DFKI provides open-source software tools to be downloaded from the Software section.
For example, Fine-tuning deep CNN models on specific MS COCO categories (PDF). It covers our freely available software py-faster-rcnn-ft which allows straightforward fine tuning of deep convolutional neural networks for image classification. Software
DFKI presents the Medical VR demonstrator at IJCAI 2017 throughout the conference in Melbourne
Here’s the demo paper. See the submission video to IJCAI competition, and the final video.
DFKI will present at IJCAI 2017! Demo event and invited talk at Healthcare event.
Demo event Healthcare event
DFKI at CBMS 2017
DFKI presents final version of their integrated facetted search application for nephrology, the digital mammography application, and textual information extraction results in mammography at CBMS 2017
Heise and Technology Review feature DFKI’s work in Kognit and Interakt.
(Interview with Daniel Sonntag) about cognitive assessment and digital external memories. Heise and Technology Review
The Handbook of Multimodal-Multisensor Interfaces:
Foundations, User Modeling, and Common Modality Combinations. Volume 1 EDITORS: Oviatt, Sharon; Schuller, Bjorn; Cohen, Philip R; Sonntag, Daniel; Potamianos, Gerasimos; Krueger, Antonio PUBLISHER: Morgan and Claypool/ACM Press. This is a THREE volume series that presents the definitive state of the art and future directions of the field of Multimodal and Read more
ANNOUNCING The Handbook of Multimodal-Multisensor Interfaces
Foundations, User Modeling, and Common Modality Combinations. Volume 1 EDITORS: Oviatt, Sharon; Schuller, Bjorn; Cohen, Philip R; Sonntag, Daniel; Potamianos, Gerasimos; Krueger, Antonio PUBLISHER: Morgan and Claypool/ACM Press. This is a THREE volume series that presents the definitive state of the art and future directions of the field of Multimodal and Read more