Object Recognition with Banana Wavelets. - Norbert Krüger; Gabriele Peters (ESANN, 1997)

Feature point Detection in Blurred Images. - Jaroslav Kautsky; Barbara Zitová; Jan Flusser; Gabriele Peters (IVCNZ, 1998)

Tracking of Rotating Objects. - Gabriele Peters; Christian Eckes; Christoph von der Malsburg (SSPR/SPR, 1998)

Two Methods for Comparing Different Views of the Same Object. - Gabriele Peters; Barbara Zitová; Christoph von der Malsburg (BMVC, 1999)

Robust detection of significant points in multiframe images. - Barbara Zitová; Jaroslav Kautsky; Gabriele Peters; Jan Flusser (Pattern Recognit. Lett., 1999)

Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition. - Norbert Krüger; Michael Pötzsch; Gabriele Peters (Information Theory and the Brain, 2000)

ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors. - Norbert Krüger; Gabriele Peters (Comput. Vis. Image Underst., 2000)

View Reconstruction by Linear Combination of Sample Views. - Gabriele Peters; Christoph von der Malsburg (BMVC, 2001)

Learning sparse representations of three-dimensional objects. - Gabriele Peters; Christoph von der Malsburg (ESANN, 2002)

How to measure the pose robustness of object views. - Gabriele Peters; Barbara Zitová; Christoph von der Malsburg (Image Vis. Comput., 2002)

A view based approach to three-dimensional object perception. - Gabriele Peters (Shaker, 2002)

Object Structure from Noisy Images. - Gabriele Peters (SIP, 2003)

Efficient pose estimation using view-based object representations. - Gabriele Peters (Mach. Vis. Appl., 2004)

Adaptive Object Acquisition. - Gabriele Peters; Claus-Peter Alberts; Markus Briese; Sebastian Entian; Christian Gabriel; Zhiqiang Gao; Alexander Klandt; Thomas Leopold; Jan Schultze; Jeremias Spiegel; Jürgen Thyen; Martina Vaupel; et al. (ARCS Workshops, 2005)

Squaring the Circles in Panoramas. - Lihi Zelnik-Manor; Gabriele Peters; Pietro Perona (ICCV, 2005)

A Vision System for Interactive Object Learning. - Gabriele Peters (ICVS, 2006)

Image Segmentation Based on Height Maps. - Gabriele Peters; Jochen Kerdels (CAIP, 2007)

A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces. - Jochen Kerdels; Gabriele Peters (ICANN (2), 2007)

Extension of the generalized image rectification - catching the infinity cases. - Klaus Häming; Gabriele Peters (ICINCO-RA (2), 2007)

Aesthetic Primitives of Images for Visualization. - Gabriele Peters (IV, 2007)

Dynamic learning of action patterns for object acquisition. - Gabriele Peters; Thomas Leopold (Int. J. Intell. Syst. Technol. Appl., 2007)

Combining Reinforcement Learning and Belief Revision - A Learning System for Active Vision. - Thomas Leopold; Gabriele Kern-Isberner; Gabriele Peters (BMVC, 2008)

Belief revision with reinforcement learning for interactive object recognition. - Thomas Leopold; Gabriele Kern-Isberner; Gabriele Peters (ECAI, 2008)

Dark days - New York. - Gabriele Peters (SIGGRAPH Art Gallery, 2008)

Relational Reinforcement Learning Applied to Appearance-Based Object Recognition. - Klaus Häming; Gabriele Peters (EANN, 2009)

Take Three Snapshots - A Tool for Fast Freehand Acquisition of 3D Objects. - Gabriele Peters; Klaus Häming (INTERACT (2), 2009)

An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic. - Klaus Häming; Gabriele Peters (ICANN (2), 2010)

The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences. - Klaus Häming; Gabriele Peters (Kybernetika, 2010)

A Hybrid Learning System for Object Recognition. - Klaus Häming; Gabriele Peters (ICINCO (2), 2011)

Ranking Functions in Large State Spaces. - Klaus Häming; Gabriele Peters (AIAI, 2011)

Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables. - Klaus Häming; Gabriele Peters (IJCCI (NCTA), 2011)

Six Necessary Qualities of Self-learning Systems - A Short Brainstorming. - Gabriele Peters (IJCCI (NCTA), 2011)

Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists. - Gabriele Peters (Int. J. Creative Interfaces Comput. Graph., 2011)

Making a Reinforcement Learning Agent Believe. - Klaus Häming; Gabriele Peters (ICANN (1), 2012)

Visualization of processes in self-learning systems. - Gabriele Peters; Kerstin Bunte; Marc Strickert; Michael Biehl; Thomas Villmann (PST, 2012)

Exploratory Modeling of Complex Information Processing Systems. - Jochen Kerdels; Gabriele Peters (ICINCO (1), 2013)

A Computational Model of Grid Cells based on Dendritic Self-organized Learning. - Jochen Kerdels; Gabriele Peters (IJCCI, 2013)

Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning. - Klaus Häming; Gabriele Peters (Neural Process. Lett., 2013)

Supporting GNG-based clustering with local input space histograms. - Jochen Kerdels; Gabriele Peters (ESANN, 2014)

Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal. - Jens Garstka; Gabriele Peters (Eurographics (Posters), 2014)

A New View on Grid Cells Beyond the Cognitive Map Hypothesis. - Jochen Kerdels; Gabriele Peters (AGI, 2015)

Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds. - Jens Garstka; Gabriele Peters (ICINCO (2), 2015)

Adaptive 3-D Object Classification with Reinforcement Learning. - Jens Garstka; Gabriele Peters (ICINCO (2), 2015)

Highly Parallelizable Algorithm for Keypoint Detection in 3-D Point Clouds. - Jens Garstka; Gabriele Peters (ICINCO (Selected Papers), 2015)

Analysis of high-dimensional data using local input space histograms. - Jochen Kerdels; Gabriele Peters (Neurocomputing, 2015)

A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas. - Jochen Kerdels; Gabriele Peters (GCAI, 2016)

Evaluation of Local 3-D Point Cloud Descriptors in Terms of Suitability for Object Classification. - Jens Garstka; Gabriele Peters (ICINCO (2), 2016)

Noise Resilience of an RGNG-based Grid Cell Model. - Jochen Kerdels; Gabriele Peters (IJCCI (NCTA), 2016)

Modelling the Grid-like Encoding of Visual Space in Primates. - Jochen Kerdels; Gabriele Peters (IJCCI (NCTA), 2016)

Entorhinal Grid Cells May Facilitate Pattern Separation in the Hippocampus. - Jochen Kerdels; Gabriele Peters (IJCCI, 2017)

Self-Learning 3D Object Classification. - Jens Garstka; Gabriele Peters (ICPRAM, 2018)

A Grid Cell Inspired Model of Cortical Column Function. - Jochen Kerdels; Gabriele Peters (IJCCI, 2018)

Challenging the Intuition about Memory and Computation in Theories of Cognition. - Jochen Kerdels; Gabriele Peters (IJCCI, 2019)

On the Robustness of Convolutional Neural Networks Regarding Transformed Input Images. - Frederik Timme; Jochen Kerdels; Gabriele Peters (IJCCI, 2020)

Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. - Patrick Gelhausen; M. Fischer; Gabriele Peters (CoRR, 2022)