Publications

Google Scholar profile of [Simone Frintrop], [Tim Rolff], [Noha Sarhan], [Christian Wilms], [Ehsan Yaghoubi]

2024

Mykhailo Koshil, Tilman Wegener, Detlef Mentrup, Simone Frintrop, Christian Wilms: AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection, 2nd workshop on Vision-based InduStrial InspectiON (VISION) @ECCV, 2024, [PDF], [arxiv]
Christian Wilms, Tim Rolff, Maris Hillemann, Robert Johanson, Simone Frintrop: SOS: Segment Object System for Open-World Instance Segmentation With Object Priors, European Conference on Computer Vision (ECCV), 2024, [PDF], [arxiv], [supp. mat.], [code], [video]
Ehsan Yaghoubi, Tuyet Kim Tran, Diana Borza, Simone Frintrop: Attention-Based Fusion of Intra- and Intermodal Dynamics in Multimodal Sentiment Analysis, PerCom 2024, [webpage], [PDF]
Sara Mínguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann: RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification, MIDL 2024, [webpage], [PDF]
Masoud Moeini, Ehsan Yaghoubi, Simone Frintrop: Street view images blur detection, Journal of Autonomous Intelligence (2024) Volume 7 Issue 3, [webpage], [PDF]
André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Select High-Level Features: Efficient Experts from a Hierarchical Classification Network, 5th Workshop on practical ML for limited/low resource settings (PML4LRS) at ICLR 2024,[arxiv], [PDF]
Emre Gülsoylu, Paul Koch, Mert Yildiz, Manfred Constapel, André Peter Kelm: Image and AIS Data Fusion Technique for Maritime Computer Vision Applications, 2nd Workshop on Maritime Computer Vision at Winter Conference on Applications of Computer Vision (WACV), 2024, [PDF], [arxiv], [video]
Robert Johanson*, Christian Wilms*, Ole Johannsen, Simone Frintrop: S³AD: Semi-supervised Small Apple Detection in Orchard Environments, Winter Conference on Applications of Computer Vision (WACV), 2024, [dataset], [PDF], [supp. mat.], [arxiv], [poster], [video]

2023

Tim Rolff, Susanne Schmidt, Ke Li, Frank Steinicke, Simone Frintrop: VRS-NeRF: Accelerating Neural Radiance Field Rendering with Variable Rate Shading, 22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR), October 16 - 20, 2023, Sydney NSW, [PDF], [supplementary]
Noha Sarhan, Simone Frintrop: Unraveling a Decade: A Comprehensive Survey on Isolated Sign Language Recognition, Analysis and Modeling of Face and Gestures Workshop at International Conference on Computer Vision, AMFG @ ICCV 2023, [PDF]
Ehsan Yaghoubi, André Kelm, Timo Gerkmann, Simone Frintrop: Acoustic and Visual Knowledge Distillation for Contrastive Audio-Visual Localization, International Conference on Multimodal Interaction, ICMI 2023, [PDF]
Noha Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop: Hands in Focus: Sign Language Recognition via Top-Down Attention, International Conference on Image Processing, ICIP 2023, [PDF]
Tom Sanitz*, Christian Wilms*, Simone Frintrop: Small, but important: Traffic light proposals for detecting small traffic lights and beyond, International Conference on Computer Vision Systems, ICVS 2023, [PDF], [arXiv]
Noha Sarhan, Jan M. Willruth, Simone Frintrop: PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition, 14th International Conference on Computer Vision Systems, ICVS 2023, [PDF]
Julius Richter, Simone Frintrop, Timo Gerkmann: Audio-Visual Speech Enhancement with Score-Based Generative Models, accepted for ITG Conference on Speech Communication, Aachen, Germany, Sept 2023
Huajian Fang, Simone Frintrop, Timo Gerkmann: Uncertainty-Driven Hybrid Fusion for Audio-Visual Phoneme Recognition, accepted for ITG Conference on Speech Communication, Aachen, Germany, Sept 2023
André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention, arXiv:2308.05128, 2023, [arXiv], [PDF]
Tim Rolff, Susanne Schmidt, Frank Steinicke, Simone Frintrop: A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors, Symposium on Eye Tracking Research and Applications (ETRA ’23), May 30–June 02, 2023, Tubingen, Germany. ACM, New York, NY, USA, 8 pages, [doi], [PDF]
Pia Čuk, Robin Senge, Mikko Lauri, Simone Frintrop: Teacher Network Calibration Improves Cross-Quality Knowledge Distillation, arXiv:2304.07593, 2023, [arXiv], [code], [PDF]
Diana Laura Borza, Ehsan Yaghoubi, Simone Frintrop, Hugo Proença: Adaptive Spatial Transformation Networks for Periocular Recognition, Sensors 2023, 23(5), [webpage], [PDF]

2022

Tim Rolff, H. Matthias Harms, Frank Steinicke, Simone Frintrop: GazeTransformer: Gaze Forecasting for Virtual Reality Using Transformer Networks, Pattern Recognition. DAGM GCPR 2022, Lecture Notes in Computer Science, vol 13485. Springer, [PDF]
Tim Rolff, Niklas Stein, Markus Lappe, Frank Steinicke, Simone Frintrop: Metrics for Time-to-Event Prediction of Gaze Events, NeurIPS 2022 Gaze Meets ML Workshop, [PDF]
Ke Li*, Tim Rolff*, Susanne Schmidt, Reinhard Bacher, Simone Frintrop, Wim Leemans, Frank Steinicke, Immersive Neural Graphics Primitives, [arXiv], [code], 2022, *Equal contribution
Christian Wilms: Superpixels and Attention for High-quality Object Proposals in Complex Environments, PhD Thesis, 2022, [PDF]
Tim Rolff, Frank Steinicke, Simone Frintrop: Gaze Mapping for Immersive Virtual Environments Based on Image Retrieval, Frontiers in Virtual Reality, 2022, [PDF]
Tim Rolff, Frank Steinicke, and Simone Frintrop: When do Saccades begin? Prediction of Saccades as a Time-to-Event Problem, ACM Symposium on Eye Tracking Research & Applications, 2022, [PDF]
Jan Fabian Schmid, Stephan F. Simon, Raaghav Radhakrishnan, Simone Frintrop, Rudolf Mester: HD Ground - A Database for Ground Texture Based Localization, ICRA (Int'l Conf. on Robotics and Automation) 2022, [PDF]
Christian Wilms, Alexander Michael Gerlach, Rüdiger Schmitz, and Simone Frintrop: Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask, arXiv:2203.11358, 2022, [arXiv]
Christian Wilms, Robert Johanson, and Simone Frintrop: Localizing Small Apples in Complex Apple Orchard Environments, arXiv:2202.11372, 2022, [arXiv]
Noha Sarhan, Mikko Lauri, Simone Frintrop: Multi-Phase Fine-Tuning: A New Fine-Tuning Approach for Sign Language Recognition, German Journal of Artificial Intelligence (KI - Künstliche Intelligenz), Springer 2022, [PDF]
Haoran Chen, Jianmin Li, Simone Frintrop, and Xiaolin Hu: Annotation cleaning for the MSR-Video to Text dataset, in Computer Vision and Image Understanding, Vol. 225, 2022, 103581, [webpage], [PDF]

2021

Noha Sarhan, Simone Frintrop: Sign, Attend and Tell: Spatial Attention for Sign Language Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021, [PDF]
Christian Wilms, Simone Frintrop: DeepFH Segmentations for Superpixel-based Object Proposal Refinement, Image and Vision Computing (IMAVIS) 2021, [PDF], [Video]
Soubarna Banik, Mikko Lauri, Alois Knoll, Simone Frintrop: Object Localization with Attribute Preference based on Top-Down Attention, International Conference on Computer Vision Systems (ICVS) 2021, [PDF]
Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop: See the silence: improving visual-only voice activity detection by optical flow and RGB fusion, International Conference on Computer Vision Systems (ICVS) 2021, [PDF]
Stefanie Stoppel, Simone Frintrop: Investigating Bias in Facial Expression Recognition, CVPR Workshop Responsible Computer Vision, 2021, [PDF], [Poster]
Ge Gao: Learning 6D Object Pose from Point Clouds, PhD thesis, 2021, [PDF]
Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop: CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds, Proceeding of International Conference on Robotics and Automation (ICRA) 2021, [PDF], [Code]

2020

Mikko Lauri, Frans A. Oliehoek: Multi-agent active perception with prediction rewards, in: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). [PDF], [webpage], [code]
Tim Rolff, Marc Rautenhaus, Stephan Olbrich, Simone Frintrop: Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions, in: Vision, Modeling, and Visualization, 2020, ISBN: 978-3-03868-123-6, DOI:10.2312/vmv.20201185, [PDF]
Christian Wilms, Rafael Heid, Mohammad Araf Sadeghi, Andreas Ribbrock, Simone Frintrop: Which Airline is This? Airline Logo Detection in Real-World Weather Conditions, International Conference on Pattern Recognition (ICPR), 2020 [video], [PDF]
Christian Wilms, Simone Frintrop: Superpixel-based Refinement for Object Proposal Generation, International Conference on Pattern Recognition (ICPR), 2020. [PDF]
Quan Nguyen, Julius Richter, Mikko Lauri, Timo Gerkmann, Simone Frintrop: Improving mix-and-separate training in audio-visual sound source separation with an object prior, ICPR 2020, [PDF]
Lauri, M., Pajarinen, J., Peters, J., & Frintrop, S.: Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. IEEE Robotics and Automation Letters, 2020. [arXiv], [webpage], [PDF]
Lauri, M., Pajarinen, J., & Peters, J.: Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. Autonomous Agents and Multi-Agent Systems, 34(42), 2020. [webpage], [code and more details]
Noha Sarhan, Simone Frintrop: Transfer Learning of Videos: From Action Recognition to Sign Language Recognition, International Conference on Image Processing, 2020 (ICIP ’20), [PDF]
Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang and Simone Frintrop: 6D Object Pose Regression via Supervised Learning on Point Clouds, Proceeding of International Conference on Robotics and Automation (ICRA) 2020, [PDF], [Code]

2019

Quan Nguyen, Mikko Lauri, Simone Frintrop: Distance dependent Maximum margin Dirichlet Process Mixture, The 16th Pacific Rim International Conferences on Artificial Intelligence (PRICAI), 2019, [PDF]
Zhen Deng, Ge Gao, Simone Frintrop, Fuchun Sun, Changshui Zhang, Jianwei Zhang: Attention based visual analysis for fast grasp planning with a multi-fingered robotic hand, in Frontiers in Neurorobotics, 2019. DOI: 10.3389/fnbot.2019.00060, [Paper], [PDF]
Jan Fabian Schmid, Mikko Lauri, Simone Frintrop: Explore, Approach and Terminate: Evaluating Subtasks in Active Visual Object Search Based on Deep Reinforcement Learning, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, [PDF], [video], [code]
Mikko Lauri, Joni Pajarinen, Jan Peters: Information Gathering in Decentralized POMDPs by Policy Graph Improvement, in Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019, [PDF], [arXiv], [code and more details]

2018

Christian Wilms, Simone Frintrop: AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects, Asian Conference on Computer Vision (ACCV), 2018 [webpage], [PDF], [video]
Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop: Occlusion Resistant Object Rotation Regression from Point Cloud Segments, Proceeding of the ECCV workshop on Recovering 6D Object Pose, 2018, [PDF], [arXiv]
Soubarna Banik, Mikko Lauri, Simone Frintrop: Multi-label Object Attribute Classification using a Convolutional Neural Network, arXiv preprint arXiv:1811.04309 (2018), [PDF]

2017:

Christian Wilms, Simone Frintrop: Edge Adaptive Seeding for Superpixel Segmentation, Proc. of the German Conference on Pattern Recognition (GCPR), 2017 [webpage], [PDF]
Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop: Saliency-guided Adaptive Seeding for Supervoxel Segmentation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, [PDF], [arXiv], [code and more details]
Mikko Lauri, Simone Frintrop: Object proposal generation applying the distance dependent Chinese restaurant process, Scandinavian Conference on Image Analysis (SCIA), 2017, [PDF]
Mikko Lauri, Eero Heinänen, Simone Frintrop: Multi-Robot Active Information Gathering with Periodic Communication IEEE International Conference on Robotics and Automation (ICRA), 2017 [PDF]
Germán Martín García, Mircea Pavel, and Simone Frintrop: A Computational Framework for Attentional Object Discovery in RGB-D Videos, in "Cognitive Processing" 18(2) (Springer), 2017 [PDF]

2016:

Germán Martín García, Farzad Husain, Hannes Schulz, Simone Frintrop, Carme Torras, Sven Behnke: Semantic Segmentation Priors for Object Discovery, 23rd International Conference on Pattern Recognition, (ICPR) December 2016, Cancún, México [PDF]

2015:

Thomas Werner, Germán Martín García, and Simone Frintrop: Saliency-Guided Object Candidates Based on Gestalt Principles, International Conference on Computer Vision Systems (ICVS), Copenhagen, July 2015 [PDF] (Winner of the best paper award)
Simone Frintrop, Thomas Werner, and Germán Martín García: Traditional Saliency Reloaded: A Good Old Model in New Shape, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 2015 [PDF] [Extended Abstract] [Poster] [Supplementary material] [Code and more details]
Simone Frintrop, Thomas Werner, and Germán Martín García: Twin Pyramids for Saliency Computation and the Application to Object Proposal Generation, Workshop WiCV at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 2015 [Extended Abstract] [Poster]
Esther Horbert, Germán Martín García, Simone Frintrop, and Bastian Leibe: Sequence-Level Object Candidates Based on Saliency for Generic Object Recognition on Mobile Systems, IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, May 2015 [PDF] (Finalist (nominated) for the best vision paper award)
Germán Martín García, Ekaterina Potapova, Thomas Werner, Michael Zillich, Markus Vincze, and Simone Frintrop: Saliency-based Object Discovery on RGB-D Data with a Late-Fusion Approach, IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, May 2015 [PDF]
Simone Frintrop, Lina Jackel, and Ulrich Ettinger: A Comparison of Bottom-up and Top-down Salience between Human Vision and a Computer Model of Visual Attention, 18th European Conference on Eye Movements, Vienna, Austria, 2015
Germán Martín García, Thomas Werner, and Simone Frintrop: Attentional Scene Exploration and Object Discovery in Camera and RGB-D Data Journal KI - Künstliche Intelligenz, Springer, vol. 29, Issue 1, Feb. 2015. Preprint: [PDF]

2014:

Simone Frintrop: Cognitive Approaches for Mobile Vision Systems, Habilitation thesis at the University of Bonn, 2014 [PDF]
Lei Zhu, Dominik A. Klein, Simone Frintrop, Zhiguo Cao, and Armin B. Cremers: A Multisize Superpixel Approach for Salient Object Detection Based on Multivariate Normal Distribution Estimation PDF Saliency maps, In: IEEE Transactions on Image Processing (TIP), Vol. 23(12), December 2014 [PDF] [Saliency Maps]
Germán Martín García, Simone Frintrop, and Armin B. Cremers: Systematicity and Compositionality in Computer Vision In Proc. of KogWis 2014 (Meeting of the German Cognitive Science Society), Sept. 29th - Oct. 2, 2014, in Cognitive Processing, Springer, vol 15, issue 1, Sept. 2014 [PDF]
Simone Frintrop, Germán Martín García, and Armin B. Cremers: A Cognitive Approach for Object Discovery, at the International Conference on Pattern Recognition (ICPR), Stockholm, Sweden [PDF]

2013:

Germán Martín García and Simone Frintrop: A Computational Framework for Attentional 3D Object Detection Proc. of the Annual Meeting of the Cognitive Science Society, July 2013 [PDF]
Germán Martín García, Simone Frintrop, and Armin B. Cremers: Attention-Based Detection of Unknown Objects in a Situated Vision Framework KI - Künstliche Intelligenz, Springer, 27 (3), 2013
The final publication is available at Springer via http://dx.doi.org/10.1007/s13218-013-0256-1
Lei Zhu, Dominik A. Klein, Simone Frintrop, Zhiguo Cao, and Armin B. Cremers: Multi-Scale Region-Based Saliency Detection Using W2 Distance on N-Dimensional Normal Distributions International Conference on Image Processing (ICIP) September 15-18, 2013, Melbourne, Australia [PDF]
Germán Martín García and Simone Frintrop: Computational proto-object detection in 3D data at the European Conference on Visual Perception (ECVP) 2013, Bremen, Germany [Poster]

2012:

Dominik A. Klein and Simone Frintrop: Salient Pattern Detection using W2 on Multivariate Normal Distributions Joint Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM) and the Austrian Association for Pattern Recognition (OAGM) (DAGM-OAGM), August 28-31, 2012, Graz, Austria [PDF] [Source code CoDi Saliency System]
Germán Martín García, Dominik A. Klein, Jörg Stückler, Simone Frintrop, and Armin B. Cremers Adaptive Multi-Cue 3D Tracking of Arbitrary Objects Joint Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM) and the Austrian Association for Pattern Recognition (OAGM) (DAGM-OAGM), August 28-31, 2012, Graz, Austria [PDF]
Dominik A. Klein, Germán Martín García, Simone Frintrop A computational model for saliency detection based on probability distributions European Conference on Visual Perception (ECVP), Sept 2012, Alghero, Italy [Poster]
Ali Borji, Simone Frintrop, Dicky Sihite and Laurent Itti Adaptive Object Tracking by Learning Background Context In: Proc. of the Egocentric Vision Workshop at the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2012
Germán Martín García, Dominik A. Klein, Jörg Stückler, Simone Frintrop, and Armin B. Cremers Adaptive Tracking with On-line Amendment of Features to Target Appearance Modalities In: Int. Conf. on Cognitive Systems (CogSys), February 22-23, 2012, Vienna, Austria

2011:

Simone Frintrop: Towards Attentive Robots, PALADYN Journal of Behavioral Robotics, Springer, Vol. 2, Issue 2, 2011 Download the article here. If you don't have access, you can download a preprint here.
Dominik A. Klein and Simone Frintrop: Center-surround Divergence of Feature Statistics for Salient Object Detection, Proc. of the International Conference on Computer Vision (ICCV), Barcelona, Spain, Nov. 2011 [PDF]
Simone Frintrop: Computational Visual Attention, A. A. Salah and T. Gevers, editors, Computer Analysis of Human Behavior, Advances in Pattern Recognition. Springer, 2011 [PDF]

2010:

Dominik A. Klein, Dirk Schulz, Simone Frintrop, and Armin B. Cremers: Adaptive Real-Time Video-Tracking for Arbitrary Objects, Int. Conf. on Intelligent Robots and Systems (IROS), October 18-22, 2010, Taipei, Taiwan [PDF]
Simone Frintrop: General Object Tracking with a Component-based Target Descriptor, IEEE 2010 International Conference on Robotics and Automation (ICRA '10), Anchorage, Alaska, May 2010 [PDF]
Simone Frintrop and Armin B. Cremers: Visual Landmark Generation and Redetection with a Single Feature per Frame, IEEE 2010 International Conference on Robotics and Automation (ICRA '10), Anchorage, Alaska, May 2010 [PDF]
Ali Borji and Simone Frintrop: Learning Context-based Feature Descriptors for Object Tracking, Proc. of the 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Osaka, Japan, March 2010.
Simone Frintrop, Erich Rome and Henrik I. Christensen: Computational Visual Attention Systems and their Cognitive Foundation: A Survey, ACM Transactions on Applied Perception (TAP), Vol. 7, Issue 1, 2010 [PDF]
An overview of the work was presented as invited talk at the Symposium on Applied Perception in Graphics and Visualization (APGV), August 27th, 2011 [Slides of talk (pdf)]
Simone Frintrop, Achim Königs, Frank Hoeller and Dirk Schulz: A Component-based Approach to Visual Person Tracking from a Mobile Platform, International Journal of Social Robotics, Special Issue on People Detection and Tracking, Vol. 2, Issue 1, pp. 53-62, Springer Netherlands, 2010 [PDF]

2009:

Dominik Klein, Dirk Schulz, and Simone Frintrop: Boosting with a Joint Feature Pool from Different Sensors, 7th International Conference on Computer Vision Systems (ICVS 2009), Oct. 2009 [PDF]
Simone Frintrop, Andreas Nüchter, Kai Pervölz, Hartmut Surmann, Sara Mitri, Joachim Hertzberg: Attentive Classification, International Journal of Applied Artificial Intelligence in Engineering Systems, Vol. 1, Number 1, June 2009
Simone Frintrop, Achim Königs, Frank Hoeller and Dirk Schulz: Visual Person Tracking Using a Cognitive Observation Model, Workshop on People Detection and Tracking at the IEEE 2009 International Conference Robotics and Automation (ICRA '09), Kobe, Japan, May 2009 [PDF]
Simone Frintrop and Markus Kessel: Most Salient Region Tracking, IEEE 2009 International Conference on Robotics and Automation (ICRA '09), Kobe, Japan, May 2009 [PDF]

2008:

Simone Frintrop and Patric Jensfelt: Attentional Landmarks and Active Gaze Control for Visual SLAM, IEEE Transactions on Robotics, Special Issue on Visual SLAM, vol. 24, no. 5, Oct. 2008. Download the article here. If you don't have access, you can download a preprint here.
Simone Frintrop: The High Repeatability of Salient Regions, ECCV Workshop "Vision in Action: Efficient Strategies for Cognitive Agents in Complex Environments", 18th Oct. 2008, Marseille, France
Simone Frintrop and Patric Jensfelt: Active Gaze Control for Attentional Visual SLAM, Proceedings of the IEEE 2008 International Conference Robotics and Automation (ICRA '08), Pasadena, California, May 2008 [PDF]
Simone Frintrop and Markus Kessel: Cognitive Data Association for Visual Person Tracking, Proc. of the 1st IEEE Workshop on Human Detection from Mobile Platforms (HDMP '08) , Pasadena, California, May 2008 [PDF]

2007:

Simone Frintrop, Patric Jensfelt and Henrik Christensen: Simultaneous Robot Localization and Mapping Based on a Visual Attention System, in Attention in Cognitive Systems, Lecture Notes on Artificial Intelligence (LNAI), 4840, Springer-Verlag, 2007 [PDF]
Simone Frintrop and Armin B. Cremers: Top-down Attention Supports Visual Loop Closing, Proc. of European Conference on Mobile Robotics (ECMR 2007), Freiburg, Germany, Sept. 2007. [PDF]
Simone Frintrop: Visual Robot Localization and Mapping based on Attentional Landmarks, German Conference on Artificial Intelligence (KI), Osnabrück, Germany, Sept. 2007 [PDF]
Simone Frintrop, Patric Jensfelt and Henrik Christensen: Attentional Robot Localization and Mapping, at the ICVS Workshop on Computational Attention & Applications (WCAA), Bielefeld, Germany, March 2007 [PDF]
Simone Frintrop, Maria Klodt, Erich Rome:
A Real-time Visual Attention System Using Integral Images, in Proc. of the 5th International Conference on Computer Vision Systems (ICVS 2007), Bielefeld, Germany, March 2007. [PDF]

2006:

Simone Frintrop, Patric Jensfelt, Henrik Christensen: Attentional Landmark Selection for Visual SLAM, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'06), October 2006. [PDF]
Simone Frintrop, Patric Jensfelt, Henrik Christensen: Detecting Useful Landmarks for Visual SLAM , Workshop Robotic 3D Environment Cognition, at the International Conference Spatial Cognition, Bremen (Germany), Sept. 2006
Simone Frintrop, Patric Jensfelt, Henrik Christensen: Pay Attention When Selecting Features , Proc. of the 18th Int'l Conference on Pattern Recognition (ICPR 2006), Hong Kong, Aug. 2006. [PDF]

2005:

Simone Frintrop: VOCUS: A Visual Attention System for Object Detection and Goal-directed Search, Phd thesis, Lecture Notes in Artificial Intelligence (LNAI), Vol. 3899 / 2006, Springer Berlin/Heidelberg. ISBN: 3-540-32759-2
[PDF], (© Springer). (see also here).
Simone Frintrop, Gerriet Backer, Erich Rome. Goal-directed Search with a Top-down Modulated Computational Attention System, Proceedings of the Annual Meeting of the German Association for Pattern Recognition (DAGM '05), Wien, Austria, Aug/Sept. 2005, [PDF]
Simone Frintrop, Gerriet Backer, Erich Rome. Selecting what is Important: Training Visual Attention, Proceedings of the 28th German Conference on Artificial Intelligence (KI '05), Koblenz, Germany, Sept. 2005, [PDF]
Sara Mitri, Simone Frintrop, Kai Pervölz, Hartmut Surmann, Andreas Nüchter. Robust Object Detection at Regions of Interest with an Application in Ball Recognition, in Proceedings IEEE 2005 International Conference Robotics and Automation (ICRA '05), Barcelona, Spain, April 2005, [PDF]
Simone Frintrop, Erich Rome, Andreas Nüchter, and Hartmut Surmann: A Bimodal Laser-Based Attention System, Journal of Computer Vision and Image Understanding (CVIU), vol. 100, no. 1-2, Oct-Nov 2005, Special Issue on Attention and Performance. [PDF]
Simone Frintrop, Erich Rome, and Gerriet Backer: A Goal-directed Visual Attention System. Poster Session of 8th Tübingen Perception Conference (Tübinger Wahrnehmungskonferenz) (TWK 2005). Conference: Tübingen, Germany, Feb 27-28, 2005

2004:

Simone Frintrop, Andreas Nüchter, Hartmut Surmann, and Joachim Hertzberg: Saliency-based Object Recognition in 3D Data, In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'04), September 2004. [PDF]
Simone Frintrop and Erich Rome: Simulating Visual Attention for Object Recognition, Proceedings of the Workshop on Early Cognitive Vision, Isle of Skye, Scotland, May 2004. [PDF]
S. Frintrop; A. Nüchter; H. Surmann: Visual Attention for Object Recognition in Spatial 3D Data. In: Proceedings of the 2nd International Workshop on Attention and Performance in Computational Vision (WAPCV 2004), revised post-conference proceedings: Springer LNCS Vol. 3368, Berlin ISBN 3-540-24421-2 L. Paletta, J. Tsotsos, E. Rome, G.W. Humphreys (eds), pp. 168-182, Conference: Prague, Czech Republic, May 15, 2004 [PDF]
S. Frintrop, E. Rome, A. Nüchter, H. Surmann: Focussing Object Recognition on Regions of Interest In: Proceedings of the 7. Tübingen Perception Conference (TWK 2004), H. Bülthoff, H.A. Mallot, R. Ulrich, F.A. Wichmann (eds), pp. 67, Conference: Tübingen, Germany, 30th Jan - 1st Feb., 2004

2003:

S. Frintrop; E. Rome; A. Nüchter; H. Surmann Applying Attentional Mechanisms to Bi-modal 3D Laser Data. In: International Workshop on Attention and Performance in Computer Vision (WAPCV 2003), L. Paletta, G.W. Humphreys, and R.B. Fisher (eds), pp. 25-30, Conference: Graz, Austria, April 3, 2003 [PDF]
S. Frintrop; E. Rome; A. Nüchter; H. Surmann An Attentive, Multi-modal Laser "Eye". In: Proc. of 3rd International Conference on Computer Vision Systems (ICVS 2003), J. Crowley, J.H. Piater, M. Vincze, and L. Paletta (eds), pp. 202-211, Springer, Berlin, LNCS 2626, 2003. Conference: Graz, Austria, April 1-2, 2003 Abstract | [PDF] © Springer Verlag
S. Frintrop, E. Rome, A. Nüchter, H. Surmann: Visuelle Aufmerksamkeitsmechanismen auf bimodalen Laserdaten In: Beiträge zur 6. Tübinger Wahrnehmungskonferenz (TWK 2003), H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann (eds), pp. 100, Conference: Tübingen, Germany, February 21-23, 2003 Abstract (in German)

2001:

Simone Frintrop: Robuste Roboterlokalisierung mit omnidirektionaler Bildsensorik, Diploma thesis, Full Thesis in [PDF] (German) (3,5 MB)
L. Paletta, S. Frintrop, J. Hertzberg: Robust localization using context in omnidirectional imaging. In: 2001 IEEE Intl. Conf. on Robotics and Automation (ICRA 2001) (May 21-26, 2001, Seoul, Korea), pp. 2072-2077 [PDF] (567 KB)
L. Paletta, S. Frintrop, J. Hertzberg: Localization by spatial context analysis In: Proceedings of the 25th Workshop of the AAPR (ÖAGM 2001), (June 2001, Berchtesgaden, Germany), pp. 55-65 [PDF] (881 KB)
L. Paletta, S. Frintrop, J. Hertzberg: Visual localization using Bayesian decision fusion on omnidirectional sensing In: Proceedings of the SPIE Sensor Fusion: Architectures, Algorithms and Applications V, Aerosense 2001 (April 2001, Orlando, Florida, USA), volume 4385, pages 58-66 [PDF] (868 KB)

* indicates equal contribution