Ales Leonardis

Orcid: 0000-0003-0773-3277

Affiliations:
  • University of Birmingham, UK


According to our database1, Ales Leonardis authored at least 278 papers between 1990 and 2024.

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Bibliography

2024
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Wavelet-based network for high dynamic range imaging.
Comput. Vis. Image Underst., January, 2024

Weakly-Supervised RGBD Video Object Segmentation.
IEEE Trans. Image Process., 2024

Label-efficient object detection via region proposal network pre-training.
Neurocomputing, 2024

bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction.
CoRR, 2024

PlantCamo: Plant Camouflage Detection.
CoRR, 2024

Improving Object Detection via Local-global Contrastive Learning.
CoRR, 2024

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement.
CoRR, 2024

Image Denoising and the Generative Accumulation of Photons.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-task Learning with 3D-Aware Regularization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction.
Proceedings of the International Conference on 3D Vision, 2024

2023
G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping.
Proc. ACM Hum. Comput. Interact., May, 2023

Diagnosing and Preventing Instabilities in Recurrent Video Processing.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Resource-Efficient RGBD Aerial Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tunable Convolutions with Parametric Multi-Loss Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Where are they looking in the 3D space?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging, 2022

FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
IEEE Trans. Image Process., 2022

End-to-End Learning to Grasp via Sampling From Object Point Clouds.
IEEE Robotics Autom. Lett., 2022

Repurposing existing deep networks for caption and aesthetic-guided image cropping.
Pattern Recognit., 2022

Learning Frequency Domain Priors for Image Demoireing.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Continual Learning Survey: Defying Forgetting in Classification Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation.
CoRR, 2022

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection.
CoRR, 2022

BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World.
CoRR, 2022

Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression.
CoRR, 2022

RGBD Object Tracking: An In-depth Review.
CoRR, 2022

Self-supervised HDR Imaging from Motion and Exposure Cues.
CoRR, 2022

End-to-End Learning to Grasp from Object Point Clouds.
CoRR, 2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
CoRR, 2022

Prompting for Multi-Modal Tracking.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Conditional Patch-Based Domain Randomization: Improving Texture Domain Randomization Using Natural Image Patches.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline.
Proceedings of the Computer Vision - ECCV 2022, 2022

S<sup>2</sup>Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Dual-Fused Modality-Aware Representations for RGBD Tracking.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CroMo: Cross-Modal Learning for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


Content-Diverse Comparisons improve IQA.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

HDR Reconstruction from Bracketed Exposures and Events.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Imagining Hidden Supporting Objects using Volumetric Conditional GANs and Differentiable Stability Scores.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Model-Based Image Signal Processors via Learnable Dictionaries.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Survey on Neural Network Interpretability.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics.
SN Comput. Sci., 2021

Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles.
Mach. Vis. Appl., 2021

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments.
CoRR, 2021

Residual Contrastive Learning for Joint Demosaicking and Denoising.
CoRR, 2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
CoRR, 2021

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels.
CoRR, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

DepthTrack: Unveiling the Power of RGBD Tracking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Depth-only Object Tracking.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments.
Proceedings of the International Conference on 3D Vision, 2021

2020
Cognitive Relevance Transform for Population Re-Targeting.
Sensors, 2020

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks.
Int. J. Comput. Vis., 2020

PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Quantifying the Use of Domain Randomization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Wavelet-Based Dual-Branch Network for Image Demoiréing.
Proceedings of the Computer Vision - ECCV 2020, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Image Demoireing with Learnable Bandpass Filters.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Multi-Hypothesis Approach to Color Constancy.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Guest Editorial.
Int. J. Humanoid Robotics, 2019

Continual learning: A comparative study on how to defy forgetting in classification tasks.
CoRR, 2019

Deep Dexterous Grasping of Novel Objects from a Single View.
CoRR, 2019

Learning Manipulation under Physics Constraints with Visual Perception.
CoRR, 2019

Dynamic grasp and trajectory planning for moving objects.
Auton. Robots, 2019

Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images.
IEEE Access, 2019

Assessing Capsule Networks with Biased Data.
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

AIM 2019 Challenge on Image Demoireing: Dataset and Study.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints.
IEEE Trans. Cybern., 2018

Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos.
Pattern Recognit., 2018

Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images.
CoRR, 2018

Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database.
IEEE Access, 2018

Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data?
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Learning to Exploit Stability for 3D Scene Parsing.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Summary of the 4th International Workshop on Recovering 6D Object Pose.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Spatially-Adaptive Filter Units for Deep Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking.
Pattern Recognit., 2017

Learning part-based spatial models for laser-vision-based room categorization.
Int. J. Robotics Res., 2017

Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
CoRR, 2017

Evaluating Deep Convolutional Neural Networks for Material Classification.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Visual stability prediction for robotic manipulation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

The Visual Object Tracking VOT2017 Challenge Results.
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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Rolling Shutter Correction in Manhattan World.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual Stability Prediction and Its Application to Manipulation.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Visual Object Class Recognition.
Proceedings of the Springer Handbook of Robotics, 2016

Visual Object Tracking Performance Measures Revisited.
IEEE Trans. Image Process., 2016

A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors.
Remote. Sens., 2016

A Novel Performance Evaluation Methodology for Single-Target Trackers.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

One-shot learning and generation of dexterous grasps for novel objects.
Int. J. Robotics Res., 2016

A local-global coupled-layer puppet model for robust online human pose tracking.
Comput. Vis. Image Underst., 2016

Semantic tracking: Single-target tracking with inter-supervised convolutional networks.
CoRR, 2016

A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors.
CoRR, 2016

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction.
CoRR, 2016

Robust visual tracking using template anchors.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Image-based Registration for a Neurosurgical Robot: Comparison Using Iterative Closest Point and Coherent Point Drift Algorithms.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Part-based room categorization for household service robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Hierarchical spatial model for 2D range data based room categorization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Towards deep compositional networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Automatic Selection of the Optimal Local Feature Detector.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes.
Proceedings of the Computer Vision - ECCV 2016, 2016

LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Hardware Implementation of FAST Algorithm for Mobile Applications.
J. Signal Process. Syst., 2015

Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision.
Frontiers Comput. Neurosci., 2015

Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461).
Dagstuhl Reports, 2015

Adding discriminative power to a generative hierarchical compositional model using histograms of compositions.
Comput. Vis. Image Underst., 2015

Categorisation of 3D Objects in Range Images Using Compositional Hierarchies of Parts Based on MDL and Entropy Selection Criteria.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

The Visual Object Tracking VOT2015 Challenge Results.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A real-time tracking and optimised gaze control for a redundant humanoid robot head.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Online Discriminative Kernel Density Estimator With Gaussian Kernels.
IEEE Trans. Cybern., 2014

Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation.
CoRR, 2014

Is my new tracker really better than yours?
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Feature selection for object detection: The best group vs. the group of best.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

Boosting audio chord estimation using multiple classifiers.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

A Compositional Hierarchical Model for Music Information Retrieval.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

A hierarchical approach for joint multi-view object pose estimation and categorization.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Object Categorization from Range Images Using a Hierarchical Compositional Representation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model.
Proceedings of the Computer Vision - ECCV 2014, 2014

Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models.
Proceedings of the British Machine Vision Conference, 2014

2013
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Learning Compositional Hierarchies of a Sensorimotor System.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

A Web-Service for Object Detection Using Hierarchical Models.
Proceedings of the Computer Vision Systems - 9th International Conference, 2013

An Enhanced Adaptive Coupled-Layer LGTracker++.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013


2012
Modeling binding and cross-modal learning in Markov logic networks.
Neurocomputing, 2012

Hierarchical Compositional Representations of Object Structure.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Room classification using a hierarchical representation of space.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning statistically relevant edge structure improves low-level visual descriptors.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Multivariate online kernel density estimation with Gaussian kernels.
Pattern Recognit., 2011

Hyperlinking reality via camera phones.
Mach. Vis. Appl., 2011

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131).
Dagstuhl Reports, 2011

An adaptive coupled-layer visual model for robust visual tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Binding and Cross-Modal Learning in Markov Logic Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
A Two-Stage Dynamic Model for Visual Tracking.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Online pattern recognition and machine learning techniques for computer-vision: Theory and applications.
Image Vis. Comput., 2010

Online kernel density estimation for interactive learning.
Image Vis. Comput., 2010

A framework for visual-context-aware object detection in still images.
Comput. Vis. Image Underst., 2010

Towards correct and informative evaluation methodology for texture classification under varying viewpoint and illumination.
Comput. Vis. Image Underst., 2010

Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Online Discriminative Kernel Density Estimation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection.
Proceedings of the Computer Vision - ECCV 2010, 2010


Categorical Perception.
Proceedings of the Cognitive Systems, 2010

2009
A local-motion-based probabilistic model for visual tracking.
Pattern Recognit., 2009

Editorial Special Issue ECCV 2006.
Int. J. Comput. Vis., 2009

Evaluating multi-class learning strategies in a generative hierarchical framework for object detection.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A computer vision integration model for a multi-modal cognitive system.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning contextual rules for priming object categories in images.
Proceedings of the International Conference on Image Processing, 2009

Formalization of different learning strategies in a continuous domain framework.
Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob 2009), 2009

Learning a hierarchical compositional representation of multiple object classes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection.
Proceedings of the British Machine Vision Conference, 2009

2008
Selecting features for object detection using an AdaBoost-compatible evaluation function.
Pattern Recognit. Lett., 2008

Incremental and robust learning of subspace representations.
Image Vis. Comput., 2008

Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images.
Int. J. Pattern Recognit. Artif. Intell., 2008

Robust Object Detection with Interleaved Categorization and Segmentation.
Int. J. Comput. Vis., 2008

Integrating Visual Context and Object Detection within a Probabilistic Framework.
Proceedings of the Attention in Cognitive Systems, 2008

Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Similarity-based cross-layered hierarchical representation for object categorization.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Weighted and robust learning of subspace representations.
Pattern Recognit., 2007

Context Driven Focus of Attention for Object Detection.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Learning Hierarchical Representations of Object Categories for Robot Vision.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Catadioptric Image-based Rendering for Mobile Robot Localization.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

How Computer Vision Can Help in Outdoor Positioning.
Proceedings of the Ambient Intelligence, European Conference, 2007

Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Structural descriptions in human-assisted robot visual learning.
Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, 2006

Hierarchical Statistical Learning of Generic Parts of Object Structure.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

An Implicit Shape Model for Combined Object Categorization and Segmentation.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Panoramic volumes for robot localization.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
A generalisation of model selection criteria.
Pattern Anal. Appl., 2004

Illumination insensitive recognition using eigenspaces.
Comput. Vis. Image Underst., 2004

Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

04251 - Imaging Beyond the Pinhole Camera.
Proceedings of the Imaging Beyond the Pin-hole Camera. 12th Seminar on Theoretical Foundations of Computer Vision, 13.06., 2004

Workshop on Generic Object Recognition and Categorization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Karhunen-Loéve expansion of a set of rotated templates.
IEEE Trans. Image Process., 2003

Robust localization using an omnidirectional appearance-based subspace model of environment.
Robotics Auton. Syst., 2003

Kernel and subspace methods for computer vision.
Pattern Recognit., 2003

Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

A Framework for Robust and Incremental Self-Localization of a Mobile Robot.
Proceedings of the Computer Vision Systems, Third International Conference, 2003

Weighted and Robust Incremental Method for Subspace Learning.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Robust LDA Classification by Subsampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
Recognizing 2-tone images in grey-level parametric eigenspaces.
Pattern Recognit. Lett., 2002

Multiple eigenspaces.
Pattern Recognit., 2002

Selection of Reference Images for Image-Based Scene Representations.
Computing, 2002

A New Refinement Method for Registration of Range Images Based on Segmented Data.
Computing, 2002

Mobile Robot Localization using an Incremental Eigenspace Model.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Mobile Robot Localization Under Varying Illumination.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Incremental PCA or On-Line Visual Learning and Recognition.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

A Robust PCA Algorithm for Building Representations from Panoramic Images.
Proceedings of the Computer Vision, 2002

2001
View-based object representations using RBF networks.
Image Vis. Comput., 2001

Illumination Insensitive Eigenspaces.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace.
Proceedings of the 3rd International Conference on 3D Digital Imaging and Modeling (3DIM 2001), 28 May, 2001

Robust Methods.
Proceedings of the Digital Image Analysis - Selected Techniques and Applications, 2001

2000
Segmentation and Recovery of Superquadrics
Computational Imaging and Vision 20, Springer, ISBN: 978-94-015-9456-1, 2000

Robust Recognition Using Eigenimages.
Comput. Vis. Image Underst., 2000

Recognizing Objects by Their Appearance Using Eigenimages.
Proceedings of the SOFSEM 2000: Theory and Practice of Informatics, 27th Conference on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 25, 2000

Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Fuzzy C-Means in an MDL-Framework.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multiple Eigenspaces by MDL.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Robust Localization Using Panoramic View-Based Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps.
Proceedings of the Confluence of Computer Vision and Computer Graphics, 2000

1999
MDL Principle for Robust Vector Quantisation.
Pattern Anal. Appl., 1999

On-line Learning of Object Representations.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

Registration of Range Images Based on Segmented Data.
Proceedings of the Computer Analysis of Images and Patterns, 8th International Conference, 1999

Panoramic Eigenimages for Spatial Localisation.
Proceedings of the Computer Analysis of Images and Patterns, 8th International Conference, 1999

1998
Finding optimal neural networks for land use classification.
IEEE Trans. Geosci. Remote. Sens., 1998

Planning Sequences Of Views For 3-D Object Recognition And Pose Determination.
Pattern Recognit., 1998

An efficient MDL-based construction of RBF networks.
Neural Networks, 1998

Proper scale for modeling visual data.
Image Vis. Comput., 1998

Robust Vector Quantization by MDL.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

A robust subspace classifier.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

MDL-based design of vector quantizers.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Robust Recognition of Scaled Eigenimages through a Hierarchical Approach.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
Superquadrics for Segmenting and Modeling Range Data.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Planning Multiple Views for 3-D Object Recognition and Pose Determination.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

Stereo Matching Using M-Estimators.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

Computational Complexity Reduction in Eigenspace Approaches.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

1996
Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation.
Int. J. Comput. Vis., 1996

Choosing Reference Views for Image-Based Representation.
Proceedings of the SOFSEM '96: Theory and Practice of Informatics, 1996

Selection of reference views for image-based representation.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Robust stereo on multiple resolutions.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Automatic Selection of Reference Views for Image-Based Scene Representations.
Proceedings of the Computer Vision, 1996

Dealing with occlusions in the eigenspace approach.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995
Segmentation of range images as the search for geometric parametric models.
Int. J. Comput. Vis., 1995

Grasping Arbitrarily Shaped 3-D Objects from a Pile.
Proceedings of the 1995 International Conference on Robotics and Automation, 1995

ExSel++: A General Framework to Extract Parametric Models.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

Recognition and Pose Determinatn of 3-D Objects Using Multiple Views.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994
Two-dimensional object recognition using multiresolution non-information-preserving shape features.
Pattern Recognit. Lett., 1994

A Robust Approach to Estimation of Parametric Models.
Proceedings of the Theoretical Foundations of Computer Vision, 1994

A Direct Part-Level Segmentation of Range Images Using Volumetric Models.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994

Planning the Optimal Set of Views Using the Max-Min Principle.
Proceedings of the Computer Vision, 1994

A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm.
Proceedings of the Computer Vision, 1994

1993
Planning the Next View Using the Max-Min Principle.
Proceedings of the Computer Analysis of Images and Patterns, 5th International Conference, 1993

1992
Selective scene modeling.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Noninformation-preserving shape features at multiple resolution.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Finding Parametric Curves in an Image.
Proceedings of the Computer Vision, 1992

1990
Color image segmentation with detection of highlights and local illumination induced by inter-reflections.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

Segmentation as the search for the best description of the image in terms of primitives.
Proceedings of the Third International Conference on Computer Vision, 1990


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