Ales Leonardis

发表

A Robust PCA Algorithm for Building Representations from Panoramic Images

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2002, ECCV.

A Continual Learning Survey: Defying Forgetting in Classification Tasks

Tinne Tuytelaars, Ales Leonardis, Matthias De Lange, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Structural descriptions in human-assisted robot visual learning

John D. Kelleher, Ales Leonardis, Geert-Jan M. Kruijff, 2006, HRI '06.

Online Discriminative Kernel Density Estimation

Ales Leonardis, Matej Kristan, 2010, 2010 20th International Conference on Pattern Recognition.

Evaluating Deep Convolutional Neural Networks for Material Classification

Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier, 2017, VISIGRAPP.

A computer vision integration model for a multi-modal cognitive system

Danijel Skocaj, Ales Leonardis, Nick Hawes, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data?

Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier, 2017, VISIGRAPP.

LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode

Antonio M. López, Ales Leonardis, Aura Hernández-Sabaté, 2016, ECCV Workshops.

MDL Principle for Robust Vector Quantisation

Horst Bischof, Ales Leonardis, Alexander Selb, 1999, Pattern Analysis & Applications.

Mobile robot localization under varying illumination

Horst Bischof, Ales Leonardis, Matjaz Jogan, 2002, Object recognition supported by user interaction for service robots.

Registration of Range Images Based on Segmented Data

Ales Leonardis, Bojan Kverh, 1999, CAIP.

Categorical Perception

Sanja Fidler, Bernt Schiele, Mario Fritz, 2010, Cognitive Systems.

A robust subspace classifier

Horst Bischof, Ales Leonardis, Florian Pezzei, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Continual learning: A comparative study on how to defy forgetting in classification tasks pdf

Xu Jia, Tinne Tuytelaars, Ales Leonardis, 2019, ArXiv.

The Visual Object Tracking VOT2015 Challenge Results

Michael Felsberg, Jiri Matas, Gustav Häger, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Finding optimal neural networks for land use classification

Horst Bischof, Ales Leonardis, A. Leonardis, 1998, IEEE Trans. Geosci. Remote. Sens..

Segmentation and Recovery of Superquadrics

Franc Solina, Ales Leonardis, Ales Jaklic, 2000, Computational Imaging and Vision.

Range image acquisition of objects with non-uniform albedo using structured light range sensor

Danijel Skocaj, Ales Leonardis, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Integrating Visual Context and Object Detection within a Probabilistic Framework

Bernt Schiele, Ales Leonardis, Christian Wojek, 2009, WAPCV.

A framework for visual-context-aware object detection in still images

Ales Leonardis, Roland Perko, A. Leonardis, 2010, Comput. Vis. Image Underst..

A local-global coupled-layer puppet model for robust online human pose tracking

Yibin Li, Ales Leonardis, Miao Ma, 2016, Comput. Vis. Image Underst..

Visual Stability Prediction and Its Application to Manipulation pdf

Mario Fritz, Ales Leonardis, Wenbin Li, 2016, AAAI Spring Symposia.

A local-motion-based probabilistic model for visual tracking

Ales Leonardis, Matej Kristan, Stanislav Kovacic, 2009, Pattern Recognit..

Learning part-based spatial models for laser-vision-based room categorization

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2017, Int. J. Robotics Res..

Binding and Cross-Modal Learning in Markov Logic Networks

Danijel Skocaj, Ales Leonardis, Alen Vrecko, 2011, ICANNGA.

The Visual Object Tracking VOT2017 Challenge Results

Michael Felsberg, Huchuan Lu, Lei Zhang, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Image-based Registration for a Neurosurgical Robot: Comparison Using Iterative Closest Point and Coherent Point Drift Algorithms

Ales Leonardis, Hamid Dehghani, Iain B. Styles, 2016, MIUA.

Is my new tracker really better than yours?

Ales Leonardis, Matej Kristan, Luka Cehovin, 2014, IEEE Winter Conference on Applications of Computer Vision.

Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance

Ales Leonardis, Spela Ivekovic, 2003, Scale-Space.

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg, Jiri Matas, Gustav Häger, 2015, ICCV Workshops.

Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models

Ales Leonardis, Jingjing Xiao, Rustam Stolkin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchical spatial model for 2D range data based room categorization

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes

Sanja Fidler, Ales Leonardis, Marko Boben, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors

Ales Leonardis, Dusan Omercevic, Ondrej Drbohlav, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Incremental PCA for on-line visual learning and recognition

Ales Leonardis, Matjaz Jogan, Matej Artac, 2002, Object recognition supported by user interaction for service robots.

Diagnosing and Preventing Instabilities in Recurrent Video Processing pdf

Ales Leonardis, Gregory Slabaugh, Matteo Maggioni, 2020, ArXiv.

Modeling binding and cross-modal learning in Markov logic networks

Danijel Skocaj, Ales Leonardis, Alen Vrecko, 2012, Neurocomputing.

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Radu Timofte, Nan Nan, Erwan Nogues, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning to Exploit Stability for 3D Scene Parsing

Zhijian Liu, Jiajun Wu, Joshua B. Tenenbaum, 2018, NeurIPS.

Segmentation of range images as the search for geometric parametric models

Ruzena Bajcsy, Ales Leonardis, Alok Gupta, 1995, International Journal of Computer Vision.

Continuously Adaptive Data Fusion and Model Relearning for Particle Filter Tracking With Multiple Features

Mourad Oussalah, Ales Leonardis, Jingjing Xiao, 2016, IEEE Sensors Journal.

Multiple eigenspaces

Horst Bischof, Ales Leonardis, Jasna Maver, 2002, Pattern Recognit..

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help? pdf

Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier, 2017, VISIGRAPP.

Planning the Next View Using the Max-Min Principle

Franc Solina, Ales Leonardis, Jasna Maver, 1993, CAIP.

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

Sinan Kalkan, Justus H. Piater, Ales Leonardis, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sanja Fidler, Ales Leonardis, Marko Boben, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Assessing Capsule Networks With Biased Data pdf

Ales Leonardis, Klaus D. McDonald-Maier, Shoaib Ehsan, 2019, SCIA.

A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model

Ales Leonardis, Mete Ozay, Jeremy L. Wyatt, 2014, ECCV.

Weighted and robust incremental method for subspace learning

Danijel Skocaj, Ales Leonardis, A. Leonardis, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction pdf

Mario Fritz, Ales Leonardis, Wenbin Li, 2016, ArXiv.

A Robust Approach to Estimation of Parametric Models

Ales Leonardis, A. Leonardis, 1994, Theoretical Foundations of Computer Vision.

Learning contextual rules for priming object categories in images

Lucas Paletta, Ales Leonardis, Roland Perko, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling

Sanja Fidler, Danijel Skocaj, Ales Leonardis, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models

Ales Leonardis, Jingjing Xiao, Rustam Stolkin, 2014, BMVC.

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes

Ales Leonardis, Jingjing Xiao, Rustam Stolkin, 2016, ECCV.

Recognizing 2-tone images in grey-level parametric eigenspaces

Ales Leonardis, Jasna Maver, 2002, Pattern Recognit. Lett..

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions pdf

Mario Fritz, Ales Leonardis, Mateusz Malinowski, 2018, ECCV Workshops.

Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem.

Steven McDonagh, Xing Zhang, Ales Leonardis, 2018, 1811.11788.

Categorisation of 3D Objects in Range Images Using Compositional Hierarchies of Parts Based on MDL and Entropy Selection Criteria

Krzysztof Walas, Ales Leonardis, Vladislav Kramarev, 2015, SCIA.

Kernel and subspace methods for computer vision

Horst Bischof, Ales Leonardis, A. Leonardis, 2003, Pattern Recognit..

Robust recognition and pose determination of 3-D objects using range images in eigenspace approach

Danijel Skocaj, Ales Leonardis, 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

The Sixth Visual Object Tracking VOT2018 Challenge Results

Michael Felsberg, Huchuan Lu, Fahad Shahbaz Khan, 2018, ECCV Workshops.

AIM 2019 Challenge on Image Demoireing: Dataset and Study

Radu Timofte, Shanxin Yuan, Ales Leonardis, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes

Ales Leonardis, Mete Ozay, Jeremy L. Wyatt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

The Visual Object Tracking VOT2013 Challenge Results

Michael Felsberg, Jiri Matas, Yang Li, 2013, ICCV 2013.

Robust Methods

Horst Bischof, Ales Leonardis, Horst Bischof, 2001, Digital Image Analysis.

Part-based room categorization for household service robots

Ales Leonardis, Matej Kristan, Peter Ursic, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Hierarchical Statistical Learning of Generic Parts of Object Structure

Sanja Fidler, Ales Leonardis, Gregor Berginc, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking

Ales Leonardis, Matej Kristan, Luka Cehovin Zajc, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Panoramic Eigenimages for Spatial Localisation

Ales Leonardis, Matjaz Jogan, 1999, CAIP.

Deep Dexterous Grasping of Novel Objects from a Single View pdf

Ales Leonardis, Chao Zhao, Jeremy L. Wyatt, 2019, Int. J. Humanoid Robotics.

A real-time tracking and optimised gaze control for a redundant humanoid robot head

Ales Leonardis, Jingjing Xiao, Valerio Ortenzi, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

The Visual Object Tracking VOT2013 Challenge Results

Michael Felsberg, Seunghoon Hong, Bohyung Han, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

A Web-Service for Object Detection Using Hierarchical Models

Ales Leonardis, Matej Kristan, Luka Cehovin, 2013, ICVS.

Learning Manipulation under Physics Constraints with Visual Perception pdf

Wenbin Li, Mario Fritz, Jeannette Bohg, 2019, ArXiv.

Robust Object Detection with Interleaved Categorization and Segmentation

Bernt Schiele, Ales Leonardis, Bastian Leibe, 2008, International Journal of Computer Vision.

Selection of reference views for image-based representation

Václav Hlavác, Ales Leonardis, Tomás Pajdla, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A Survey on Neural Network Interpretability pdf

Peter Tiño, Ales Leonardis, Ke Tang, 2020, ArXiv.

Incremental and robust learning of subspace representations

Danijel Skocaj, Ales Leonardis, 2008, Image Vis. Comput..

Multi-modal Learning

Bernt Schiele, Mario Fritz, Danijel Skocaj, 2010, Cognitive Systems.

Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation

Sang Wook Lee, Ruzena Bajcsy, Ales Leonardis, 1996, International Journal of Computer Vision.

Towards Categorization and Pose Estimation of Sets of Occluded Objects in Cluttered Scenes from Depth Data and Generic Object Models Using Joint Parsing

Ales Leonardis, Hector Basevi, 2016, ECCV Workshops.

Segmentation as the search for the best description of the image in terms of primitives

Ruzena Bajcsy, Ales Leonardis, Alok Gupta, 1990, [1990] Proceedings Third International Conference on Computer Vision.

ExSel++: A General Framework to Extract Parametric Models

Ales Leonardis, Markus Stricker, 1995, CAIP.

Learning Compositional Hierarchies of a Sensorimotor System

Ales Leonardis, Jure Zabkar, A. Leonardis, 2013, IDA.

Object Categorization from Range Images Using a Hierarchical Compositional Representation

Ales Leonardis, Jeremy L. Wyatt, Sebastian Zurek, 2014, 2014 22nd International Conference on Pattern Recognition.

Weighted and robust learning of subspace representations

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2007, Pattern Recognit..

Online pattern recognition and machine learning techniques for computer-vision: Theory and applications

Bogdan Raducanu, Jordi Vitrià, Ales Leonardis, 2010, Image Vis. Comput..

An efficient MDL-based construction of RBF networks

Horst Bischof, Ales Leonardis, A. Leonardis, 1998, Neural Networks.

Superquadrics for Segmenting and Modeling Range Data

Franc Solina, Ales Leonardis, Ales Jaklic, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Planning Multiple Views for 3-D Object Recognition and Pose Determination

Franjo Pernus, Ales Leonardis, Stanislav Kovacic, 1997, CAIP.

Recognition and Pose Determinatn of 3-D Objects Using Multiple Views

Franjo Pernus, Ales Leonardis, Stanislav Kovacic, 1995, CAIP.

How Computer Vision Can Help in Outdoor Positioning

Bernt Schiele, Ulrich Steinhoff, Ales Leonardis, 2007, AmI.

Towards deep compositional networks

Ales Leonardis, Matej Kristan, Jeremy L. Wyatt, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A Novel Performance Evaluation Methodology for Single-Target Trackers

Jiri Matas, Roman P. Pflugfelder, Ales Leonardis, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection

Ales Leonardis, Matej Kristan, Domen Tabernik, 2013, SCIA.

Visual Object Tracking Performance Measures Revisited

Ales Leonardis, Matej Kristan, Luka Cehovin, 2015, IEEE Transactions on Image Processing.

Advances in Autonomous Robotics Systems

Chris Melhuish, Mark Witkowski, Ales Leonardis, 2014, Lecture Notes in Computer Science.

A Two-Stage Dynamic Model for Visual Tracking

Ales Leonardis, Matej Kristan, Stanislav Kovacic, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Robust Recognition Using Eigenimages

Horst Bischof, Ales Leonardis, A. Leonardis, 2000, Comput. Vis. Image Underst..

Robust visual tracking using template anchors

Ales Leonardis, Matej Kristan, Luka Cehovin, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

AIM 2019 Challenge on Image Demoireing: Methods and Results

Radu Timofte, Shanxin Yuan, Ales Leonardis, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Formalization of different learning strategies in a continuous domain framework

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2009, EpiRob.

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131)

Peter Dayan, Ales Leonardis, Jan Peters, 2011, Dagstuhl Reports.

Fuzzy c-means in an MDL-framework

Horst Bischof, Ales Leonardis, Alexander Selb, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Visual stability prediction for robotic manipulation

Mario Fritz, Ales Leonardis, Wenbin Li, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Workshop on Generic Object Recognition and Categorization

Sven J. Dickinson, Bernt Schiele, Ales Leonardis, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

04251 - Imaging Beyond the Pinhole Camera

Reinhard Klette, Ales Leonardis, Kostas Daniilidis, 2004, Imaging Beyond the Pin-hole Camera. 12th Seminar on Theoretical Foundations of Computer Vision.

Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images

Ales Leonardis, Matjaz Jogan, Ales Stimec, 2008, Int. J. Pattern Recognit. Artif. Intell..

Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories

Ales Leonardis, E. AmirM.Ghalamzan, Rustam Stolkin, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Hyperlinking reality via camera phones

Ales Leonardis, Dusan Omercevic, 2009, CHI Extended Abstracts.

Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems

Danijel Skocaj, Ales Leonardis, Barry Ridge, 2010, 2010 IEEE International Conference on Robotics and Automation.

Two-dimensional object recognition using multiresolution non-information-preserving shape features

Franjo Pernus, Ales Leonardis, Stanislav Kovacic, 1994, Pattern Recognit. Lett..

Learning Hierarchical Representations of Object Categories for Robot Vision

Sanja Fidler, Ales Leonardis, 2007, ISRR.

Dynamic grasp and trajectory planning for moving objects

Ales Leonardis, Maxime Adjigble, Rustam Stolkin, 2018, Autonomous Robots.

Context Driven Focus of Attention for Object Detection

Ales Leonardis, Roland Perko, A. Leonardis, 2008, WAPCV.

Multiple eigenspaces by MDL

Horst Bischof, Ales Leonardis, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Robust LDA Classification by Subsampling

Sanja Fidler, Ales Leonardis, A. Leonardis, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Visual learning and recognition of a probabilistic spatio-temporal model of cyclic human locomotion

Ales Leonardis, Miha Peternel, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)

Atsushi Imiya, Ales Leonardis, Tomás Pajdla, 2015, Dagstuhl Reports.

An Enhanced Adaptive Coupled-Layer LGTracker++

Ales Leonardis, Jingjing Xiao, Rustam Stolkin, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Automatic Selection of Reference Views for Image-Based Scene Representations

Václav Hlavác, Ales Leonardis, Tomás Werner, 1996, ECCV.

Robust stereo on multiple resolutions

Ales Leonardis, Christian Menard, A. Leonardis, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Robust localization using panoramic view-based recognition

Ales Leonardis, Matjaz Jogan, A. Leonardis, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

An adaptive coupled-layer visual model for robust visual tracking

Ales Leonardis, Matej Kristan, Luka Cehovin, 2011, 2011 International Conference on Computer Vision.

One-shot learning and generation of dexterous grasps for novel objects

Ales Leonardis, Maxime Adjigble, Rustam Stolkin, 2016, Int. J. Robotics Res..

Grasping arbitrarily shaped 3-D objects from a pile

Ales Leonardis, Marjan Trobina, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model

Ales Leonardis, Matej Kristan, Luka Cehovin, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2007, BMVC.

Towards correct and informative evaluation methodology for texture classification under varying viewpoint and illumination

Ales Leonardis, Ondrej Drbohlav, A. Leonardis, 2010, Comput. Vis. Image Underst..

Feature selection for object detection: The best group vs. the group of best

Ales Leonardis, Luka Fürst, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm

Franc Solina, Ales Leonardis, Alenka Macerl, 1994, ECCV.

Selecting features for object detection using an AdaBoost-compatible evaluation function

Sanja Fidler, Ales Leonardis, Luka Fürst, 2008, Pattern Recognit. Lett..

MDL-based design of vector quantizers

Horst Bischof, Ales Leonardis, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Image Demoireing with Learnable Bandpass Filters

Shanxin Yuan, Ales Leonardis, Bolun Zheng, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Catadioptric Image-based Rendering for Mobile Robot Localization

Ales Leonardis, Hynek Bakstein, 2007, 2007 IEEE 11th International Conference on Computer Vision.

A hierarchical approach for joint multi-view object pose estimation and categorization

Krzysztof Walas, Ales Leonardis, Mete Ozay, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Dealing with occlusions in the eigenspace approach

Horst Bischof, Ales Leonardis, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Planning Sequences Of Views For 3-D Object Recognition And Pose Determination

Franjo Pernus, Ales Leonardis, Stanislav Kovacic, 1998, Pattern Recognit..

Panoramic volumes for robot localization

Ales Leonardis, Hynek Bakstein, Matjaz Jogan, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Hyperlinking reality via camera phones

Ales Leonardis, Dusan Omercevic, A. Leonardis, 2009, Machine Vision and Applications.

Illumination insensitive recognition using eigenspaces

Horst Bischof, Ales Leonardis, Horst Wildenauer, 2004, Comput. Vis. Image Underst..

Recognizing Objects by Their Appearance Using Eigenimages

Horst Bischof, Ales Leonardis, 2000, SOFSEM.

A New Refinement Method for Registration of Range Images Based on Segmented Data

Ales Leonardis, Bojan Kverh, 2002, Computing.

A generalisation of model selection criteria

Ales Leonardis, Bojan Kverh, A. Leonardis, 2004, Pattern Analysis and Applications.

Finding Parametric Curves in an Image

Ruzena Bajcsy, Ales Leonardis, 1992, ECCV.

Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2016, VISAPP.

Editorial Special Issue ECCV 2006

Horst Bischof, Ales Leonardis, 2008, International Journal of Computer Vision.

Hierarchical Compositional Representations of Object Structure

Ales Leonardis, 2012, SSPR/SPR.

Automatic Selection of the Optimal Local Feature Detector

Ales Leonardis, Klaus D. McDonald-Maier, Shoaib Ehsan, 2016, ICIAR.

Mobile robot localization using an incremental eigenspace model

Ales Leonardis, Matjaz Jogan, Matej Artac, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

Online Discriminative Kernel Density Estimator With Gaussian Kernels

Ales Leonardis, Matej Kristan, A. Leonardis, 2014, IEEE Transactions on Cybernetics.

Evaluating multi-class learning strategies in a generative hierarchical framework for object detection

Sanja Fidler, Ales Leonardis, Marko Boben, 2009, NIPS.

Computational Complexity Reduction in Eigenspace Approaches

Horst Bischof, Ales Leonardis, 1997, CAIP.

A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors

Ales Leonardis, Klaus D. McDonald-Maier, Shoaib Ehsan, 2016, Remote. Sens..

Boosting audio chord estimation using multiple classifiers

Ales Leonardis, Matija Marolt, Matevz Pesek, 2014, IWSSIP 2014 Proceedings.

A Compositional Hierarchical Model for Music Information Retrieval

Ales Leonardis, Matija Marolt, Matevz Pesek, 2014, ISMIR.

Online kernel density estimation for interactive learning

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2010, Image Vis. Comput..

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort

Horst Bischof, Danijel Skocaj, Ales Leonardis, 2005, DAGM-Symposium.

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Zhenyu He, Michael Felsberg, Ming Tang, 2016, ECCV Workshops.

Data-driven human grasp movement analysis

Antonio Bicchi, Ales Leonardis, Marco Gabiccini, 2016 .

Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps

Danijel Skocaj, Ales Leonardis, 2000, Confluence of Computer Vision and Computer Graphics.

Selection of Reference Images for Image-Based Scene Representations

Václav Hlavác, Ales Leonardis, Tomás Pajdla, 2002, Computing.

Rolling Shutter Correction in Manhattan World

Ales Leonardis, Christopher Zach, Pulak Purkait, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Robust recognition of scaled eigenimages through a hierarchical approach

Horst Bischof, Ales Leonardis, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Choosing Reference Views for Image-Based Representation

Václav Hlavác, Ales Leonardis, Tomás Pajdla, 1996, SOFSEM.

Guest Editorial

Tamim Asfour, Ales Leonardis, Hsiu-Chin Lin, 2019, Int. J. Humanoid Robotics.

A Framework for Robust and Incremental Self-Localization of a Mobile Robot

Danijel Skocaj, Ales Leonardis, Matjaz Jogan, 2003, ICVS.

Robust Vector Quantization by MDL

Horst Bischof, Ales Leonardis, A. Leonardis, 1998, ICSC Symposium on Neural Computation.

Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection

Sanja Fidler, Ales Leonardis, Marko Boben, 2009, BMVC.

A Summary of the 4th International Workshop on Recovering 6D Object Pose

Vincent Lepetit, Krzysztof Walas, Jiri Matas, 2018, ECCV Workshops.

Room classification using a hierarchical representation of space

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Multivariate online kernel density estimation with Gaussian kernels

Danijel Skocaj, Ales Leonardis, Matej Kristan, 2011, Pattern Recognit..

Visual Object Class Recognition

Bernt Schiele, Ales Leonardis, Michael Stark, 2016, Springer Handbook of Robotics, 2nd Ed..

An Implicit Shape Model for Combined Object Categorization and Segmentation

Bernt Schiele, Ales Leonardis, Bastian Leibe, 2006, Toward Category-Level Object Recognition.

A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection

Sanja Fidler, Ales Leonardis, Marko Boben, 2010, ECCV.

Semantic tracking: Single-target tracking with inter-supervised convolutional networks pdf

Ales Leonardis, Jingjing Xiao, Qiang Lan, 2016, ArXiv.

Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision

Ales Leonardis, Antonio Jose Rodríguez-Sánchez, Mazyar Fallah, 2015, Front. Comput. Neurosci..

Hardware Implementation of FAST Algorithm for Mobile Applications

Ales Leonardis, Nikolaj Zimic, Jaka Krivic, 2015, J. Signal Process. Syst..

View-based object representations using RBF networks

Horst Bischof, Ales Leonardis, 2001, Image Vis. Comput..

Learning statistically relevant edge structure improves low-level visual descriptors

Ales Leonardis, Matej Kristan, Domen Tabernik, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation pdf

Sanja Fidler, Ales Leonardis, Marko Boben, 2014, ArXiv.

Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos

Yibin Li, Ales Leonardis, Miao Ma, 2018, Pattern Recognit..

Learning a hierarchical compositional representation of multiple object classes

Ales Leonardis, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

Ales Leonardis, Matej Kristan, Domen Tabernik, 2019, International Journal of Computer Vision.

Spatially-Adaptive Filter Units for Deep Neural Networks

Ales Leonardis, Matej Kristan, Domen Tabernik, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robust localization using an omnidirectional appearance-based subspace model of environment

Ales Leonardis, Matjaz Jogan, A. Leonardis, 2003, Robotics Auton. Syst..

Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts

Sanja Fidler, Ales Leonardis, A. Leonardis, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Recovery of Eigenimages in the Presence of Outliers and Occlusions

Ales Leonardis, Horst Bischof, 1996 .

Quantifying the Use of Domain Randomization

Ales Leonardis, Hector Basevi, Mohammad Ani, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

Ales Leonardis, Hyung Jin Chang, Wei Chen, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Nassir Navab, Nikolas Brasch, Ales Leonardis, 2021, 2021 International Conference on 3D Vision (3DV).

Learning a Model-Driven Variational Network for Deformable Image Registration

Daniel Rueckert, Ales Leonardis, Hyung Jin Chang, 2021, IEEE Transactions on Medical Imaging.

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels pdf

Ales Leonardis, Qingyong Hu, Yulan Guo, 2021, ECCV.

Depth-only Object Tracking pdf

Joni-Kristian Kämäräinen, Ales Leonardis, Song Yan, 2021, ArXiv.

DepthTrack: Unveiling the Power of RGBD Tracking pdf

Joni-Kristian Kämäräinen, Ales Leonardis, Jani Käpylä, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Residual Contrastive Learning for Joint Demosaicking and Denoising pdf

Ales Leonardis, Yongxin Yang, Matteo Maggioni, 2021, ArXiv.

Wavelet-Based Network For High Dynamic Range Imaging pdf

Shanxin Yuan, Ales Leonardis, Youliang Yan, 2021, ArXiv.

VOTRGBD2021 training dataset

Ales Leonardis, Joni-Kristian Kamarainen, Jani Käpylä, 2021 .

Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics

Ales Leonardis, Mohan Sridharan, Tiago Mota, 2021, SN Comput. Sci..

Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles

Ales Leonardis, Hyung Jin Chang, Jin Young Choi, 2021, Machine Vision and Applications.

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Radu Timofte, Kiyoharu Aizawa, Ales Leonardis, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).