5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023
CycleCL: Self-supervised Learning for Periodic Videos
Matteo Destro, Michael Gygli
Analyzing periodic video sequences is a key topic in applications such as automatic production systems, remote sensing, medical applications, or physical training. An example is co…
cs.MM2017★ 5 cited
AENet: Learning Deep Audio Features for Video Analysis
Naoya Takahashi, Michael Gygli, Luc Van Gool
We propose a new deep network for audio event recognition, called AENet. In contrast to speech, sounds coming from audio events may be produced by a wide variety of sources. Furthe…