First Person Vision @ Image Processing Laboratory - University of Catania

rulstm

Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.

DA-RetinaNet

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

MECCANO

The MECCANO Dataset: official repository in which we provide code and models.

STMDA-RetinaNet

Official Detectron2 implementation of STMDA-RetinaNet of our Computer Vision and Image Understanding 2022 work 'A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training'

EASG

Action Scene Graphs for Long-Form Understanding of Egocentric Videos

action-anticipation-losses

Implements the loss used in A. Furnari, S. Battiato, G. M. Farinella (2018). Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation . In International Workshop on Egocentric Perception, Interaction and Computing (EPIC) in conjunction with ECCV .

stillfast

Code for the paper: F. Ragusa, G. M. Farinella, A. Furnari. StillFast: An End-to-End Approach for Short-Term Object Interaction Anticipation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

ENIGMA-51

habitat-domain-adaptation

synchronization-is-all-you-need

Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs

calisthenics-skills-segmentation

mid-level-fusion-nav

WMM-detection-for-visual-navigation-systems

Code and documentation of the paper World-map misalignment detection for visual navigation systems

Quasi-Online-Detection-Take-Release

Code for the Paper: Quasi-Online Detection of Take and Release Actions from Egocentric Videos. International Conference on Image Analysis and Processing 2023.

WS-Attended-Object-Detection

Code of the paper Weakly Supervised Attended Object Detection Using Gaze Data as Annotations