Search Results for author: Thomas Wiegand

Found 11 papers, 4 papers with code

Curiously Effective Features for Image Quality Prediction

1 code implementation10 Jun 2021 Sören Becker, Thomas Wiegand, Sebastian Bosse

The performance of visual quality prediction models is commonly assumed to be closely tied to their ability to capture perceptually relevant image aspects.

FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons

no code implementations17 Dec 2020 Simon Wiedemann, Suhas Shivapakash, Pablo Wiedemann, Daniel Becking, Wojciech Samek, Friedel Gerfers, Thomas Wiegand

With the growing demand for deploying deep learning models to the "edge", it is paramount to develop techniques that allow to execute state-of-the-art models within very tight and limited resource constraints.

Quantization

Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements

no code implementations22 Apr 2020 Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand

Digital contact tracing approaches based on Bluetooth low energy (BLE) have the potential to efficiently contain and delay outbreaks of infectious diseases such as the ongoing SARS-CoV-2 pandemic.

Trends and Advancements in Deep Neural Network Communication

no code implementations6 Mar 2020 Felix Sattler, Thomas Wiegand, Wojciech Samek

Due to their great performance and scalability properties neural networks have become ubiquitous building blocks of many applications.

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

1 code implementation27 Jul 2019 Simon Wiedemann, Heiner Kirchoffer, Stefan Matlage, Paul Haase, Arturo Marban, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

The field of video compression has developed some of the most sophisticated and efficient compression algorithms known in the literature, enabling very high compressibility for little loss of information.

Neural Network Compression Quantization +1

Focus Group on Artificial Intelligence for Health

no code implementations13 Sep 2018 Marcel Salathé, Thomas Wiegand, Markus Wenzel

Artificial Intelligence (AI) - the phenomenon of machines being able to solve problems that require human intelligence - has in the past decade seen an enormous rise of interest due to significant advances in effectiveness and use.

Decision Making

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models

no code implementations28 Aug 2017 Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller

With the availability of large databases and recent improvements in deep learning methodology, the performance of AI systems is reaching or even exceeding the human level on an increasing number of complex tasks.

Explainable artificial intelligence General Classification +2

The Convergence of Machine Learning and Communications

no code implementations28 Aug 2017 Wojciech Samek, Slawomir Stanczak, Thomas Wiegand

The areas of machine learning and communication technology are converging.

A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment

1 code implementation20 Jul 2016 Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, Thomas Wiegand

In most practical situations, the compression or transmission of images and videos creates distortions that will eventually be perceived by a human observer.

Denoising Image Quality Assessment +2

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