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Quantifying and Learning Static vs. Dynamic Information in Deep
  Spatiotemporal Networks

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks

3 November 2022
M. Kowal
Mennatullah Siam
Md. Amirul Islam
Neil D. B. Bruce
Richard P. Wildes
Konstantinos G. Derpanis
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks"

3 / 3 papers shown
Title
HiERO: understanding the hierarchy of human behavior enhances reasoning on egocentric videos
HiERO: understanding the hierarchy of human behavior enhances reasoning on egocentric videos
Simone Alberto Peirone
Francesca Pistilli
Giuseppe Averta
72
0
0
19 May 2025
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
Sonia Joseph
Praneet Suresh
Lorenz Hufe
Edward Stevinson
Robert Graham
Yash Vadi
Danilo Bzdok
Sebastian Lapuschkin
Lee Sharkey
Blake A. Richards
149
0
0
28 Apr 2025
Understanding Video Transformers via Universal Concept Discovery
Understanding Video Transformers via Universal Concept Discovery
M. Kowal
Achal Dave
Rares Andrei Ambrus
Adrien Gaidon
Konstantinos G. Derpanis
P. Tokmakov
ViT
115
12
0
19 Jan 2024
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