activity
20192025
most citedA qualitative investigation of optical flow algorithms for video denoising

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV20221 cited

A qualitative investigation of optical flow algorithms for video denoising

Hannes Fassold

A good optical flow estimation is crucial in many video analysis and restoration algorithms employed in application fields like media industry, industrial inspection and automotive…

cs.LG2022

AdaFamily: A family of Adam-like adaptive gradient methods

Hannes Fassold

We propose AdaFamily, a novel method for training deep neural networks. It is a family of adaptive gradient methods and can be interpreted as sort of a blend of the optimization al…

cs.CV2021

Detecting speaking persons in video

Hannes Fassold

We present a novel method for detecting speaking persons in video, by extracting facial landmarks with a neural network and analysing these landmarks statistically over time

cs.CV2021

Some like it tough: Improving model generalization via progressively increasing the training difficulty

Hannes Fassold

In this work, we propose to progressively increase the training difficulty during learning a neural network model via a novel strategy which we call mini-batch trimming. This strat…

cs.CV2021

Hyper360 -- a Next Generation Toolset for Immersive Media

Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou +7

Spherical 360° video is a novel media format, rapidly becoming adopted in media production and consumption of immersive media. Due to its novelty, there is a lack of tools for prod…

cs.CV2020

Automatic cinematography for 360 video

Hannes Fassold

We describe our method for automatic generation of a visually interesting camera path (automatic cinematography)from a 360 video. Based on the information from the scene objects, m…