN-sl from "A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization" (AI4TV Workshop at ACM MM 2019)
e-apostolidis/RL-DiVTS
A PyTorch Implementation of RL-DiVTS from "Selecting a Diverse Set of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning" (ΙΕΕΕ ICIP 2023)
e-apostolidis/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.
e-apostolidis/CA-SUM-360
A PyTorch implementation of our method from "An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos", Proc. MMM 2024
e-apostolidis/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.