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

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2025

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video

Hannes Fassold

The detection of shot boundaries (hardcuts and short dissolves), sampling structure (progressive / interlaced / pulldown) and dynamic keyframes in a video are fundamental video ana…

cs.CV2023

A real-time algorithm for human action recognition in RGB and thermal video

Hannes Fassold, Karlheinz Gutjahr, Anna Weber +1

Monitoring the movement and actions of humans in video in real-time is an important task. We present a deep learning based algorithm for human action recognition for both RGB and t…

cs.CV2022

FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level

Gabriele Lagani, Claudio Gennaro, Hannes Fassold +1

Learning algorithms for Deep Neural Networks are typically based on supervised end-to-end Stochastic Gradient Descent (SGD) training with error backpropagation (backprop). Backprop…

cs.CV2022★ 1 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.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…

cs.CV2019

OmniTrack: Real-time detection and tracking of objects, text and logos in video

Hannes Fassold, Ridouane Ghermi

The automatic detection and tracking of general objects (like persons, animals or cars), text and logos in a video is crucial for many video understanding tasks, and usually real-t…

cs.CV2019

Adapting Computer Vision Algorithms for Omnidirectional Video

Hannes Fassold

Omnidirectional (360°) video has got quite popular because it provides a highly immersive viewing experience. For computer vision algorithms, it poses several challenges, like the…