Hardware implementation of an SAD based stereo vision algorithm. - Kristian Ambrosch; Wilfried Kubinger; Martin Humenberger; Andreas Steininger (CVPR, 2007)

An Embedded Vision Sensor for Robot Soccer. - Wilfried Kubinger; Franz Rinnerthaler; Christoph Sulzbachner; Josef Langer; Martin Humenberger (EUROCAST, 2007)

Evaluation of Stereo Matching Systems for Real World Applications Using Structured Light for Ground Truth Estimation. - Martin Humenberger; Daniel Hartermann; Wilfried Kubinger (MVA, 2007)

Boosting the performance of embedded vision systems using a DSP/FPGA co-processor system. - Franz Rinnerthaler; Wilfried Kubinger; Josef Langer; Martin Humenberger; Stefan Borbely (SMC, 2007)

Extending two non-parametric transforms for FPGA based stereo matching using bayer filtered cameras. - Kristian Ambrosch; Martin Humenberger; Wilfried Kubinger; Andreas Steininger (CVPR Workshops, 2008)

An Optimized Software-Based Implementation of a Census-Based Stereo Matching Algorithm. - Christian Zinner; Martin Humenberger; Kristian Ambrosch; Wilfried Kubinger (ISVC (1), 2008)

Flexible Hardware-Based Stereo Matching. - Kristian Ambrosch; Wilfried Kubinger; Martin Humenberger; Andreas Steininger (EURASIP J. Embed. Syst., 2008)

A very fast census-based stereo matching implementation on a graphics processing unit. - Michael Weber; Martin Humenberger; Wilfried Kubinger (ICCV Workshops, 2009)

A census-based stereo vision algorithm using modified Semi-Global Matching and plane fitting to improve matching quality. - Martin Humenberger; T. Engelke; Wilfried Kubinger (CVPR Workshops, 2010)

Distributed real-time stereo matching on smart cameras. - Christian Zinner; Martin Humenberger (ICDSC, 2010)

A fast stereo matching algorithm suitable for embedded real-time systems. - Martin Humenberger; Christian Zinner; Michael Weber; Wilfried Kubinger; Markus Vincze (Comput. Vis. Image Underst., 2010)

Event-Based Stereo Matching Approaches for Frameless Address Event Stereo Data. - Jürgen Kogler; Martin Humenberger; Christoph Sulzbachner (ISVC (1), 2011)

Embedded fall detection with a neural network and bio-inspired stereo vision. - Martin Humenberger; Stephan Schraml; Christoph Sulzbachner; Ahmed Nabil Belbachir; Ágoston Srp; Ferenc Vajda (CVPR Workshops, 2012)

Optimization of a Neural Network for Computer Vision Based Fall Detection with Fixed-Point Arithmetic. - Christoph Sulzbachner; Martin Humenberger; Ágoston Srp; Ferenc Vajda (ICONIP (4), 2012)

CARE: A dynamic stereo vision sensor system for fall detection. - Ahmed Nabil Belbachir; Martin Litzenberger; Stephan Schraml; Michael Hofstätter; Michael D. Bauer; Peter Schön; Martin Humenberger; Christoph Sulzbachner; Tommi Lunden; M. Merne (ISCAS, 2012)

Ground Truth Evaluation for Event-Based Silicon Retina Stereo Data. - Jürgen Kogler; Florian Eibensteiner; Martin Humenberger; Margrit Gelautz; Josef Scharinger (CVPR Workshops, 2013)

Towards Autonomous Navigation of Miniature UAV. - Roland Brockers; Martin Humenberger; Stephan Weiss 002; Larry H. Matthies (CVPR Workshops, 2014)

Vision-based Landing Site Evaluation and Trajectory Generation Toward Rooftop Landing. - Vishnu R. Desaraju; Nathan Michael; Martin Humenberger; Roland Brockers; Stephan Weiss 002; Larry H. Matthies (Robotics: Science and Systems, 2014)

Enhancement of sparse silicon retina-based stereo matching using belief propagation and two-stage postfiltering. - Jürgen Kogler; Florian Eibensteiner; Martin Humenberger; Christoph Sulzbachner; Margrit Gelautz; Josef Scharinger (J. Electronic Imaging, 2014)

CV-HAZOP: Introducing Test Data Validation for Computer Vision. - Oliver Zendel 001; Markus Murschitz; Martin Humenberger; Wolfgang Herzner (ICCV, 2015)

Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications. - Ji-Ho Cho; Martin Humenberger (Intelligent Vehicles Symposium, 2015)

Vision-based landing site evaluation and informed optimal trajectory generation toward autonomous rooftop landing. - Vishnu R. Desaraju; Nathan Michael; Martin Humenberger; Roland Brockers; Stephan Weiss 002; Jeremy Nash; Larry H. Matthies (Auton. Robots, 2015)

Guided Matching Based on Statistical Optical Flow for Fast and Robust Correspondence Analysis. - Josef Maier; Martin Humenberger; Markus Murschitz; Oliver Zendel 001; Markus Vincze (ECCV (7), 2016)

Ground Truth Accuracy and Performance of the Matching Pipeline. - Josef Maier; Martin Humenberger; Oliver Zendel 001; Markus Vincze (CVPR Workshops, 2017)

Analyzing Computer Vision Data - The Good, the Bad and the Ugly. - Oliver Zendel 001; Katrin Honauer; Markus Murschitz; Martin Humenberger; Gustavo Fernández Domínguez (CVPR, 2017)

Intelligent Environmental Perception for Navigation and Operation of Autonomous Mobile Machines. - Robert Rößler; Thomas Kadiofsky; Wolfgang Pointner; Martin Humenberger; Christian Zinner (ERCIM News, 2017)

CV-HAZOP: Introducing Test Data Validation for Computational Imaging. - Oliver Zendel 001; Markus Murschitz; Martin Humenberger (ERCIM News, 2017)

How Good Is My Test Data? Introducing Safety Analysis for Computer Vision. - Oliver Zendel 001; Markus Murschitz; Martin Humenberger; Wolfgang Herzner (Int. J. Comput. Vis., 2017)

Metrics for Real-Time Mono-VSLAM Evaluation Including IMU Induced Drift with Application to UAV Flight. - Alexander Hardt-Stremayr; Matthias Schörghuber; Stephan Weiss 002; Martin Humenberger (ECCV Workshops (2), 2018)

From handcrafted to deep local invariant features. - Gabriela Csurka; Martin Humenberger (CoRR, 2018)

Visual Localization by Learning Objects-Of-Interest Dense Match Regression. - Philippe Weinzaepfel; Gabriela Csurka; Yohann Cabon; Martin Humenberger (CVPR, 2019)

SLAMANTIC - Leveraging Semantics to Improve VSLAM in Dynamic Environments. - Matthias Schörghuber; Daniel Steininger; Yohann Cabon; Martin Humenberger; Margrit Gelautz (ICCV Workshops, 2019)

R2D2: Reliable and Repeatable Detector and Descriptor. - Jérôme Revaud; César Roberto de Souza; Martin Humenberger; Philippe Weinzaepfel (NeurIPS, 2019)

R2D2: Repeatable and Reliable Detector and Descriptor. - Jérôme Revaud; Philippe Weinzaepfel; César Roberto de Souza; Noé Pion; Gabriela Csurka; Yohann Cabon; Martin Humenberger (CoRR, 2019)

Benchmarking Image Retrieval for Visual Localization. - Noé Pion; Martin Humenberger; Gabriela Csurka; Yohann Cabon; Torsten Sattler (3DV, 2020)

Estimating Low-Rank Region Likelihood Maps. - Gabriela Csurka; Zoltan Kato; Andor Juhasz; Martin Humenberger (CVPR, 2020)

Virtual KITTI 2. - Yohann Cabon; Naila Murray; Martin Humenberger (CoRR, 2020)

Robust Image Retrieval-based Visual Localization using Kapture. - Martin Humenberger; Yohann Cabon; Nicolas Guérin; Julien Morat; Jérôme Revaud; Philippe Rerole; Noé Pion; César Roberto de Souza; Vincent Leroy 003; Gabriela Csurka (CoRR, 2020)

Detecting Low-Rank Regions in Omnidirectional Images. - Zoltan Kato; Gabor Nagy; Martin Humenberger; Gabriela Csurka (CVPR Workshops, 2021)

Large-Scale Localization Datasets in Crowded Indoor Spaces. - Donghwan Lee; Soo-Hyun Ryu; Suyong Yeon; Yonghan Lee 001; Deokhwa Kim; Cheolho Han; Yohann Cabon; Philippe Weinzaepfel; Nicolas Guérin; Gabriela Csurka; Martin Humenberger (CVPR, 2021)

On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. - Eric Brachmann; Martin Humenberger; Carsten Rother; Torsten Sattler (ICCV, 2021)

Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance. - Jérôme Revaud; Martin Humenberger (ICCV, 2021)

Investigating the Role of Image Retrieval for Visual Localization - An exhaustive benchmark. - Martin Humenberger; Yohann Cabon; Noé Pion; Philippe Weinzaepfel; Donghwan Lee; Nicolas Guérin; Torsten Sattler; Gabriela Csurka (CoRR, 2022)

Investigating the Role of Image Retrieval for Visual Localization. - Martin Humenberger; Yohann Cabon; Noé Pion; Philippe Weinzaepfel; Donghwan Lee; Nicolas Guérin; Torsten Sattler; Gabriela Csurka (Int. J. Comput. Vis., 2022)

SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization. - Maxime Pietrantoni; Martin Humenberger; Torsten Sattler; Gabriela Csurka (CVPR, 2023)

4DHumanOutfit: A multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements. - Matthieu Armando; Laurence Boissieux; Edmond Boyer; Jean-Sébastien Franco; Martin Humenberger; Christophe Legras; Vincent Leroy 003; Mathieu Marsot; Julien Pansiot; Sergi Pujades; Rim Rekik; Grégory Rogez; et al. (Comput. Vis. Image Underst., 2023)

Self-Supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement. - Maxime Pietrantoni; Gabriela Csurka; Martin Humenberger; Torsten Sattler (3DV, 2024)