posted on 2023-11-29, 18:08authored byApratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario FritzMario Fritz
Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception. While prior work has focused on estimating boundaries for observed frames, our work aims at predicting boundaries of future unobserved frames. This requires our model to learn about the fate of boundaries and corresponding motion patterns -- including a notion of "intuitive physics". We experiment on natural video sequences along with synthetic sequences with deterministic physics-based and agent-based motions. While not being our primary goal, we also show that fusion of RGB and boundary prediction leads to improved RGB predictions.
History
Preferred Citation
Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele and Mario Fritz. Long-Term Image Boundary Prediction. In: National Conference of the American Association for Artificial Intelligence (AAAI). 2018.
Primary Research Area
Trustworthy Information Processing
Name of Conference
National Conference of the American Association for Artificial Intelligence (AAAI)
Legacy Posted Date
2018-05-04
Open Access Type
Gold
BibTeX
@inproceedings{cispa_all_2602,
title = "Long-Term Image Boundary Prediction",
author = "Bhattacharyya, Apratim and Malinowski, Mateusz and Schiele, Bernt and Fritz, Mario",
booktitle="{National Conference of the American Association for Artificial Intelligence (AAAI)}",
year="2018",
}