7 papers · 1 filter
Investigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding
Eryk Kołodziejczyk, Alberto Presta, Karol Szurkowski +1
Spatio-temporal video grounding (STVG) aims to localize objects or events described by natural language queries in both space and time. Existing STVG models are typically trained a…
Pocket-STVG: lightweight architecture for Spatio-Temporal Video Grounding
Alberto Presta, Michal Byra, Grzegorz Stefański +3
Spatio-Temporal Video Grounding (STVG) aims to localize the spatio-temporal tube in a video corresponding to a natural language query. While recent methods achieve strong performan…
Zero-shot video highlight detection based on text descriptions and synthetic images
Michal Byra, Alberto Presta, Grzegorz Stefanski +1
Detecting video highlights, the most informative or engaging moments in a video, is important for applications such as video summarization and content recommendation. We propose a…
Weight-Space Mixture-of-Experts for Implicit Neural Representation Classification
Stanislaw Janik, Michal Byra
Implicit Neural Representations (INRs) encode signals as the weights of a coordinate-based neural network and have recently been proposed as an alternative domain for downstream le…
Investigating Single-Block Recurrence in Vision Transformers for Image Recognition
Michal Byra, Pawel Olszowiec, Grzegorz Stefanski +2
Vision Transformers (ViTs) implement depth by stacking independently parameterized blocks, but it remains unclear how much of this parameterization is necessary and how much can be…
Generating visual explanations from deep networks using implicit neural representations
Michal Byra, Henrik Skibbe
Explaining deep learning models in a way that humans can easily understand is essential for responsible artificial intelligence applications. Attribution methods constitute an impo…
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches
Henrik Skibbe, Michal Byra, Akiya Watakabe +2
We introduce "PatchMorph," an new stochastic deep learning algorithm tailored for unsupervised 3D brain image registration. Unlike other methods, our method uses compact patches of…