Learning, Recognition & Surveillance Group

Our main research focus is on machine learning and object recognition, detection, and tracking.

For news and announcements please refer to the landing page of Team Bischof.

Team Members

Horst Possegger

Office:Room E3.09

Research interests:Tracking, Detection, Video Analysis
Georg Waltner

Office:Room E3.09

Research interests:Machine Learning, Activity Recognition, Metric Learning
Georg Poier

Office:Room E3.11

Research interests:Machine Learning, Pose Estimation
Michael Opitz

Office:Room E3.09

Research interests:Machine Learning, Detection
David Schinagl

Office:Room E3.10

Research interests:Generative Adversarial Networks
Georg Krispel

Office:Room E3.10

Research interests:Machine Learning, Scene Understanding
Wei Lin

Office:Room E3.11

Research interests:Machine Learning, Activity Recognition
Christian Fruhwirth-Reisinger

Office:Room E3.11

Research interests:Online Learning, Visual Object Tracking


Christian Ertler

Currently with mapillary

Previous website:/lrs/members/ertler

Research interests:Machine Learning, Recognition
Patrick Ruprecht

Currently with ivii

Previous website:/lrs/members/ruprecht

Thomas Mauthner

PhD Thesis:Learning Activity Recognition from Weakly Labeled Data

Currently with Efkon

Previous Website:/lrs/members/mauthner
Samuel Schulter (2015)

PhD Thesis:Loss Minimization for Random Forests in Computer Vision

Currently with the Media Analytics group at NEC Labs (Cupertino, CA)
Peter Roth (2013)

Duties:LRS group lead
PhD Thesis:On-line Conservative Learning

Currently with the Computer Vision for Augmented Reality Lab
Sabine Sternig (2013)

PhD Thesis:Scene Specific Object Detection and Tracking

Currently with Amazon
Paul Wohlhart (2013)

PhD Thesis:Object Detection based on Local Evidence

Currently with X, the moonshot factory
Martin Köstinger (2013)

PhD Thesis:Efficient Metric Learning for Real-World Face Recognition

Currently with Amazon
Martin Hirzer (2013)

PhD Thesis:Combining Descriptive and Discriminative Information for Person Re-Identification

Currently with the Computer Vision for Augmented Reality Lab
Martin Godec (2013)

PhD Thesis:Tracking-by-Detection using Randomized Online Ensemble Methods

Currently with Anton Paar GmbH
Inayatullah Khan (2012)

PhD Thesis:Learning from Internet Images for Object Categorization

Amir Saffari (2010)

PhD Thesis:Multi-Class Semi-Supervised and Online Boosting

Currently head of Machine Intelligence at import.io
Christian Leistner (2010)

PhD Thesis:Semi-Supervised Ensemble Methods for Computer Vision

Currently with Amazon
Thuy Nguyen (2009)

PhD Thesis:Object Detection from Aerial Images


Bernhard Zeisl (2009)

Visiting researcher from ETH Zurich