A. Leonardis

发表

Combined Object Categorization and Segmentation With an Implicit Shape Model

B. Schiele, B. Leibe, A. Leonardis, 2004 .

Vector Quantization and Minimum Description Length

A. Leonardis, H. Bischof, 1999 .

Robust Object Detection with Interleaved Categorization and Segmentation

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

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.

Illumination Insensitive Eigenspaces

A. Leonardis, H. Bischof, H. Wildenauer, 2001, ICCV.

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

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

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.

Color image segmentation and color constancy

Sang Wook Lee, Ruzena Bajcsy, Aleš Leonardis, 1990, Electronic Imaging.

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.

The Visual Object Tracking VOT 2013 challenge results

Rustam, Chee Seng Chan, Hakki Can Karaimer, 2018 .

The VOT2013 challenge: overview and additional results

Jiri Matas, Matej Kristan, Georg Nebehay, 2014 .

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

The Visual Object Tracking VOT2016 Challenge Results

Zhenyu He, Henry Medeiros, Michael Felsberg, 2016, ECCV Workshops.

The Visual Object Tracking VOT2017 Challenge Results

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

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).

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.

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.

Segmentation of range images as the search for geometric parametric models

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

Robust localization using eigenspace of spinning-images

A. Leonardis, M. Jogan, 2000, Proceedings IEEE Workshop on Omnidirectional Vision (Cat. No.PR00704).

Object Categorization: Learning Hierarchical Compositional Representations of Object Structure

Sanja Fidler, Aleš Leonardis, Marko Boben, 2009 .

Robust Recognition Using Eigenimages

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

Object Categorization: Computer and Human Vision Perspectives

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

Visual Stability Prediction and Its Application to Manipulation pdf

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

MDL Principle for Robust Vector Quantisation

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

Segmentation and Recovery of Superquadrics

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

Computer vision -- ECCV 2006 : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 : proceedings

A. Leonardis, H. Bischof, A. Pinz, 2006 .

The Visual Object Tracking VOT2015 Challenge Results

Zhe, Jin, Philip H. S. Torr, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

University of Birmingham Visual stability prediction for robotic manipulation

Mario Fritz, A. Leonardis, Wenbin Li, 2017 .

Models and Representations for Various Objects , Object Categories , and Places

B. Schiele, B. Leibe, A. Leonardis, 2022 .

The Eighth Visual Object Tracking VOT2020 Challenge Results

Philip H. S. Torr, Seyed Mojtaba Marvasti-Zadeh, Felix Järemo Lawin, 2020, ECCV Workshops.

The Visual Object Tracking VOT2017 Challenge Results

Li, Michael Felsberg, Fahad Shahbaz Khan, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

The Visual Object Tracking VOT2016 Challenge Results

Gao, Philip H. S. Torr, Noor M. Al-Shakarji, 2016, ECCV Workshops.

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking

A. Leonardis, M. Kristan, A. Lukežič, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

On different modes of continuous learning of visual properties

A. Leonardis, B. Ridge, D. Skočaj, 2006 .

A Framework for Continuous Learning of Simple Visual Concepts

Aleš Leonardis, Danijel Skočaj, Barry Ridge, 2007 .

A basic cognitive system for interactive continuous learning of visual concepts

A. Leonardis, G. Kruijff, M. Zillich, 2010 .

Object Detection with Bootstrapped Learning ∗

A. Leonardis, H. Bischof, P. Roth, 2005 .

Title : A System Capable of Robustly Categorising the Objects from the Database in a Real-World Environment

B. Schiele, B. Leibe, A. Leonardis, 2004 .

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

Matthias De Lange, T. Tuytelaars, A. Leonardis, 2019, ArXiv.

Understanding images in biological and computer vision

A. Leonardis, A. Schofield, M. Bloj, 2018, Interface Focus.

University of Birmingham Robust visual tracking using template anchors

A. Leonardis, M. Kristan, Alevs Leonardis, 2016 .

Automatic Selection of Reference Views for Image-Based Scene Representations

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

Color image segmentation with detection of highlights and local illumination induced by inter-reflections

R. Bajcsy, S.W. Lee, A. Leonardis, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

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

A. Leonardis, Laurenz Wiskott, N. Krüger, 2013 .

MODELING SONG SIMILARITY WITH UNSUPERVISED LEARNING

A. Leonardis, M. Marolt, Matevž Pesek, 2019 .

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

Kostas E. Bekris, A. Leonardis, C. Rother, 2022 .

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

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

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images

Steven G. McDonagh, A. Leonardis, Yongxin Yang, 2021, 2106.10070.

Online kernel density estimation for interactive learning

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

A system approach to interactive learning of visual concepts

A. Leonardis, G. Kruijff, M. Zillich, 2010 .

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

Tze Ho Elden Tse, A. Leonardis, K. Kim, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Activity Recognition via Autoregressive Prediction of Velocity Distribution

A. Leonardis, M. Peternel, 2005 .

Determination for Learning Vector Quantization using the Fisher Criterion

A. Leonardis, B. Ridge, D. Skočaj, 2012 .

Multi-modal Learning

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

Superquadrics and Their Geometric Properties

Franc Solina, Aleš Leonardis, Aleš Jaklič, 2000 .

Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics (Extended Abstract)

A. Leonardis, M. Sridharan, Tiago Mota, 2020 .

University of Birmingham Continuously adaptive data fusion and model re- learning for particle filter tracking with multiple features

A. Leonardis, R. Stolkin, M. Oussalah, 2016 .

COMPLEX MODES IDENTIFICATION VIA HILBERT TRANSFORM

A. Leonardis, S. Gabriele, D. Spina, 2010 .

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning

Tinne Tuytelaars, Sarah Parisot, Xu Jia, 2020, ECCV.

Robust Methods

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

Detection Of Ductus In Mammary Gland Tissue By Computer Vision

A. Leonardis, K. Mele, 2003 .

Computer Vision – ECCV 2006

Axel Pinz, Horst Bischof, Aleš Leonardis, 2006, Lecture Notes in Computer Science.

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

A. Leonardis, Slobodan Ilic, Jifei Song, 2022, ArXiv.

Deep neural networks and image classification in biological vision

A. Leonardis, D. Heinke, E. Leek, 2022, Vision Research.

Testing computer vision algorithms over World Wide Web

Franc Solina, Aleš Leonardis, Danijel Skočaj, 1997 .

Segmentation and recovery of superquadrics: computational imaging and vision

Franc Solina, Aleš Leonardis, Aleš Jaklič, 2000 .

How to control the level of detail in the framework of object-level description

Franc Solina, Jaka Krivic, Aleš Leonardis, 1998 .

Iterative construction of CAD models from range images

Franc Solina, Aleš Leonardis, Aleš Jaklič, 1994 .

Shape decomposition using part-models of different granularity

Franc Solina, Aleš Leonardis, A. Leonardis, 1994 .

Segmentor : an object -oriented framework for image segmentation

Franc Solina, Aleš Leonardis, Aleš Jaklič, 1996 .

The Ninth Visual Object Tracking VOT2021 Challenge Results

Yong Wang, Ling Shao, Michael Felsberg, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

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

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

Learning a Model-Driven Variational Network for Deformable Image Registration

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

Kopicki-2015-IJRR-online

Maxime Adjigble, Aleš Leonardis, Renaud Detry, 2015 .

University of Birmingham Spatially-adaptive filter units for compact and efficient deep neural networks

A. Leonardis, M. Kristan, Domen Tabernik, 2020 .

Self-supervised HDR Imaging from Motion and Exposure Cues

A. Leonardis, Eduardo Pérez-Pellitero, Sibi Catley-Chandar, 2022, ArXiv.

Categorical Perception

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

Kernel and subspace methods for computer vision

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

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).

University of Birmingham Hierarchical Object Representations in the Visual Cortex and Computer Vision

A. Leonardis, M. Fallah, A. Rodríguez-Sánchez, 2015 .

University of Birmingham Understanding images in biological and computer vision

A. Leonardis, A. Schofield, M. Bloj, 2018 .

Learning Frequency Domain Priors for Image Demoireing

A. Leonardis, Jiyong Zhang, G. Slabaugh, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

What do deep neural networks tell us about biological vision?

A. Leonardis, D. Heinke, E. Leek, 2022, Vision Research.

Object Categorization: Computer and Human Vision Perspectives

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

Object Categorization: Plate section

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

Object Categorization: Preface

Sven J. Dickinson, Bernt Schiele, Sven Dickinson, 2009 .

FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging

A. Leonardis, G. Slabaugh, T. Tanay, 2022, IEEE Transactions on Image Processing.

Content-Diverse Comparisons improve IQA

Steven G. McDonagh, A. Leonardis, Sarah Parisot, 2022, BMVC.

The Visual Object Tracking VOT2014 Challenge Results

Joost van de Weijer, Philip H. S. Torr, João F. Henriques, 2014, ECCV Workshops.

Subspace Classification in a Robust Framework

Horst Bischof, Florian Pezzei, Aleš Leonardis, 1998 .

Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment

A. Leonardis, Yiren Zhou, Benjamin Busam, 2022, BMVC.

Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation

A. Leonardis, H. Chang, Lin Shen, 2022, ArXiv.

Illumination insensitive eigenspaces

A. Leonardis, H. Bischof, H. Wildenauer, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

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).

Wavelet-Based Network For High Dynamic Range Imaging

A. Leonardis, Xu Jia, Jianzhuang Liu, 2021, Comput. Vis. Image Underst..

Wavelet-Based Dual-Branch Network for Image Demoireing pdf

Shanxin Yuan, Lin Liu, Wengang Zhou, 2020, ECCV.

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.

Formalization of different learning strategies in a continuous domain framework

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

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).

A local-motion-based probabilistic model for visual tracking

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

An Enhanced Adaptive Coupled-Layer LGTracker++

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

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.

Robust LDA Classification by Subsampling

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

Visual Object Class Recognition

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

A Survey on Neural Network Interpretability

Peter Tiňo, Ke Tang, Aleš Leonardis, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification

A. Leonardis, K. Pericleous, A. Phillion, 2019, Scripta Materialia.

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.

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

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

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

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

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

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

How Computer Vision Can Help in Outdoor Positioning

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

Computational Aspects of Color Constancy

Sang Wook Lee, Ruzena Bajcsy, Aleš Leonardis, 1989 .

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

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

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).

An adaptive coupled-layer visual model for robust visual tracking

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

TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders

Tze Ho Elden Tse, A. Leonardis, Hua Chen, 2022, 2022 International Conference on Robotics and Automation (ICRA).

A Multi-Hypothesis Approach to Color Constancy

Steven McDonagh, Benjamin Busam, Sarah Parisot, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cognitive Relevance Transform for Population Re-Targeting

Andrej Košir, Aleš Leonardis, Gregor Koporec, 2020, Sensors.

The Seventh Visual Object Tracking VOT2019 Challenge Results

Zhenyu He, Li, Fahad Shahbaz Khan, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

The Sixth Visual Object Tracking VOT2018 Challenge Results

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

G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features

Wei Chen, Jinming Duan, Ales Leonardis, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

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

Stereo Matching Using M-Estimators

Aleš Leonardis, Christian Menard, A. Leonardis, 1997, CAIP.

Robust stereo on multiple resolutions

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

A Robust Approach to Estimation of Parametric Models

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

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

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

Multivariate online kernel density estimation with Gaussian kernels

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

Finding optimal neural networks for land use classification

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

Assessing Capsule Networks With Biased Data pdf

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

Evaluating Deep Convolutional Neural Networks for Material Classification

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

Hyperlinking reality via camera phones

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

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results

Radu Timofte, Alevs Leonardis, Eduardo P'erez-Pellitero, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Hardware Implementation of FAST Algorithm for Mobile Applications

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

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

A. Leonardis, M. Sridharan, Tiago Mota, 2021, SN Computer Science.

Proper scale for modeling visual data

Franc Solina, Aleš Leonardis, A. Leonardis, 1998, Image Vis. Comput..

Superquadrics for Segmenting and Modeling Range Data

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

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

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

A direct part-level segmentation of range images using volumetric models

F. Solina, A. Leonardis, A. Macerl, 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

Tze Ho Elden Tse, A. Leonardis, K. Kim, 2022, 2208.00874.

The Tenth Visual Object Tracking VOT2022 Challenge Results

Rafael M. O. Cruz, Le Thanh Nguyen-Meidine, Felix Järemo Lawin, 2022, ECCV Workshops.

Conditional Patch-Based Domain Randomization: Improving Texture Domain Randomization Using Natural Image Patches

A. Leonardis, H. Basevi, M. Ani, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

The Visual Object Tracking VOT2015 Challenge Results

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

Rolling Shutter Correction in Manhattan World

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

Prompting for Multi-Modal Tracking

A. Leonardis, Jingkuan Song, Jinyu Yang, 2022, ACM Multimedia.

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks

A. Leonardis, Slobodan Ilic, N. Navab, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

End-to-End Learning to Grasp via Sampling From Object Point Clouds

A. Leonardis, T. Tommasi, A. Alliegro, 2022, IEEE Robotics and Automation Letters.

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

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

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.

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

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

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

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

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).

Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping pdf

Hyung Jin Chang, Aleš Leonardis, Kwang Moo Yi, 2022, Pattern Recognit..

HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation

A. Leonardis, Hua Chen, Wei Zhang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Visual Object Tracking Performance Measures Revisited

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

Deep Dexterous Grasping of Novel Objects from a Single View pdf

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

Dynamic grasp and trajectory planning for moving objects

A. Leonardis, Yasemin Bekiroglu, Marek Kopicki, 2018, Autonomous Robots.

Learning to Exploit Stability for 3D Scene Parsing

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

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

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

Computer Analysis of Images and Patterns

Franc Solina, Alešs Leonardis, A. Leonardis, 2003, Lecture Notes in Computer Science.

Multiple eigenspaces

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

Dynamic grasp and trajectory planning for moving objects

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

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes

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

Quantifying the Use of Domain Randomization

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

End-to-End Learning to Grasp from Object Point Clouds

A. Leonardis, T. Tommasi, A. Alliegro, 2022, ArXiv.

Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints

Yuqing Gao, Jingjing Xiao, Rustam Stolkin, 2018, IEEE Transactions on Cybernetics.

Is my new tracker really better than yours?

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

Selection of Reference Images for Image-Based Scene Representations

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

Image Demoireing with Learnable Bandpass Filters

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

A System for Continuous Learning of Visual Concepts

Nick Hawes, Aleš Leonardis, Danijel Skočaj, 2007 .

The Visual Object Tracking VOT2013 Challenge Results

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

Robust Eigenspace Construction

Aleš Leonardis, Horst Wildenauer, Horst Bischof, 2000 .

Learning Compositional Hierarchies of a Sensorimotor System

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

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

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

Parametric Eigenspace Representations of Panoramic Images

Matjaz Jogan, Aleš Leonardis, A. Leonardis, 2001 .

Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation

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

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.

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).

Sensitivity of modal parameters for damage detection in corroded beam elements of the Pescara benchmark

L Zuccarino, A. Leonardis, C. Valente, 2011 .

Towards deep compositional networks

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

Adding discriminative power to a generative hierarchical compositional model using histograms of compositions

Matej Kristan, Aleš Leonardis, Danijel Skočaj, 2015, Comput. Vis. Image Underst..

Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem

Matthias De Lange, T. Tuytelaars, A. Leonardis, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SymCHM—An Unsupervised Approach for Pattern Discovery in Symbolic Music with a Compositional Hierarchical Model

Matija Marolt, Aleš Leonardis, Matevž Pesek, 2017 .

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Steven G. McDonagh, Sid Ahmed Fezza, Jimmy S. J. Ren, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Cultural influences on personalized e-learning systems

Scotty D. Craig, Kenneth A. Kaufman, Susanne P. Lajoie, 2012 .

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

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

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

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

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).

Integrating Visual Context and Object Detection within a Probabilistic Framework

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

Context Driven Focus of Attention for Object Detection

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

Probabilistic Combination of Visual Context Based Attention and Object Detection

Bernt Schiele, Christian Wojek, Roland Perko, 2008 .

Proceedings of the 9th European conference on Computer Vision - Volume Part I

Axel Pinz, Horst Bischof, Aleš Leonardis, 2006 .

A generalisation of model selection criteria

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

Reverse engineering by means of range image interpretation

Franc Solina, Bojan Kverh, Aleš Leonardis, 1998 .

Sharing Computer Vision Algorithms Over the World Wide Web

Franc Solina, Aleš Leonardis, Danijel Skočaj, 1998 .

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

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

Hierarchical, Adaptive, and Robust Methods for Image Understanding

Horst Bischof, Walter G. Kropatsch, Ales Leonardis, 1999 .

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection pdf

Steven McDonagh, Philip H. S. Torr, Sarah Parisot, 2020, ECCV.

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.

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..

On-line Conservative Learning for Person Detection

A. Leonardis, D. Skocaj, P.M. Roth, 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort

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

Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database

Aleš Leonardis, Shoaib Ehsan, Klaus D. McDonald-Maier, 2015, IEEE Access.

Residual Contrastive Learning for Joint Demosaicking and Denoising pdf

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

S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

Tze Ho Elden Tse, A. Leonardis, K. Kim, 2022, ECCV.

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).

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.

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches

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

The Visual Object Tracking VOT2014 Challenge Results

Joost van de Weijer, Philip H. S. Torr, João F. Henriques, 2014, ECCV Workshops.

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

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

Robust visual tracking using template anchors

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

HDR Reconstruction from Bracketed Exposures and Events

A. Leonardis, Eduardo Pérez-Pellitero, Sibi Catley-Chandar, 2022, BMVC.

Weighted and robust incremental method for subspace learning

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

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.

Online Discriminative Kernel Density Estimator With Gaussian Kernels

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

VOTRGBD2021 training dataset

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

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

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

Robust localization using panoramic view-based recognition

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

Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images

Aleš Leonardis, Maria Fasli, Shoaib Ehsan, 2018, IEEE Access.

Self-Supervised Online Learning of Basic Object Push Affordances

Ales Ude, Danijel Skočaj, Barry Ridge, 2015 .

Room Categorization Based on a Hierarchical Representation of Space

Matej Kristan, Aleš Leonardis, Peter Ursic, 2013 .

Modeling binding and cross-modal learning in Markov logic networks

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

Weighted and robust learning of subspace representations

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

PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation

Jinming Duan, Ales Leonardis, Wei Chen, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Robust Vector Quantization by MDL

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

Image Denoising and the Generative Accumulation of Photons

A. Leonardis, Alexander Krull, F. Muller, 2023, ArXiv.

Object Categorization: Computer and Human Vision Perspectives

B. Schiele, A. Leonardis, M. Tarr, 2022 .

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

A. Leonardis, S. Fidler, Marko Boben, 2014, ArXiv.

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

A. Leonardis, Laurenz Wiskott, N. Krüger, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Robust PCA Algorithm for Building Representations from Panoramic Images

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

Online Discriminative Kernel Density Estimation

A. Leonardis, M. Kristan, 2010, 2010 20th International Conference on Pattern Recognition.

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

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

University of Birmingham Robust fusion of colour and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints

A. Leonardis, R. Stolkin, Yuqing Gao, 2017 .

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

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

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.

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Philip H. S. Torr, Noor M. Al-Shakarji, Rafael Martin Nieto, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

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

A. Leonardis, R. Stolkin, Miao Ma, 2017 .

Segmentation and Recovery of Superquadrics

A. Leonardis, F. Solina, A. Jaklič, 2000, Computational Imaging and Vision.

Multi-task Learning with 3D-Aware Regularization

A. Leonardis, Wei-Hong Li, Steven McDonagh, 2023, ArXiv.

Resource-Efficient RGBD Aerial Tracking

A. Leonardis, Shang Gao, Jinyu Yang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

A. Leonardis, A. Markham, Bo Yang, 2021, ECCV.

Motor memory: Representation, learning and consolidation

Aleš Leonardis, Jure Žabkar, A. Leonardis, 2016, BICA 2016.

Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations

A. Leonardis, T. Tanay, Matteo Maggioni, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis

Rolandos Alexandros Potamias, Foivos Paraperas Papantoniou, A. Leonardis, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

A Continual Learning Survey: Defying Forgetting in Classification Tasks

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

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.

Structural descriptions in human-assisted robot visual learning

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

Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking

Jingjing Xiao, Rustam Stolkin, Ale Leonardis, 2017, Pattern Recognit..

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement

Tze Ho Elden Tse, A. Leonardis, Hua Chen, 2024, ArXiv.

Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement

A. Leonardis, Wei Chen, Zhongqun Zhang, 2022, ECCV Workshops.