Computer Vision for Human-Computer Interaction Lab

The CV:HCI lab is part of the Institute for Anthropomatics and Robotics (IAR) of the Department of Computer Science at the Karlsruhe Institute of Technology.

The lab is directed by Prof. Dr. Rainer Stiefelhagen, who also supervises the KIT's Study Center for Visually Impaired Students (SZS). Together with the SZS, we develop new assistive technologies for visually impaired people. We also have a close collaboration with the Fraunhofer IOSB in Karlsruhe.

Our research focuses on the perception of people with applications in the following areas:

Perception of People for HCI

Vision for the Seeing Impaired

Health Care

Image and Video Analysis

NEWS

Great news - Award won at CVPR Workshop 2017!

Monica Haurilet and Ziad Al-Halah participated in the textbook question answering challenge and won the first place on the text-based track and came second in the diagram-based track.
The winners were announced in CVPR17 Workshop for visual understanding across modalities - read more

Computer Vision for Human-Computer Interaction Lab At the 26th British Machine Vision Conference (BMVC) 2015, our team received the best industry paper award for the work on thermal-visible face recognition At the 9th International Computer Vision Summer School ( ICVSS ) 2015, our team member Ziad Al-Halah received the best presentation prize for his work on Hierarchical Transfer of Semantic Attributes . At the 22nd International Conference on Pattern Recognition ( ICPR ) Prof. Stiefelhagen's team received the IBM Best Student Paper Award in the Track 'Pattern Recognition and Machine Learning' for the work on " High-Level Semantics in Transfer Metric Learning ". mehr

Room change!

Please note that the lecture 'Computer Vision for Human-Computer Interaction' will take place in Room -102 (Bulidung 50.34) in WS 17/18.

2016_085_Testlabor_fuer_barrierefreien_Zugang_zu_Informationen-2.jpg

Inauguration of Accessibitlity Lab at SZS

Our new test lab for a barrier-free access to information for visually imparired persons was inaugurated on 3rd June 2016.

Best Industry Paper Award

At the 26th British Machine Vision Conference (BMVC) 2015, our team received the best industry paper award for the work on thermal-visible face recognition
Read more

Foto Al-Halah Presiverleihung ICVSS 2015

Best Presentation Award

At the 9th International Computer Vision Summer School (ICVSS) 2015, our team member Ziad Al-Halah received the best presentation prize for his work on Hierarchical Transfer of Semantic Attributes.

MIT Technology Review, July 2015

MIT Technology Review featured an article on our thermal visible face matching work in July 2015. Read more how 'Deep Neural Nets Can Now Recognize Your Face in Thermal Images'

Read more in 'In the Press'

"A Mobility and Navigational Aid for Visually Impaired Persons"

New lecture starting in summer 2014

We offer a new lecture 'Assistive Technologies for Visually Impaired Persons' from this semester on. Further details

IBM Best Student Paper Award

At the 22nd International Conference on Pattern Recognition (ICPR) Prof. Stiefelhagen's team received the IBM Best Student Paper Award in the Track 'Pattern Recognition and Machine Learning' for the work on "High-Level Semantics in Transfer Metric Learning".

Further details

Google Faculty Research Award Our research group receives a Google Research Award for its work on "A Mobility and Navigational Aid for Visually Impaired Persons". The "Google Faculty Research Award" is endowed with 83.000 USD for supporting research in computer science, engineering and related disciplines.
Further details.

How technology analyses faces @ CeBIT 2013

The video production team from the Department of Informatics visited our booth at the CeBIT 2013 and recorded a presentation of our demos there. You can watch it in their video channel KITInformatik.

CeBIT: CVHCI in the press

We received some nice press coverage after CeBIT. Check it out:

on heute.de
on itworld.com

Check out our project pages to learn more on our research on face analysis and person identification in multimedia.