Computer Vision for Human-Computer Interaction Lab

Our PostDoc Dr.-Ing. Alina Roitberg won another award for her doctoral thesis 'Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles'.

With this award, KIT honors outstanding doctoral researchers, thereby highlighting the great importance of young scientists at KIT.

Congratulations!

Dr.-Ing. Alina Roitberg won the second prize of the IEEE Intelligent Transportation Systems Society’s Best PhD Dissertation Award (2021) for her Ph.D. Thesis entitled "Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles"

We will offer a new lecture from this winter semester on: 'Deep Learning for Computer Vision - Advanced Topics'

The lecture 'Deep Learning for Computer Vision' will be renamed 'Deep Learning for Computer Vision - Basics' and offered in the summer semester.

There will be no more lectures in 'Computer Vision for Human-Computer Interaction'. 

We received the Best Paper Award – Third Place at IV 2021. 2021 - for our paper 'Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning' by Alexander Jaus, Kailun Yang, Rainer Stiefelhagen.

Routago - formerly called iXpoint - was one of our partners in the BMBF-funded Project TERRAIN. Together we developped a navigation app for visually impaired persons and now they are looking for new investors in Germany's 'Höhle der Löwen'. More

We have three papers accepted at 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, United States (Virtual), June 2021:

Title: 'Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation'
Authors: Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen

Title: 'Capturing Omni-Range Context for Omnidirectional Segmentation'
Authors: Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen

Title: 'Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation'
Authors: M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luv Van Gool, Rainer Stiefelhagen

Our paper 'Open Set Driver Activity Recognition' received the Best Student Paper First Runner Up award at the Intelligent Vehicles Symposium 2020. Congratulations to Alina Roitberg, Chaioxang Ma, Monica Haurilet!

We were invited to present our paper by A. Roitberg written in collaboration with M. Martin from Fraunhofer IOSB features Drive&Act, the first large-scale dataset for fine-grained driver activity recognition.

BMVC 2019

At the 30th  British Machine Vision Conference (BMVC) 2019 in Cardiff, our team won again the Best Industry Paper Award for its work on Image Translations with Spatial Profile Loss.

Our work on Self-Supervised Learning of Face Representations received the best paper award at IEEE Automatic Face and Gesture Recognition 2019

Authors: Vivek Sharma, Makarand Tapaswi, Saquib Sarfraz, and Rainer Stiefelhagen

The paper by M. Haurilet et al. presents a novel model based on a graph-traversal scheme for Visual Reasoning. The architecture searches relevant nodes in the scene graph to find information for answering the current question.   

The paper by M.S. Sarfraz et al. introduces a highly-efficient approach for clustering using first neighbour relations. In comparison to other clustering algorithms, FINCH does not require any hyper-parameters, but is able to deduce the number of clusters automatically.

The paper by S. Sarfraz et al. presents a novel approach for person re-identification and an unsupervised re-ranking method for retrieval applications.

The paper by V. Sharma et al. presents a novel CNN architecture  that can enhance image-specific details via dynamic enhancement filters with the overall all goal to improve classification.

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

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

Read more

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

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 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'

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".

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.

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.

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.