collaborators

5 papers

cs.CV2023

Multi Sentence Description of Complex Manipulation Action Videos

Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2

Automatic video description requires the generation of natural language statements about the actions, events, and objects in the video. An important human trait, when we describe a…

cs.CV2023

A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos

Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2

Nuanced understanding and the generation of detailed descriptive content for (bimanual) manipulation actions in videos is important for disciplines such as robotics, human-computer…

cs.AI2020

Human and Machine Action Prediction Independent of Object Information

Fatemeh Ziaeetabar, Jennifer Pomp, Stefan Pfeiffer +4

Predicting other people's action is key to successful social interactions, enabling us to adjust our own behavior to the consequence of the others' future actions. Studies on actio…

cs.IR2020

Semantic Image Search for Robotic Applications

Tomas Kulvicius, Irene Markelic, Minija Tamosiunaite +1

Generalization in robotics is one of the most important problems. New generalization approaches use internet databases in order to solve new tasks. Modern search engines can return…

cs.LG2020

One-shot path planning for multi-agent systems using fully convolutional neural network

Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke +2

Path planning plays a crucial role in robot action execution, since a path or a motion trajectory for a particular action has to be defined first before the action can be executed.…