no code implementations • 18 Apr 2024 • Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath
The use of standardized codecs, such as JPEG or H. 264, is prevalent and required to ensure interoperability.
1 code implementation • 13 Sep 2023 • Christoph Reich, Biplob Debnath, Deep Patel, Srimat Chakradhar
the input image, the JPEG quality, the quantization tables, and the color conversion parameters.
no code implementations • 30 Aug 2023 • Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar
To overcome the deterioration of vision performance, this paper presents the first end-to-end learnable deep video codec control that considers both bandwidth constraints and downstream deep vision performance, while adhering to existing standardization.
2 code implementations • 23 Aug 2023 • Christoph Reich, Tim Prangemeier, Heinz Koeppl
In this paper, we introduce the trapped yeast cell (TYC) dataset, a novel dataset for understanding instance-level semantics and motions of cells in microstructures.
1 code implementation • 15 Apr 2023 • Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl
The aim of the dataset and evaluation strategy is to facilitate the development of new cell segmentation approaches.
1 code implementation • 17 Oct 2022 • Ahmet Gokberk Gul, Oezdemir Cetin, Christoph Reich, Tim Prangemeier, Nadine Flinner, Heinz Koeppl
Here, we propose Self-ViT-MIL, a novel approach for classifying and localizing cancerous areas based on slide-level annotations, eliminating the need for pixel-wise annotated training data.
Histopathological Image Classification Image Classification +1
1 code implementation • Physiological Measurement 2022 • Maurice Rohr, Christoph Reich, Andreas Höhl, Timm Lilienthal, Tizian Dege, Filip Plesinger, Veronika Bulkova, Gari Clifford, Matthew Reyna, Christoph Hoog Antink
During the lockdown of universities and the COVID-Pandemic most students were restricted to their homes.
1 code implementation • Biosystems 2022 • Tim Prangemeier, Christian Wildner, André O.Françani, Christoph Reich, Heinz Koeppl
We give an overview of the datasets recorded for training, validating and testing the networks, as well as a typical use-case.
1 code implementation • 7 Dec 2021 • Marius Memmel, Christoph Reich, Nicolas Wagner, Faraz Saeedan
With the increased availability of 3D data, the need for solutions processing those also increased rapidly.
1 code implementation • 20 Oct 2021 • Christoph Reich, Tim Prangemeier, Özdemir Cetin, Heinz Koeppl
Occupancy networks (O-Nets) are an alternative for which the data is represented continuously in a function space and 3D shapes are learned as a continuous decision boundary.
1 code implementation • 15 Jun 2021 • Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerful tool to study the inherently dynamic processes of life on the single-cell level.
Ranked #1 on TFLM sequence generation on TLFM dataset
no code implementations • 22 Mar 2021 • Christoph Reich
This thesis is a study towards deep learning-based modeling of TLFM experiments on the image level.
1 code implementation • 19 Nov 2020 • Tim Prangemeier, Christoph Reich, Heinz Koeppl
For the specific use case, the proposed method surpasses the state-of-the-art tools for semantic segmentation and additionally predicts the individual object instances.
1 code implementation • 16 Nov 2020 • Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data.