no code implementations • 29 Apr 2024 • Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert
In this paper, we propose to exploit spatiotemporal metainformation in SSL to improve the quality of pseudo-labels and, therefore, the final model performance.
1 code implementation • 11 Dec 2023 • Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius
Adapting existing short video (5-30 seconds) grounding methods to this problem yields poor performance.
1 code implementation • 26 May 2023 • Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern Menze, Volker Tresp, Matthias Schubert, Thomas Seidl
Secondly, we propose a novel inter-instance interaction using gate activation as a mask for self-attention.
Ranked #4 on Video Instance Segmentation on YouTube-VIS 2021 (using extra training data)
1 code implementation • 22 Aug 2022 • Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
We propose three novel components to model short-term and long-term dependency and temporal coherence.
Ranked #5 on Video Instance Segmentation on Youtube-VIS 2022 Validation (using extra training data)
1 code implementation • 14 Feb 2022 • Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert
Video Object Segmentation (VOS) has been targeted by various fully-supervised and self-supervised approaches.
1 code implementation • 11 May 2021 • Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie
The average correlation between the observed and predicted data is about 56%, which is reasonable in light of the complex dynamics of fast-moving energetic protons in the magnetosphere.