Efficient Video Action Recognition: How well does TriDet perform and generalize in a limited compute power and data setting?

Image-to-Image Translation of Synthetic Samples for Rare Classes

Transferring a Segmentation Task Between Real and Synthetic Data

Efficient Temporal Action Localization via Vision-Language Modelling: An Empirical Study on the STALE Model's Efficiency and Generalizability in Resource-constrained Environments

Evaluating the Supervised Video Summarization Model VASNet on an Action Localization Dataset

Synthetic Waste Generator for Classification Training

Optical Calibration System: Subproject within the ADome project

TemporalMaxer Performance in the Face of Constraint: A Study in Temporal Action Localization: A Comprehensive Analysis on the Adaptability of TemporalMaxer in Resource-Scarce Environments

Scale invariant image registration in the domain of art conservation

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

AI-powered smartglasses for visually impaired people to achieve greater independence and social integration: Design of a concept for visually impaired people that uses human assistance substitution when artificial intelligence is not reliable

Development of a low-cost computer vision sensor for precision positioning systems: Exploring the limits of computer vision sensors in precision systems

Audio-visual authentication for mobile devices

Vision-Based Reinforcement Learning for the guidance of an AR Drone 2

Pedestrian Detection and Tracking for Mobile Robots in Human Environments

Group Equivariant Video Action Recognition: Making action-recognition networks equivariant to temporal direction and discrete spatial rotations

Learning Phase-Based Descriptions for Action Recognition

Top-Down Networks: A coarse-to-fine reimagination of CNNs

Grasp recognition with spatiotemporal deep learning and proximity sensors in transradial prostheses

Automated monitoring of corrosion on piling sheets: a model test to understand the possibilities for asset managers