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Diagnosing and Preventing Instabilities in Recurrent Video Processing

Oct 17, 2020
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip Torr, Ales Leonardis, Gregory Slabaugh


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

Aug 26, 2020
Carlo Biffi, Steven McDonagh, Philip Torr, Ales Leonardis, Sarah Parisot

* Accepted at ECCV 2020. Camera-ready version and Appendices 

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Wavelet-Based Dual-Branch Network for Image Demoireing

Jul 17, 2020
Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian

* Accepted to ECCV 2020 

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NTIRE 2020 Challenge on Image Demoireing: Methods and Results

May 06, 2020
Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P S, Jiji C V, Ashish Sinha, Xuan Zhao

* CVPRW 2020 

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Image Demoireing with Learnable Bandpass Filters

Apr 01, 2020
Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis

* Accepted by CVPR2020. Code is available at https://github.com/zhenngbolun/Learnbale_Bandpass_Filter 

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

Mar 30, 2020
Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

* CVPR 2020 

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

Mar 26, 2020
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis

* 10 pages, 11 figures, accepted in CVPR 2020 

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A Multi-Hypothesis Approach to Color Constancy

Mar 02, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

* Accepted for publication at CVPR2020 

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A Multi-Hypothesis Classification Approach to Color Constancy

Feb 28, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

* Accepted at CVPR2020 

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AIM 2019 Challenge on Image Demoireing: Methods and Results

Nov 08, 2019
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan

* arXiv admin note: text overlap with arXiv:1911.02498 

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AIM 2019 Challenge on Image Demoireing: Dataset and Study

Nov 06, 2019
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis


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

Sep 18, 2019
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars


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Deep Dexterous Grasping of Novel Objects from a Single View

Aug 10, 2019
Umit Rusen Aktas, Chao Zhao, Marek Kopicki, Ales Leonardis, Jeremy L. Wyatt

* Submitted for IEEE Transactions on Robotics (T-RO). 14 pages 

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

Oct 09, 2018
Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas

* In: Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-9 and 14, 2018, Proceedings 

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

May 12, 2018
Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Klaus McDonald-Maier

* 19 pages, 13 figures; Submitted to PLOS ONE 

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

Nov 09, 2017
Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

* accepted for publication in VISAPP 2018. arXiv admin note: text overlap with arXiv:1703.04101 

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

Oct 13, 2017
Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis, Naveed Ur Rehman, Klaus D. McDonald-Maier

* Extended version of the conference paper available at http://ieeexplore.ieee.org/abstract/document/7314191/?reload=true 

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

Mar 16, 2017
Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

* In Proceedings of the 12th International Conference on Computer Vision Theory and Applications (VISAPP 2017), 8 pages 

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Evaluating Deep Convolutional Neural Networks for Material Classification

Mar 16, 2017
Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier

* In Proceedings of the 12th International Conference on Computer Vision Theory and Applications (VISAPP 2017), 7 pages 

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

Nov 19, 2016
Jingjing Xiao, Qiang Lan, Linbo Qiao, Ales Leonardis


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Automatic Selection of the Optimal Local Feature Detector

May 19, 2016
Bruno Ferrarini, Shoaib Ehsan, Naveed Ur Rehman, Ales Leonardis, Klaus D. McDonald-Maier

* pre-print version 

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

May 19, 2016
Shoaib Ehsan, Adrian F. Clark, Ales Leonardis, Naveed ur Rehman, Klaus D. McDonald-Maier

* Journal version 

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A Novel Performance Evaluation Methodology for Single-Target Trackers

Jan 08, 2016
Matej Kristan, Jiri Matas, Ales Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, Luka Cehovin

* Final version (Accepted), IEEE Pattern Analysis and Machine Intelligence, 2016 

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A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization

Mar 04, 2015
Mete Ozay, Krzysztof Walas, Ales Leonardis

* Proceedings of IEEE International Conference on Robotics and Automation (ICRA), pp. 5480 - 5487, Hong Kong, 2014 
* 7 Figures 

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

Jan 23, 2015
Umit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt

* Paper : 17 pages. 13th European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III, pp 566-581. Supplementary material can be downloaded from http://link.springer.com/content/esm/chp:10.1007/978-3-319-10578-9_37/file/MediaObjects/978-3-319-10578-9_37_MOESM1_ESM.pdf 

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

Aug 23, 2014
Sanja Fidler, Marko Boben, Ales Leonardis


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