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ORCIDJiri Matas
Jirí Matas – George Matas
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2020 – today
- 2024
[j76]Alan Lukezic
, Ziga Trojer, Jirí Matas, Matej Kristan:
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking. Int. J. Comput. Vis. 132(8): 2729-2742 (2024)- [j75]Yasuyuki Matsushita, Svetlana Lazebnik, Jiri Matas:
In Memoriam: Xiaoou Tang. Int. J. Comput. Vis. 132(10): 4131 (2024) - [j74]Phong Nguyen, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2758-2769 (2024) - [j73]Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas:
Single Image Test-Time Adaptation for Segmentation. Trans. Mach. Learn. Res. 2024 (2024) - [c268]Lukás Picek, Milan Sulc, Jirí Matas:
Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost. CLEF (Working Notes) 2024: 1958-1965 - [c267]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CVPR Workshops 2024: 5610-5619 - [c266]Tomás Vojír, Jan Sochman, Jirí Matas:
PixOOD: Pixel-Level Out-of-Distribution Detection. ECCV (60) 2024: 93-109 - [c265]Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Jirí Matas, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Andrew M. Durso, Ivan Eggel, Pierre Bonnet, Henning Müller:
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) 2024: 19-27 - [c264]Miroslav Purkrábek, Jiri Matas:
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data. FG 2024: 1-9 - [c263]Michal Neoral, Jonás Serých, Jirí Matas:
MFT: Long-Term Tracking of Every Pixel. WACV 2024: 6823-6833 - [c262]Radim Spetlík, Denys Rozumnyi, Jirí Matas:
Single-Image Deblurring, Trajectory and Shape Recovery of Fast Moving Objects with Denoising Diffusion Probabilistic Models. WACV 2024: 6843-6852 - [i122]Alan Lukezic, Ziga Trojer, Jiri Matas, Matej Kristan:
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking. CoRR abs/2401.03872 (2024) - [i121]Tomás Jelínek, Jonás Serých, Jirí Matas:
Dense Matchers for Dense Tracking. CoRR abs/2402.11287 (2024) - [i120]Jakub Kolar, Radim Spetlík, Jirí Matas:
EE3P: Event-based Estimation of Periodic Phenomena Properties. CoRR abs/2402.14958 (2024) - [i119]Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas:
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects. CoRR abs/2403.09799 (2024) - [i118]Tomás Vojír, Jan Sochman, Jirí Matas:
PixOOD: Pixel-Level Out-of-Distribution Detection. CoRR abs/2405.19882 (2024) - [i117]Tong Wei, Philipp Lindenberger, Jiri Matas, Daniel Barath:
Breaking the Frame: Image Retrieval by Visual Overlap Prediction. CoRR abs/2406.16204 (2024) - [i116]Basit Alawode, Sajid Javed, Arif Mahmood, Jiri Matas:
Predicting the Best of N Visual Trackers. CoRR abs/2407.15707 (2024) - [i115]Jakub Kolar, Radim Spetlík, Jirí Matas:
EEPPR: Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D. CoRR abs/2408.06899 (2024) - [i114]Lukás Picek, Lukás Neumann, Jiri Matas:
Animal Identification with Independent Foreground and Background Modeling. CoRR abs/2408.12930 (2024) - [i113]Vojtech Cermák, Lukás Picek, Lukás Adam, Lukás Neumann, Jirí Matas:
WildFusion: Individual Animal Identification with Calibrated Similarity Fusion. CoRR abs/2408.12934 (2024) - [i112]Lukás Picek, Klára Janousková, Milan Sulc, Jiri Matas:
FungiTastic: A multi-modal dataset and benchmark for image categorization. CoRR abs/2408.13632 (2024) - [i111]Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024) - [i110]Jonás Serých, Michal Neoral, Jiri Matas:
MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation. CoRR abs/2411.09551 (2024) - [i109]Klára Janousková, Cristian Gavrus, Jiri Matas:
Segment to Recognize Robustly - Enhancing Recognition by Image Decomposition. CoRR abs/2411.15933 (2024) - [i108]Nikita Kisel, Illia Volkov, Katerina Hanzelkova, Klara Janouskova, Jiri Matas:
Flaws of ImageNet, Computer Vision's Favourite Dataset. CoRR abs/2412.00076 (2024) - [i107]Miroslav Purkrábek, Jiri Matas:
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle. CoRR abs/2412.01562 (2024) - [i106]Miroslav Purkrábek, Jiri Matas:
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation. CoRR abs/2412.02254 (2024) - [i105]Yash Patel, Giorgos Tolias, Jiri Matas:
Three Things to Know about Deep Metric Learning. CoRR abs/2412.12432 (2024) - 2023
- [j72]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 123-136 (2023) - [j71]Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6552-6574 (2023) - [c261]Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Overview of DocILE 2023: Document Information Localization and Extraction. CLEF 2023: 276-293 - [c260]Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Extended Overview of DocILE 2023: Document Information Localization and Extraction. CLEF (Working Notes) 2023: 546-571 - [c259]Lukás Picek, Milan Sulc, Rail Chamidullin, Jirí Matas:
Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. CLEF (Working Notes) 2023: 1943-1953 - [c258]Martin Sundermeyer, Tomás Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jirí Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CVPR Workshops 2023: 2785-2794 - [c257]Daniel Barath, Denys Rozumnyi, Ivan Eichhardt, Levente Hajder, Jiri Matas:
Finding Geometric Models by Clustering in the Consensus Space. CVPR 2023: 5414-5424 - [c256]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large-Scale Homography Benchmark. CVPR 2023: 21360-21370 - [c255]Denys Rozumnyi, Jirí Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald:
Tracking by 3D Model Estimation of Unknown Objects in Videos. ICCV 2023: 14040-14050 - [c254]Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath:
Generalized Differentiable RANSAC. ICCV 2023: 17603-17614 - [c253]Tong Wei, Jirí Matas, Daniel Barath:
Adaptive Reordering Sampler with Neurally Guided MAGSAC. ICCV 2023: 18117-18127 - [c252]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c251]Tomás Vojír, Jan Sochman, Rahaf Aljundi, Jirí Matas:
Calibrated Out-of-Distribution Detection with a Generic Representation. ICCV (Workshops) 2023: 4509-4518 - [c250]Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. ICDAR (2) 2023: 147-166 - [c249]Václav Vávra, Dmytro Mishkin, Jirí Matas:
DoG Accuracy Via Equivariance: Get The Interpolation Right. ICIP 2023: 136-140 - [c248]Lukas Rustler, Jiri Matas, Matej Hoffmann:
Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation. IROS 2023: 3121-3128 - [c247]Jonás Serých, Jirí Matas:
Planar Object Tracking via Weighted Optical Flow. WACV 2023: 1593-1602 - [c246]Tomás Vojír, Jirí Matas:
Image-Consistent Detection of Road Anomalies as Unpredictable Patches. WACV 2023: 5480-5489 - [i104]Jonás Serých, Jiri Matas:
Planar Object Tracking via Weighted Optical Flow. CoRR abs/2301.10057 (2023) - [i103]Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. CoRR abs/2302.05658 (2023) - [i102]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large Scale Homography Benchmark. CoRR abs/2302.09997 (2023) - [i101]Martin Sundermeyer, Tomas Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jiri Matas:
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CoRR abs/2302.13075 (2023) - [i100]Lukas Rustler, Jiri Matas, Matej Hoffmann:
Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation. CoRR abs/2303.04700 (2023) - [i99]David Korcak, Jiri Matas:
Video shutter angle estimation using optical flow and linear blur. CoRR abs/2303.10247 (2023) - [i98]Tomas Vojir, Jan Sochman, Rahaf Aljundi, Jiri Matas:
Calibrated Out-of-Distribution Detection with a Generic Representation. CoRR abs/2303.13148 (2023) - [i97]Denys Rozumnyi, Jiri Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald:
Tracking by 3D Model Estimation of Unknown Objects in Videos. CoRR abs/2304.06419 (2023) - [i96]Michal Neoral, Jonás Serých, Jirí Matas:
MFT: Long-Term Tracking of Every Pixel. CoRR abs/2305.12998 (2023) - [i95]Miroslav Purkrábek, Jirí Matas:
Improving 2D Human Pose Estimation across Unseen Camera Views with Synthetic Data. CoRR abs/2307.06737 (2023) - [i94]Basit Alawode, Fayaz Ali Dharejo, Mehnaz Ummar, Yuhang Guo, Arif Mahmood, Naoufel Werghi, Fahad Shahbaz Khan, Jiri Matas, Sajid Javed:
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement. CoRR abs/2308.15816 (2023) - [i93]Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas:
Single Image Test-Time Adaptation for Segmentation. CoRR abs/2309.14052 (2023) - 2022
- [j70]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4961-4974 (2022) - [j69]Daniel Barath, Jana Noskova, Jiri Matas:
Marginalizing Sample Consensus. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8420-8432 (2022) - [j68]Alan Lukezic, Jirí Matas, Matej Kristan:
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9742-9755 (2022) - [j67]Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Emil Lind:
Automatic Fungi Recognition: Deep Learning Meets Mycology. Sensors 22(2): 633 (2022) - [c245]Daniel Barath, Jana Noskova, Ivan Eichhardt, Jiri Matas:
Pose-graph via Adaptive Image Re-ordering. BMVC 2022: 127 - [c244]Alan Lukezic, Ziga Trojer, Jiri Matas, Matej Kristan:
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking. BMVC 2022: 470 - [c243]Lukás Picek, Milan Sulc, Jirí Matas, Jacob Heilmann-Clausen:
Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem. CLEF (Working Notes) 2022: 1970-1981 - [c242]Yash Patel, Giorgos Tolias, Jirí Matas:
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CVPR 2022: 7492-7501 - [c241]Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jirí Matas:
Point Cloud Color Constancy. CVPR 2022: 19718-19727 - [c240]Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiri Matas, Viktoriia Sharmanska:
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image. CVPR 2022: 20910-20920 - [c239]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c238]Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiri Matas:
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker. ECCV (22) 2022: 644-663 - [c237]Jan Docekal, Jakub Rozlivek, Jiri Matas, Matej Hoffmann:
Human Keypoint Detection for Close Proximity Human-Robot Interaction. Humanoids 2022: 450-457 - [c236]Jiri Matas:
Robust Fitting in Computer Vision. IMPROVE 2022: 5 - [c235]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. WACV 2022: 326-336 - [c234]Tomás Sipka, Milan Sulc, Jirí Matas:
The Hitchhiker's Guide to Prior-Shift Adaptation. WACV 2022: 2031-2039 - [c233]Lukás Picek, Milan Sulc, Jirí Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, Thomas Læssøe, Tobias Frøslev:
Danish Fungi 2020 - Not Just Another Image Recognition Dataset. WACV 2022: 3281-3291 - [i92]Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
Fast Neural Architecture Search for Lightweight Dense Prediction Networks. CoRR abs/2203.01994 (2022) - [i91]Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiri Matas, Viktoriia Sharmanska:
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image. CoRR abs/2204.03688 (2022) - [i90]Jan Docekal, Jakub Rozlivek, Jiri Matas, Matej Hoffmann:
Human keypoint detection for close proximity human-robot interaction. CoRR abs/2207.07742 (2022) - [i89]Václav Vávra, Dmytro Mishkin, Jirí Matas:
Matching with AffNet based rectifications. CoRR abs/2207.14660 (2022) - [i88]Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
HRF-Net: Holistic Radiance Fields from Sparse Inputs. CoRR abs/2208.04717 (2022) - [i87]Alan Lukezic, Ziga Trojer, Jiri Matas, Matej Kristan:
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking. CoRR abs/2210.03436 (2022) - [i86]Tong Wei, Yash Patel, Jiri Matas, Daniel Barath:
Fully Differentiable RANSAC. CoRR abs/2212.13185 (2022) - 2021
- [j66]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. 129(2): 517-547 (2021) - [j65]Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021) - [j64]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Tracking by Deblatting. Int. J. Comput. Vis. 129(9): 2583-2604 (2021) - [j63]Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jirí Matas, Matej Kristan:
Performance Evaluation Methodology for Long-Term Single-Object Tracking. IEEE Trans. Cybern. 51(12): 6305-6318 (2021) - [c232]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. 3DV 2021: 228-238 - [c231]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis. 3DV 2021: 1095-1105 - [c230]Michal Neoral, Jan Sochman, Jiri Matas:
Monocular Arbitrary Moving Object Discovery and Segmentation. BMVC 2021: 319 - [c229]Rail Chamidullin, Milan Sulc, Jiri Matas, Lukás Picek:
A Deep Learning Method for Visual Recognition of Snake Species. CLEF (Working Notes) 2021: 1512-1525 - [c228]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CVPR 2021: 3456-3465 - [c227]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-Graph Generation for Global SfM. CVPR 2021: 14546-14555 - [c226]Slobodan Djukanovic, Yash Patel, Jirí Matas, Tuomas Virtanen:
Neural network-based acoustic vehicle counting. EUSIPCO 2021: 561-565 - [c225]Denys Rozumnyi, Jirí Matas, Filip Sroubek, Marc Pollefeys, Martin R. Oswald:
FMODetect: Robust Detection of Fast Moving Objects. ICCV 2021: 3521-3529 - [c224]Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. ICCV 2021: 12747-12756 - [c223]Maksym Ivashechkin, Daniel Barath, Jirí Matas:
VSAC: Efficient and Accurate Estimator for H and F. ICCV 2021: 15223-15232 - [c222]Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas:
Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. ICCV 2021: 15631-15640 - [c221]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c220]Jiri Kralicek, Jiri Matas:
Fast Text vs. Non-text Classification of Images. ICDAR (4) 2021: 18-32 - [c219]Yash Patel, Jiri Matas:
FEDS - Filtered Edit Distance Surrogate. ICDAR (4) 2021: 171-186 - [c218]Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas:
Fast Fourier Intrinsic Network. WACV 2021: 3168-3177 - [i85]Yash Patel, Jiri Matas:
FEDS - Filtered Edit Distance Surrogate. CoRR abs/2103.04635 (2021) - [i84]Lukás Picek, Milan Sulc, Jiri Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Thomas Læssøe, Tobias Frøslev:
Danish Fungi 2020 - Not Just Another Image Recognition Dataset. CoRR abs/2103.10107 (2021) - [i83]Daniel Barath, Denys Rozumnyi, Ivan Eichhardt, Levente Hajder, Jiri Matas:
Progressive-X+: Clustering in the Consensus Space. CoRR abs/2103.13875 (2021) - [i82]Maksym Ivashechkin, Daniel Barath, Jiri Matas:
USACv20: robust essential, fundamental and homography matrix estimation. CoRR abs/2104.05044 (2021) - [i81]Maksym Ivashechkin, Daniel Barath, Jiri Matas:
VSAC: Efficient and Accurate Estimator for H and F. CoRR abs/2106.10240 (2021) - [i80]Tomás Sipka, Milan Sulc, Jiri Matas:
The Hitchhiker's Guide to Prior-Shift Adaptation. CoRR abs/2106.11695 (2021) - [i79]Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss. CoRR abs/2108.11098 (2021) - [i78]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. CoRR abs/2108.11105 (2021) - [i77]Yash Patel, Giorgos Tolias, Jiri Matas:
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CoRR abs/2108.11179 (2021) - [i76]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR abs/2109.02763 (2021) - [i75]Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiri Matas:
Point Cloud Color Constancy. CoRR abs/2111.11280 (2021) - [i74]Wei Tong, Jiri Matas, Daniel Barath:
Deep MAGSAC++. CoRR abs/2111.14093 (2021) - [i73]Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. CoRR abs/2112.02838 (2021) - [i72]Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiri Matas:
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker. CoRR abs/2112.07957 (2021) - [i71]Alan Lukezic, Jirí Matas, Matej Kristan:
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking. CoRR abs/2112.11846 (2021) - 2020
- [j62]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
Saddle: Fast and repeatable features with good coverage. Image Vis. Comput. 97: 3807 (2020) - [j61]Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk:
$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2825-2841 (2020) - [j60]Jan Kotera, Jiri Matas, Filip Sroubek:
Restoration of Fast Moving Objects. IEEE Trans. Image Process. 29: 8577-8589 (2020) - [c217]Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs. BMVC 2020 - [c216]Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. CVPR 2020: 1301-1309 - [c215]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects. CVPR 2020: 6777-6785 - [c214]Alan Lukezic, Jiri Matas, Matej Kristan:
D3S - A Discriminative Single Shot Segmentation Tracker. CVPR 2020: 7131-7140 - [c213]Tomás Hodan, Dániel Baráth, Jiri Matas:
EPOS: Estimating 6D Pose of Objects With Symmetries. CVPR 2020: 11700-11709 - [c212]Yash Patel, Tomás Hodan, Jiri Matas:
Learning Surrogates via Deep Embedding. ECCV (30) 2020: 205-221 - [c211]Pavel Jahoda, Jan Cech, Jiri Matas:
Autonomous Car Chasing. ECCV Workshops (4) 2020: 337-352 - [c210]Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas:
A Benchmark for Burst Color Constancy. ECCV Workshops (3) 2020: 359-375 - [c209]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c208]Tomás Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. ECCV Workshops (2) 2020: 577-594 - [c207]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. ECCV (26) 2020: 581-597 - [c206]Tomás Pavlín, Jan Cech, Jiri Matas:
Ballroom Dance Recognition from Audio Recordings. ICPR 2020: 2142-2149 - [c205]Klára Janousková, Jiri Matas, Lluís Gómez, Dimosthenis Karatzas:
Text Recognition - Real World Data and Where to Find Them. ICPR 2020: 4489-4496 - [c204]Yanlin Qian, Song Yan, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas:
DAL: A Deep Depth-Aware Long-term Tracker. ICPR 2020: 7825-7832 - [c203]Slobodan Djukanovic, Jiri Matas, Tuomas Virtanen:
Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow. IV 2020: 1608-1614 - [c202]Milan Sulc, Lukás Picek, Jiri Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen:
Fungi Recognition: A Practical Use Case. WACV 2020: 2305-2313 - [i70]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. CoRR abs/2003.01587 (2020) - [i69]Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas:
A Benchmark for Temporal Color Constancy. CoRR abs/2003.03763 (2020) - [i68]Tomas Hodan, Daniel Barath, Jiri Matas:
EPOS: Estimating 6D Pose of Objects with Symmetries. CoRR abs/2004.00605 (2020) - [i67]Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. CoRR abs/2004.02760 (2020) - [i66]Yash Patel, Tomas Hodan, Jiri Matas:
Learning Surrogates via Deep Embedding. CoRR abs/2007.00799 (2020) - [i65]Klára Janousková, Jiri Matas, Lluís Gómez, Dimosthenis Karatzas:
Text Recognition - Real World Data and Where to Find Them. CoRR abs/2007.03098 (2020) - [i64]Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas:
BOP Challenge 2020 on 6D Object Localization. CoRR abs/2009.07378 (2020) - [i63]Dmytro Mishkin, Amy Tabb, Jiri Matas:
ArXiving Before Submission Helps Everyone. CoRR abs/2010.05365 (2020) - [i62]Slobodan Djukanovic, Yash Patel, Jiri Matas, Tuomas Virtanen:
Neural Network-based Acoustic Vehicle Counting. CoRR abs/2010.11659 (2020) - [i61]Slobodan Djukanovic, Jiri Matas, Tuomas Virtanen:
Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow. CoRR abs/2010.11716 (2020) - [i60]Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas:
Fast Fourier Intrinsic Network. CoRR abs/2011.04612 (2020) - [i59]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-graph Generation for Global SfM. CoRR abs/2011.11986 (2020) - [i58]Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting color and depth images for novel views synthesis. CoRR abs/2011.14398 (2020) - [i57]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CoRR abs/2012.00595 (2020) - [i56]Denys Rozumnyi, Jiri Matas, Filip Sroubek, Marc Pollefeys, Martin R. Oswald:
FMODetect: Robust Detection and Trajectory Estimation of Fast Moving Objects. CoRR abs/2012.08216 (2020) - [i55]Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. CoRR abs/2012.10296 (2020)
2010 – 2019
- 2019
- [j59]Junsheng Fu, Said Pertuz, Jiri Matas, Joni-Kristian Kämäräinen:
Performance analysis of single-query 6-DoF camera pose estimation in self-driving setups. Comput. Vis. Image Underst. 186: 58-73 (2019) - [j58]Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen:
Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. 87: 29-37 (2019) - [c201]Lukás Picek, Milan Sulc, Jiri Matas:
Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation. CLEF (Working Notes) 2019 - [c200]Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas:
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. CVPR 2019: 1339-1348 - [c199]Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
On Finding Gray Pixels. CVPR 2019: 8062-8070 - [c198]Daniel Barath, Jiri Matas, Jana Noskova:
MAGSAC: Marginalizing Sample Consensus. CVPR 2019: 10197-10205 - [c197]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Non-causal Tracking by Deblatting. GCPR 2019: 122-135 - [c196]Jonás Serých, Jiri Matas:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. GCPR 2019: 317-330 - [c195]Jiri Matas:
Robust Fitting of Multiple Models in Computer Vision. VISIGRAPP 2019: 9 - [c194]Dániel Baráth, Jiri Matas:
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. ICCV 2019: 3779-3787 - [c193]Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan:
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. ICCV 2019: 10012-10021 - [c192]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c191]Jan Kotera, Denys Rozumnyi, Filip Sroubek, Jiri Matas:
Intra-Frame Object Tracking by Deblatting. ICCV Workshops 2019: 2300-2309 - [c190]Milan Sulc, Jiri Matas:
Improving CNN Classifiers by Estimating Test-Time Priors. ICCV Workshops 2019: 3220-3226 - [c189]Jiri Kralicek, Jiri Matas, Michal Busta:
Care Label Recognition. ICDAR 2019: 959-966 - [c188]Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. ICDAR 2019: 1582-1587 - [c187]Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen, Jiri Matas:
Flash Lightens Gray Pixe. ICIP 2019: 4604-4608 - [c186]Yanlin Qian, Said Pertuz, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas:
Revisiting Gray Pixel for Statistical Illumination Estimation. VISIGRAPP (4: VISAPP) 2019: 36-46 - [c185]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Gyroscope-Aided Motion Deblurring with Deep Networks. WACV 2019: 1914-1922 - [i54]Yanlin Qian, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas:
On Finding Gray Pixels. CoRR abs/1901.03198 (2019) - [i53]Milan Pultar, Dmytro Mishkin, Jiri Matas:
Leveraging Outdoor Webcams for Local Descriptor Learning. CoRR abs/1901.09780 (2019) - [i52]Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen, Jiri Matas:
Flash Lightens Gray Pixels. CoRR abs/1902.10466 (2019) - [i51]Matej Smíd, Jiri Matas:
Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy. CoRR abs/1902.11084 (2019) - [i50]Jan Kotera, Denys Rozumnyi, Filip Sroubek, Jiri Matas:
Intra-frame Object Tracking by Deblatting. CoRR abs/1905.03633 (2019) - [i49]Daniel Barath, Jiri Matas:
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. CoRR abs/1906.02290 (2019) - [i48]Daniel Barath, Maksym Ivashechkin, Jiri Matas:
Progressive NAPSAC: sampling from gradually growing neighborhoods. CoRR abs/1906.02295 (2019) - [i47]Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
Performance Evaluation Methodology for Long-Term Visual Object Tracking. CoRR abs/1906.08675 (2019) - [i46]Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiri Matas, Matej Kristan:
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. CoRR abs/1907.00618 (2019) - [i45]Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. CoRR abs/1907.00945 (2019) - [i44]Evgenii Razinkov, Iuliia Saveleva, Jiri Matas:
ALFA: Agglomerative Late Fusion Algorithm for Object Detection. CoRR abs/1907.06067 (2019) - [i43]Jonás Serých, Jiri Matas:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. CoRR abs/1908.02664 (2019) - [i42]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Non-Causal Tracking by Deblatting. CoRR abs/1909.06894 (2019) - [i41]Alan Lukezic, Jiri Matas, Matej Kristan:
D3S - A Discriminative Single Shot Segmentation Tracker. CoRR abs/1911.08862 (2019) - [i40]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects. CoRR abs/1911.10927 (2019) - [i39]Yanlin Qian, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas:
DAL - A Deep Depth-aware Long-term Tracker. CoRR abs/1912.00660 (2019) - [i38]Daniel Barath, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a fast, reliable and accurate robust estimator. CoRR abs/1912.05909 (2019) - 2018
- [j57]Alan Lukezic, Tomás Vojír, Luka Cehovin Zajc, Jiri Matas, Matej Kristan:
Discriminative Correlation Filter Tracker with Channel and Spatial Reliability. Int. J. Comput. Vis. 126(7): 671-688 (2018) - [c184]Michal Busta, Yash Patel, Jiri Matas:
E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. ACCV Workshops 2018: 127-143 - [c183]Michal Neoral, Jan Sochman, Jiri Matas:
Continual Occlusion and Optical Flow Estimation. ACCV (4) 2018: 159-174 - [c182]Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
FuCoLoT - A Fully-Correlational Long-Term Tracker. ACCV (2) 2018: 595-611 - [c181]Radim Spetlík, Vojtech Franc, Jan Cech, Jiri Matas:
Visual Heart Rate Estimation with Convolutional Neural Network. BMVC 2018: 84 - [c180]Milan Sulc, Lukás Picek, Jiri Matas:
Plant Recognition by Inception Networks with Test-time Class Prior Estimation. CLEF (Working Notes) 2018 - [c179]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC. CVPR 2018: 6733-6741 - [c178]Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas:
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CVPR 2018: 8183-8192 - [c177]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c176]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. ECCV (10) 2018: 19-35 - [c175]Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas:
How to Make an RGBD Tracker? ECCV Workshops (1) 2018: 148-161 - [c174]Daniel Barath, Jiri Matas:
Multi-class Model Fitting by Energy Minimization and Mode-Seeking. ECCV (16) 2018: 229-245 - [c173]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Repeatability Is Not Enough: Learning Affine Regions via Discriminability. ECCV (9) 2018: 287-304 - [c172]Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) 2018: 589-600 - [c171]Pavel Jahoda, Antonín Vobecký, Jan Cech, Jiri Matas:
Detecting Decision Ambiguity from Facial Images. FG 2018: 499-503 - [c170]Radim Spetlík, Jan Cech, Jiri Matas:
Non-Contact Reflectance Photoplethysmography: Progress, Limitations, and Myths. FG 2018: 702-709 - [c169]Ugur Kart, Joni-Kristian Kamarainen, Jiri Matas, Lixin Fan, Francesco Cricri:
Depth Masked Discriminative Correlation Filter. ICPR 2018: 2112-2117 - [c168]Evgenii Razinkov, Iuliia Saveleva, Jiri Matas:
ALFA: Agglomerative Late Fusion Algorithm for Object Detection. ICPR 2018: 2594-2599 - [c167]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. ICPR 2018: 3068-3073 - [i37]Yash Patel, Michal Busta, Jiri Matas:
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text. CoRR abs/1801.09919 (2018) - [i36]Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas, Lixin Fan, Francesco Cricri:
Depth Masked Discriminative Correlation Filter. CoRR abs/1802.09227 (2018) - [i35]Daniel Barath, Jiri Matas:
MAGSAC: marginalizing sample consensus. CoRR abs/1803.07469 (2018) - [i34]Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas:
Dichromatic Gray Pixel for Camera-agnostic Color Constancy. CoRR abs/1803.08326 (2018) - [i33]Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
Now you see me: evaluating performance in long-term visual tracking. CoRR abs/1804.07056 (2018) - [i32]Milan Sulc, Jiri Matas:
Improving CNN classifiers by estimating test-time priors. CoRR abs/1805.08235 (2018) - [i31]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. CoRR abs/1805.08542 (2018) - [i30]Junsheng Fu, Said Pertuz, Jiri Matas, Joni-Kristian Kämäräinen:
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation. CoRR abs/1808.05848 (2018) - [i29]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. CoRR abs/1808.08319 (2018) - [i28]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-aided Motion Deblurring with Deep Networks. CoRR abs/1810.00986 (2018) - [i27]Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR abs/1810.03758 (2018) - [i26]Michal Neoral, Jan Sochman, Jiri Matas:
Continual Occlusions and Optical Flow Estimation. CoRR abs/1811.01602 (2018) - [i25]Janne Mustaniemi, Juho Kannala, Jiri Matas, Simo Särkkä, Janne Heikkilä:
LSD2 - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks. CoRR abs/1811.09485 (2018) - [i24]Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas:
Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters. CoRR abs/1811.10863 (2018) - 2017
- [j56]Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas:
Systematic evaluation of convolution neural network advances on the Imagenet. Comput. Vis. Image Underst. 161: 11-19 (2017) - [c166]Milan Sulc, Jiri Matas:
Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition. CLEF (Working Notes) 2017 - [c165]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Lukás Novotný, Jiri Matas:
The World of Fast Moving Objects. CVPR 2017: 4838-4846 - [c164]Alan Lukezic, Tomas Vojir, Luka Cehovin Zajc, Jiri Matas, Matej Kristan:
Discriminative Correlation Filter with Channel and Spatial Reliability. CVPR 2017: 4847-4856 - [c163]Michal Busta, Lukás Neumann, Jiri Matas:
Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework. ICCV 2017: 2223-2231 - [c162]Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas:
Recurrent Color Constancy. ICCV 2017: 5459-5467 - [c161]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c160]Raul Gomez, Baoguang Shi, Lluis Gomez-Bigorda, Lukás Neumann, Andreas Veit, Jiri Matas, Serge J. Belongie, Dimosthenis Karatzas:
ICDAR2017 Robust Reading Challenge on COCO-Text. ICDAR 2017: 1435-1443 - [c159]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-based scale estimation for structure from motion on mobile devices. IROS 2017: 4394-4401 - [c158]Petra Galuscáková, Michal Batko, Jan Cech, Jiri Matas, David Novák, Pavel Pecina:
Visual Descriptors in Methods for Video Hyperlinking. ICMR 2017: 294-300 - [c157]Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. NIPS 2017: 4826-4837 - [c156]Radim Spetlík, Jan Cech, Vojtech Franc, Jiri Matas:
Visual Language Identification from Facial Landmarks. SCIA (2) 2017: 389-400 - [c155]Matej Smíd, Jiri Matas:
Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy. VISIGRAPP (4: VISAPP) 2017: 238-245 - [c154]Tomas Hodan, Pavel Haluza, Stepán Obdrzálek, Jiri Matas, Manolis I. A. Lourakis, Xenophon Zabulis:
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects. WACV 2017: 880-888 - [i23]Tomas Hodan, Pavel Haluza, Stepán Obdrzálek, Jiri Matas, Manolis I. A. Lourakis, Xenophon Zabulis:
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects. CoRR abs/1701.05498 (2017) - [i22]Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. CoRR abs/1705.10872 (2017) - [i21]Daniel Barath, Jiri Matas:
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking. CoRR abs/1706.00827 (2017) - [i20]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC. CoRR abs/1706.00984 (2017) - [i19]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Learning Discriminative Affine Regions via Discriminability. CoRR abs/1711.06704 (2017) - [i18]Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas:
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CoRR abs/1711.07064 (2017) - [i17]Alan Lukezic, Luka Cehovin Zajc, Tomás Vojír, Jiri Matas, Matej Kristan:
FCLT - A Fully-Correlational Long-Term Tracker. CoRR abs/1711.09594 (2017) - 2016
- [j55]Tomas Vojir, Jiri Matas, Jana Noskova:
Online adaptive hidden Markov model for multi-tracker fusion. Comput. Vis. Image Underst. 153: 109-119 (2016) - [j54]Jan Cech, Vojtech Franc, Michal Uricár, Jiri Matas:
Multi-view facial landmark detection by using a 3D shape model. Image Vis. Comput. 47: 60-70 (2016) - [j53]Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Detection of bubbles as concentric circular arrangements. Mach. Vis. Appl. 27(3): 387-396 (2016) - [j52]Lukás Neumann, Jiri Matas:
Real-Time Lexicon-Free Scene Text Localization and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1872-1885 (2016) - [j51]Matej Kristan, Jiri Matas, Ales Leonardis, Tomás Vojír, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2137-2155 (2016) - [j50]Karel Lebeda, Simon Hadfield, Jiri Matas, Richard Bowden:
Texture-Independent Long-Term Tracking Using Virtual Corners. IEEE Trans. Image Process. 25(1): 359-371 (2016) - [c153]Daniel Barath, Jiri Matas, Levente Hajder:
Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry. BMVC 2016 - [c152]Daniel Barath, Jiri Matas, Levente Hajder:
Multi-H: Efficient recovery of tangent planes in stereo images. BMVC 2016 - [c151]Milan Sulc, Dmytro Mishkin, Jiri Matas:
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. CLEF (Working Notes) 2016: 579-586 - [c150]Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool:
Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features. CVPR Workshops 2016: 730-738 - [c149]Filip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas:
From Dusk Till Dawn: Modeling in the Dark. CVPR 2016: 5488-5496 - [c148]Tomas Hodan, Jiri Matas, Stepán Obdrzálek:
On Evaluation of 6D Object Pose Estimation. ECCV Workshops (3) 2016: 606-619 - [c147]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c146]Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849 - [c145]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing fast and repeatable features. ICPR 2016: 675-680 - [c144]Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
Deep structured-output regression learning for computational color constancy. ICPR 2016: 1899-1904 - [c143]Stefanos Zafeiriou, Jiri Matas:
From active appearance models and mnemonic descent to 3d morphable models: A brief history of statistical deformable models with examples in menpo. IPTA 2016: 1-2 - [c142]Dmytro Mishkin, Jiri Matas:
All you need is a good init. ICLR (Poster) 2016 - [e12]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9905, Springer 2016, ISBN 978-3-319-46447-3 [contents] - [e11]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9906, Springer 2016, ISBN 978-3-319-46474-9 [contents] - [e10]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9907, Springer 2016, ISBN 978-3-319-46486-2 [contents] - [e9]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part IV. Lecture Notes in Computer Science 9908, Springer 2016, ISBN 978-3-319-46492-3 [contents] - [e8]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V. Lecture Notes in Computer Science 9909, Springer 2016, ISBN 978-3-319-46453-4 [contents] - [e7]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI. Lecture Notes in Computer Science 9910, Springer 2016, ISBN 978-3-319-46465-7 [contents] - [e6]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VII. Lecture Notes in Computer Science 9911, Springer 2016, ISBN 978-3-319-46477-0 [contents] - [e5]Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling:
Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII. Lecture Notes in Computer Science 9912, Springer 2016, ISBN 978-3-319-46483-1 [contents] - [i16]Andreas Veit, Tomas Matera, Lukás Neumann, Jiri Matas, Serge J. Belongie:
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images. CoRR abs/1601.07140 (2016) - [i15]Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas:
Systematic evaluation of CNN advances on the ImageNet. CoRR abs/1606.02228 (2016) - [i14]Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
Deep Structured-Output Regression Learning for Computational Color Constancy. CoRR abs/1607.03856 (2016) - [i13]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing Fast and Repeatable Features. CoRR abs/1608.06800 (2016) - [i12]Denys Rozumnyi, Jan Kotera, Filip Sroubek, Lukás Novotný, Jiri Matas:
The World of Fast Moving Objects. CoRR abs/1611.07889 (2016) - [i11]Alan Lukezic, Tomás Vojír, Luka Cehovin, Jiri Matas, Matej Kristan:
Discriminative Correlation Filter with Channel and Spatial Reliability. CoRR abs/1611.08461 (2016) - [i10]Janne Mustaniemi, Juho Kannala, Simo Särkkä, Jiri Matas, Janne Heikkilä:
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices. CoRR abs/1611.09498 (2016) - 2015
- [j49]Dmytro Mishkin, Jiri Matas, Michal Perdoch:
MODS: Fast and robust method for two-view matching. Comput. Vis. Image Underst. 141: 81-93 (2015) - [c141]Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc:
WxBS: Wide Baseline Stereo Generalizations. BMVC 2015: 12.1-12.12 - [c140]David R. Novotny, Jiri Matas:
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection. ICCV 2015: 1152-1160 - [c139]Michal Busta, Lukás Neumann, Jiri Matas:
FASText: Efficient Unconstrained Scene Text Detector. ICCV 2015: 1206-1214 - [c138]Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Gustav Häger, Georg Nebehay, Roman P. Pflugfelder:
The Visual Object Tracking VOT2015 Challenge Results. ICCV Workshops 2015: 564-586 - [c137]Michael Felsberg, Amanda Berg, Gustav Häger, Jörgen Ahlberg, Matej Kristan, Jiri Matas, Ales Leonardis, Luka Cehovin, Gustavo Fernández, Tomás Vojír, Georg Nebehay, Roman P. Pflugfelder:
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. ICCV Workshops 2015: 639-651 - [c136]Rakesh Mehta, Ondrej Chum, Jiri Matas:
Towards visual words to words. ICDAR 2015: 641-645 - [c135]Lukás Neumann, Jiri Matas:
Efficient Scene text localization and recognition with local character refinement. ICDAR 2015: 746-750 - [c134]Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Lukás Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny:
ICDAR 2015 competition on Robust Reading. ICDAR 2015: 1156-1160 - [c133]Tomas Hodan, Xenophon Zabulis, Manolis I. A. Lourakis, Stepán Obdrzálek, Jiri Matas:
Detection and fine 3D pose estimation of texture-less objects in RGB-D images. IROS 2015: 4421-4428 - [c132]Tomas Hodan, Dima Damen, Walterio W. Mayol-Cuevas, Jiri Matas:
Efficient Texture-less Object Detection for Augmented Reality Guidance. ISMAR Workshops 2015: 81-86 - [i9]Matej Kristan, Jiri Matas, Ales Leonardis, Tomas Vojir, Roman P. Pflugfelder, Gustavo Fernández, Georg Nebehay, Fatih Porikli, Luka Cehovin:
A Novel Performance Evaluation Methodology for Single-Target Trackers. CoRR abs/1503.01313 (2015) - [i8]Dmytro Mishkin, Jiri Matas, Michal Perdoch:
MODS: Fast and Robust Method for Two-View Matching. CoRR abs/1503.02619 (2015) - [i7]Lukás Neumann, Jiri Matas:
Efficient Scene Text Localization and Recognition with Local Character Refinement. CoRR abs/1504.03522 (2015) - [i6]Tomas Vojir, Jiri Matas, Jana Noskova:
Online Adaptive Hidden Markov Model for Multi-Tracker Fusion. CoRR abs/1504.06103 (2015) - [i5]Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc:
WxBS: Wide Baseline Stereo Generalizations. CoRR abs/1504.06603 (2015) - [i4]David R. Novotny, Jiri Matas:
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection. CoRR abs/1504.07029 (2015) - [i3]Jiri Matas, Vittorio Murino, Bodo Rosenhahn, Laura Leal-Taixé:
Holistic Scene Understanding (Dagstuhl Seminar 15081). Dagstuhl Reports 5(2): 80-108 (2015) - 2014
- [j48]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Erratum to: Learning Vocabularies over a Fine Quantization. Int. J. Comput. Vis. 106(1): 113 (2014) - [j47]Tomas Vojir, Jana Noskova, Jiri Matas:
Robust scale-adaptive mean-shift for tracking. Pattern Recognit. Lett. 49: 250-258 (2014) - [c131]Andrej Mikulík, Filip Radenovic, Ondrej Chum, Jiri Matas:
Efficient Image Detail Mining. ACCV (2) 2014: 118-132 - [c130]Michal Busta, Tomás Drtina, David Helekal, Lukás Neumann, Jiri Matas:
Efficient Character Skew Rectification in Scene Text Images. ACCV Workshops (2) 2014: 134-146 - [c129]Jindrich Libovický, Lukás Neumann, Pavel Pecina, Jiri Matas:
A Machine Learning Approach to Hypothesis Decoding in Scene Text Recognition. ACCV Workshops (2) 2014: 169-180 - [c128]James Pritts, Ondrej Chum, Jiri Matas:
Rectification, and Segmentation of Coplanar Repeated Patterns. CVPR 2014: 2973-2980 - [c127]Milan Sulc, Jiri Matas:
Fast Features Invariant to Rotation and Scale of Texture. ECCV Workshops (2) 2014: 47-62 - [c126]Milan Sulc, Jiri Matas:
Texture-Based Leaf Identification. ECCV Workshops (4) 2014: 185-200 - [c125]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c124]Javier Aldana-Iuit, Ondrej Chum, Jiri Matas:
Relevance Assessment for Visual Video Re-ranking. ICIAR (1) 2014: 421-430 - [c123]Jan Cech, Vojtech Franc, Jiri Matas:
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking. ICPR 2014: 2173-2178 - [c122]Dmytro Mishkin, Jiri Matas:
Matching of Images of Non-planar Objects with View Synthesis. SOFSEM 2014: 30-39 - [p1]Tomás Vojír, Jiri Matas:
The Enhanced Flock of Trackers. Registration and Recognition in Images and Videos 2014: 113-136 - 2013
- [j46]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Learning Vocabularies over a Fine Quantization. Int. J. Comput. Vis. 103(1): 163-175 (2013) - [j45]Rahul Raguram, Ondrej Chum, Marc Pollefeys, Jiri Matas, Jan-Michael Frahm:
USAC: A Universal Framework for Random Sample Consensus. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 2022-2038 (2013) - [c121]Lukás Neumann, Jiri Matas:
Scene Text Localization and Recognition with Oriented Stroke Detection. ICCV 2013: 97-104 - [c120]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernández, Tomás Vojír, Adam Gatt, Ahmad Khajenezhad, Ahmed Salah El-Din, Ali Soltani-Farani, Ali Zarezade, Alfredo Petrosino, Anthony Milton, Behzad Bozorgtabar, Bo Li, Chee Seng Chan, Cherkeng Heng, Dale A. Ward, David A. Kearney, Dorothy Monekosso, Hakki Can Karaimer, Hamid R. Rabiee, Jianke Zhu, Jin Gao, Jingjing Xiao, Junge Zhang, Junliang Xing, Kaiqi Huang, Karel Lebeda, Lijun Cao, Mario Edoardo Maresca, Mei Kuan Lim, Mohamed ElHelw, Michael Felsberg, Paolo Remagnino, Richard Bowden, Roland Goecke, Rustam Stolkin, Samantha YueYing Lim, Sara Maher, Sébastien Poullot, Sebastien C. Wong, Shin'ichi Satoh, Weihua Chen, Weiming Hu, Xiaoqin Zhang, Yang Li, Zhi Heng Niu:
The Visual Object Tracking VOT2013 Challenge Results. ICCV Workshops 2013: 98-111 - [c119]Karel Lebeda, Simon Hadfield, Jiri Matas, Richard Bowden:
Long-Term Tracking through Failure Cases. ICCV Workshops 2013: 153-160 - [c118]Lukás Neumann, Jiri Matas:
On Combining Multiple Segmentations in Scene Text Recognition. ICDAR 2013: 523-527 - [c117]Hongping Cai, Tomás Werner, Jiri Matas:
Fast Detection of Multiple Textureless 3-D Objects. ICVS 2013: 103-112 - [c116]Milan Sulc, Jiri Matas:
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition. IVCNZ 2013: 82-87 - [c115]James Pritts, Ondrej Chum, Jiri Matas:
Approximate models for fast and accurate epipolar geometry estimation. IVCNZ 2013: 106-111 - [c114]Dmytro Mishkin, Michal Perdoch, Jiri Matas:
Two-view matching with view synthesis revisited. IVCNZ 2013: 436-441 - [c113]Tomas Vojir, Jana Noskova, Jiri Matas:
Robust Scale-Adaptive Mean-Shift for Tracking. SCIA 2013: 652-663 - [c112]Andrej Mikulík, Ondrej Chum, Jiri Matas:
Image Retrieval for Online Browsing in Large Image Collections. SISAP 2013: 3-15 - [i2]Dmytro Mishkin, Michal Perdoch, Jiri Matas:
Two-View Matching with View Synthesis Revisited. CoRR abs/1306.3855 (2013) - [i1]Patrick Ott, Mark Everingham, Jiri Matas:
Detection of Partially Visible Objects. CoRR abs/1311.6758 (2013) - 2012
- [j44]Jan Dupac, Jiri Matas, Filip Naiser:
Ultra-fast tracking based on zero-shift points. Image Vis. Comput. 30(12): 1016-1031 (2012) - [j43]Sing Bing Kang, Jiri Matas, Max Welling, Ramin Zabih:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 1-2 (2012) - [j42]Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 209-210 (2012) - [j41]Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 833 (2012) - [j40]Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas:
Tracking-Learning-Detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1409-1422 (2012) - [j39]Guoying Zhao, Timo Ahonen, Jiri Matas, Matti Pietikäinen:
Rotation-Invariant Image and Video Description With Local Binary Pattern Features. IEEE Trans. Image Process. 21(4): 1465-1477 (2012) - [c111]Karel Lebeda, Jiri Matas, Richard Bowden:
Tracking the Untrackable: How to Track When Your Object Is Featureless. ACCV Workshops (2) 2012: 347-359 - [c110]Karel Lebeda, Jiri Matas, Ondrej Chum:
Fixing the Locally Optimized RANSAC. BMVC 2012: 1-11 - [c109]Jiri Matas:
Visual Tracking in the 21st Century. BMVC 2012: 1 - [c108]Ondrej Chum, Jiri Matas:
Fast computation of min-Hash signatures for image collections. CVPR 2012: 3077-3084 - [c107]Lukás Neumann, Jiri Matas:
Real-time scene text localization and recognition. CVPR 2012: 3538-3545 - [c106]Lukás Neumann, Jiri Matas:
A Real-Time Scene Text to Speech System. ECCV Workshops (3) 2012: 619-622 - [c105]Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Detection of bubbles as Concentric Circular Arrangements. ICPR 2012: 2655-2659 - [c104]Ondrej Chum, Jiri Matas:
Homography estimation from correspondences of local elliptical features. ICPR 2012: 3236-3239 - [c103]Claudio Caraffi, Tomas Vojir, Jiri Trefny, Jan Sochman, Jiri Matas:
A system for real-time detection and tracking of vehicles from a single car-mounted camera. ITSC 2012: 975-982 - 2011
- [j38]Liam F. Ellis, Nicholas D. H. Dowson, Jiri Matas, Richard Bowden:
Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking. Int. J. Comput. Vis. 95(2): 154-179 (2011) - [j37]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 1-2 (2011) - [j36]Hongping Cai, Krystian Mikolajczyk, Jiri Matas:
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 338-352 (2011) - [j35]Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 865-866 (2011) - [j34]Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas:
Editorial. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1697-1698 (2011) - [j33]Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2129-2130 (2011) - [j32]Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2337-2340 (2011) - [j31]Cédric Lemaitre, Michal Perdoch, Adel Rahmoune, Jiri Matas, Johel Mitéran:
Detection and matching of curvilinear structures. Pattern Recognit. 44(7): 1514-1527 (2011) - [c102]Ondrej Chum, Andrej Mikulík, Michal Perdoch, Jiri Matas:
Total recall II: Query expansion revisited. CVPR 2011: 889-896 - [c101]Jan Dupac, Jiri Matas:
Ultra-fast tracking based on zero-shift points. ICASSP 2011: 1429-1432 - [c100]Lukás Neumann, Jiri Matas:
Text Localization in Real-World Images Using Efficiently Pruned Exhaustive Search. ICDAR 2011: 687-691 - 2010
- [j30]Ondrej Chum, Jiri Matas:
Large-Scale Discovery of Spatially Related Images. IEEE Trans. Pattern Anal. Mach. Intell. 32(2): 371-377 (2010) - [j29]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 769 (2010) - [j28]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1345-1346 (2010) - [j27]Jan Cech, Jiri Matas, Michal Perdoch:
Efficient Sequential Correspondence Selection by Cosegmentation. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1568-1581 (2010) - [j26]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1729 (2010) - [c99]Ondrej Chum, Jiri Matas:
Planar Affine Rectification from Change of Scale. ACCV (4) 2010: 347-360 - [c98]Lukás Neumann, Jiri Matas:
A Method for Text Localization and Recognition in Real-World Images. ACCV (3) 2010: 770-783 - [c97]Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk:
P-N learning: Bootstrapping binary classifiers by structural constraints. CVPR 2010: 49-56 - [c96]Helmut Grabner, Jiri Matas, Luc Van Gool, Philippe C. Cattin:
Tracking the invisible: Learning where the object might be. CVPR 2010: 1285-1292 - [c95]Ondrej Chum, Jiri Matas:
Unsupervised discovery of co-occurrence in sparse high dimensional data. CVPR 2010: 3416-3423 - [c94]Andrej Mikulík, Michal Perdoch, Ondrej Chum, Jiri Matas:
Learning a Fine Vocabulary. ECCV (3) 2010: 1-14 - [c93]Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas:
Face-TLD: Tracking-Learning-Detection applied to faces. ICIP 2010: 3789-3792 - [c92]Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas:
Forward-Backward Error: Automatic Detection of Tracking Failures. ICPR 2010: 2756-2759 - [c91]Petr Doubek, Jiri Matas, Michal Perdoch, Ondrej Chum:
Image Matching and Retrieval by Repetitive Patterns. ICPR 2010: 3195-3198 - [c90]Andrej Mikulík, Jiri Matas, Michal Perdoch, Ondrej Chum:
Construction of Precise Local Affine Frames. ICPR 2010: 3565-3569 - [c89]Stepán Obdrzálek, Jiri Matas:
A voting strategy for visual ego-motion from stereo. Intelligent Vehicles Symposium 2010: 382-387
2000 – 2009
- 2009
- [j25]Markus Vincze, Michael Zillich, Wolfgang Ponweiser, Václav Hlavác, Jiri Matas, Stepán Obdrzálek, Hilary Buxton, A. Jonathan Howell, Kingsley Sage, Antonis A. Argyros, Christof Eberst, Gerald Umgeher:
Integrated vision system for the semantic interpretation of activities where a person handles objects. Comput. Vis. Image Underst. 113(6): 682-692 (2009) - [j24]Jan Sochman, Jiri Matas:
Learning Fast Emulators of Binary Decision Processes. Int. J. Comput. Vis. 83(2): 149-163 (2009) - [j23]Karel Zimmermann, Tomás Svoboda, Jiri Matas:
Anytime learning for the NoSLLiP tracker. Image Vis. Comput. 27(11): 1695-1701 (2009) - [j22]Karel Zimmermann, Jiri Matas, Tomás Svoboda:
Tracking by an Optimal Sequence of Linear Predictors. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 677-692 (2009) - [j21]Ramin Zabih, Zoubin Ghahramani, Jiri Matas:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 961-963 (2009) - [j20]Ramin Zabih, Jiri Matas, Zoubin Ghahramani:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1345-1346 (2009) - [c88]Michal Perdoch, Ondrej Chum, Jiri Matas:
Efficient representation of local geometry for large scale object retrieval. CVPR 2009: 9-16 - [c87]Ondrej Chum, Michal Perdoch, Jiri Matas:
Geometric min-Hashing: Finding a (thick) needle in a haystack. CVPR 2009: 17-24 - [c86]Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk:
Online learning of robust object detectors during unstable tracking. ICCV Workshops 2009: 1417-1424 - [c85]Timo Ahonen, Jiri Matas, Chu He, Matti Pietikäinen:
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features. SCIA 2009: 61-70 - [c84]Lukás Cerman, Jiri Matas, Václav Hlavác:
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker. SCIA 2009: 291-300 - 2008
- [j19]Ondrej Chum, Jiri Matas:
Optimal Randomized RANSAC. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1472-1482 (2008) - [j18]Simon Baker, Jiri Matas, Ramin Zabih:
Guest Editors' Introduction to the Special Section on CVPR Papers. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1681-1682 (2008) - [c83]Hongping Cai, Krystian Mikolajczyk, Jiri Matas:
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors. BMVC 2008: 1-10 - [c82]Liam F. Ellis, Jiri Matas, Richard Bowden:
Online Learning and Partitioning of Linear Displacement Predictors for Tracking. BMVC 2008: 1-10 - [c81]Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk:
Weighted Sampling for Large-Scale Boosting. BMVC 2008: 1-10 - [c80]Jan Cech, Jiri Matas, Michal Perdoch:
Efficient sequential correspondence selection by cosegmentation. CVPR 2008 - [c79]Stepán Obdrzálek, Michal Perdoch, Jiri Matas:
Dense linear-time correspondences for tracking. CVPR Workshops 2008: 1-8 - [c78]Helmut Grabner, Jan Sochman, Horst Bischof, Jiri Matas:
Training sequential on-line boosting classifier for visual tracking. ICPR 2008: 1-4 - 2007
- [c77]Jan Sochman, Jiri Matas:
Learning a Fast Emulator of a Binary Decision Process. ACCV (2) 2007: 236-245 - [c76]Cédric Lemaitre, Johel Mitéran, Jiri Matas:
Definition of a Model-Based Detector of Curvilinear Regions. CAIP 2007: 686-693 - [c75]Liam F. Ellis, Nicholas D. H. Dowson, Jiri Matas, Richard Bowden:
Linear Predictors for Fast Simultaneous Modeling and Tracking. ICCV 2007: 1-8 - [c74]Krystian Mikolajczyk, Jiri Matas:
Improving Descriptors for Fast Tree Matching by Optimal Linear Projection. ICCV 2007: 1-8 - [c73]Michal Perdoch, Jiri Matas, Stepán Obdrzálek:
Stable Affine Frames on Isophotes. ICCV 2007: 1-8 - [c72]Karel Zimmermann, Tomás Svoboda, Jiri Matas:
Adaptive Parameter Optimization for Real-time Tracking. ICCV 2007: 1-8 - [c71]Hugo Cornelius, Michal Perdoch, Jiri Matas, Gareth Loy:
Efficient Symmetry Detection Using Local Affine Frames. SCIA 2007: 152-161 - 2006
- [j17]Tomás Pajdla, Jiri Matas:
Editorial: Selection of Papers for the ECCV 2004 Special Issue. Int. J. Comput. Vis. 67(2): 139 (2006) - [c70]Karel Zimmermann, Tomás Svoboda, Jiri Matas:
Multiview 3D Tracking with an Incrementally Constructed 3D Model. 3DPVT 2006: 488-495 - [c69]Stepán Obdrzálek, Jiri Matas:
Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions. Toward Category-Level Object Recognition 2006: 83-104 - [c68]Ondrej Chum, Jiri Matas:
Geometric Hashing with Local Affine Frames. CVPR (1) 2006: 879-884 - [c67]Michal Perdoch, Jiri Matas, Ondrej Chum:
Epipolar Geometry from Two Correspondences. ICPR (4) 2006: 215-219 - [c66]Jiri Matas, Karel Zimmermann, Tomás Svoboda, Adrian Hilton:
Learning Efficient Linear Predictors for Motion Estimation. ICVGIP 2006: 445-456 - [c65]George I. Kamberov, Gerda Kamberova, Ondrej Chum, Stepán Obdrzálek, Daniel Martinec, Jana Kostková, Tomás Pajdla, Jiri Matas, Radim Sára:
3D Geometry from Uncalibrated Images. ISVC (2) 2006: 802-813 - 2005
- [j16]Johel Mitéran, Jiri Matas, El-Bay Bourennane, Michel Paindavoine, Julien Dubois:
Automatic Hardware Implementation Tool for a Discrete Adaboost-Based Decision Algorithm. EURASIP J. Adv. Signal Process. 2005(7): 1035-1046 (2005) - [j15]Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, Frederik Schaffalitzky, Timor Kadir, Luc Van Gool:
A Comparison of Affine Region Detectors. Int. J. Comput. Vis. 65(1-2): 43-72 (2005) - [j14]Miroslav Hamouz, Josef Kittler, Joni-Kristian Kamarainen, Pekka Paalanen, Heikki Kälviäinen, Jiri Matas:
Feature-Based Affine-Invariant Localization of Faces. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1490-1495 (2005) - [c64]Stepán Obdrzálek, Jiri Matas:
Sub-linear Indexing for Large Scale Object Recognition. BMVC 2005 - [c63]Jan Sochman, Jiri Matas:
WaldBoost - Learning for Time Constrained Sequential Detection. CVPR (2) 2005: 150-156 - [c62]Ondrej Chum, Jiri Matas:
Matching with PROSAC - Progressive Sample Consensus. CVPR (1) 2005: 220-226 - [c61]Ondrej Chum, Tomás Werner, Jiri Matas:
Two-View Geometry Estimation Unaffected by a Dominant Plane. CVPR (1) 2005: 772-779 - [c60]Jiri Matas, Ondrej Chum:
Randomized RANSAC with Sequential Probability Ratio Test. ICCV 2005: 1727-1732 - [c59]Jiri Matas, Karel Zimmermann:
A New Class of Learnable Detectors for Categorisation. SCIA 2005: 541-550 - 2004
- [j13]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22(10): 761-767 (2004) - [j12]Jiri Matas, Ondrej Chum:
Randomized RANSAC with Td, d test. Image Vis. Comput. 22(10): 837-842 (2004) - [c58]Hugo Cornelius, Radim Sára, Daniel Martinec, Tomás Pajdla, Ondrej Chum, Jiri Matas:
Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images. ECCV Workshop SMVP 2004: 1-12 - [c57]Johel Mitéran, Jiri Matas, Julien Dubois, El-Bay Bourennane:
Boosting: From data to hardware using automatic implementation tool. EUSIPCO 2004: 1333-1336 - [c56]Jiri Matas, Stepán Obdrzálek:
Object recognition methods based on transformation covariant features. EUSIPCO 2004: 1721-1728 - [c55]Jan Sochman, Jiri Matas:
AdaBoost with Totally Corrective Updates for Fast Face Detection. FGR 2004: 445-450 - [c54]Ondrej Chum, Tomás Werner, Jiri Matas:
Epipolar Geometry Estimation via RANSAC Benefits from the Oriented Epipolar Constraint. ICPR (1) 2004: 112-115 - [c53]Jan Sochman, Jiri Matas:
Inter-Stage Feature Propagation in Cascade Building with AdaBoost. ICPR (1) 2004: 236-239 - [e4]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part I. Lecture Notes in Computer Science 3021, Springer 2004, ISBN 3-540-21984-6 [contents] - [e3]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part II. Lecture Notes in Computer Science 3022, Springer 2004, ISBN 3-540-21983-8 [contents] - [e2]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part III. Lecture Notes in Computer Science 3023, Springer 2004, ISBN 3-540-21982-X [contents] - [e1]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part IV. Lecture Notes in Computer Science 3024, Springer 2004, ISBN 3-540-21981-1 [contents] - 2003
- [j11]Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas:
Face verification via error correcting output codes. Image Vis. Comput. 21(13-14): 1163-1169 (2003) - [c52]Enrique Bailly-Bailliére, Samy Bengio, Frédéric Bimbot, Miroslav Hamouz, Josef Kittler, Johnny Mariéthoz, Jiri Matas, Kieron Messer, Vlad Popovici, Fabienne Porée, Belén Ruíz, Jean-Philippe Thiran:
The BANCA Database and Evaluation Protocol. AVBPA 2003: 625-638 - [c51]Ondrej Chum, Jiri Matas, Josef Kittler:
Locally Optimized RANSAC. DAGM-Symposium 2003: 236-243 - [c50]Stepán Obdrzálek, Jiri Matas:
Image Retrieval Using Local Compact DCT-Based Representation. DAGM-Symposium 2003: 490-497 - 2002
- [j10]Jiri Matas, Dimitri Koubaroulis, Josef Kittler:
The Multimodal Neighborhood Signature for Modeling Object Color Appearance and Applications in Object Recognition and Image Retrieval. Comput. Vis. Image Underst. 88(1): 1-23 (2002) - [j9]Kenneth Jonsson, Josef Kittler, Yongping Li, Jiri Matas:
Support vector machines for face authentication. Image Vis. Comput. 20(5-6): 369-375 (2002) - [c49]Jiri Matas, Ondrej Chum:
Randomized RANSAC with T(d, d) test. BMVC 2002: 1-10 - [c48]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. BMVC 2002: 1-10 - [c47]Stepán Obdrzálek, Jiri Matas:
Object Recognition using Local Affine Frames on Distinguished Regions. BMVC 2002: 1-10 - [c46]Stepán Obdrzálek, Jiri Matas:
Local Affine Frames for Image Retrieval. CIVR 2002: 318-327 - [c45]Jiri Matas, Stepán Obdrzálek, Ondrej Chum:
Local Affine Frames for Wide-Baseline Stereo. ICPR (4) 2002: 363-366 - [c44]Dimitri Koubaroulis, Jiri Matas, Josef Kittler:
Colour-Based Object Recognition for Video Annotation. ICPR (2) 2002: 1069-1072 - [c43]Miroslav Hamouz, Josef Kittler, Jiri Matas, Petr Bílek:
Face Detection by Learned Affine Correspondences. SSPR/SPR 2002: 566-575 - 2001
- [j8]Soh Ling Min, Josef Kittler, Jiri Matas:
Empirical evaluation of a calibration chart detector. Mach. Vis. Appl. 12(6): 305-325 (2001) - [c42]Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas:
Face Identification and Verification via ECOC. AVBPA 2001: 1-13 - [c41]Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas:
Face Verification via ECOC. BMVC 2001: 1-10 - [c40]Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas:
Face Verification Using Error Correcting Output Codes. CVPR (1) 2001: 755-760 - 2000
- [j7]Jiri Matas, Charles Galambos, Josef Kittler:
Robust Detection of Lines Using the Progressive Probabilistic Hough Transform. Comput. Vis. Image Underst. 78(1): 119-137 (2000) - [c39]Josef Kittler, Yongping Li, Jiri Matas:
On Matching Scores for LDA-based Face Verification. BMVC 2000: 1-10 - [c38]Jiri Matas, J. Burianek, Josef Kittler:
Object Recognition using the Invariant Pixel-Set Signature. BMVC 2000: 1-10 - [c37]Jiri Matas, Dimitri Koubaroulis, Josef Kittler:
Colour Image Retrieval and Object Recognition Using the Multimodal Neighbourhood Signature. ECCV (1) 2000: 48-64 - [c36]Dimitri Koubaroulis, Jiri Matas, Josef Kittler:
Illumination invariant object recognition using the MNS method. EUSIPCO 2000: 1-4 - [c35]Kenneth Jonsson, Josef Kittler, Yongping Li, Jiri Matas:
Learning Support Vectors for Face Verification and Recognition. FG 2000: 208-213 - [c34]C. Iordanoglou, Kenneth Jonsson, Josef Kittler, Jiri Matas:
Wearable face recognition aid. ICASSP 2000: 2365-2368 - [c33]Dimitri Koubaroulis, Jiri Matas, Josef Kittler:
The Multimodal Signature Method: An Efficiency and Sensitivity Study. ICPR 2000: 3379-3382 - [c32]Charles Galambos, Josef Kittler, Jiri Matas:
Using Gradient Information to Enhance the Progressive Probabilistic Hough Transform. ICPR 2000: 3564-3567 - [c31]Jiri Matas, Miroslav Hamouz, Kenneth Jonsson, Josef Kittler, Yongping Li, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, Teewoon Tan, Hong Yan, Fabrizio Smeraldi, N. Capdevielle, Wulfram Gerstner, Yousri Abdeljaoued, Josef Bigün, S. Ben-Yacoub, Eddy Mayoraz:
Comparison of Face Verification Results on the XM2VTS Database. ICPR 2000: 4858-4863
1990 – 1999
- 1999
- [j6]Jiri Matas, Kenneth Jonsson, Josef Kittler:
Fast face localisation and verification. Image Vis. Comput. 17(8): 575-581 (1999) - [c30]Kenneth Jonsson, Josef Kittler, Yongping Li, Jiri Matas:
Support Vector Machines for Face Authentication. BMVC 1999: 1-11 - [c29]Yongping Li, Josef Kittler, Jiri Matas:
Effective Implementation of Linear Discriminant Analysis for Face Recognition and Verification. CAIP 1999: 234-242 - [c28]Charles Galambos, Josef Kittler, Jiri Matas:
Progressive Probabilistic Hough Transform for Line Detection. CVPR 1999: 1554-1560 - [c27]S. Ben-Yacoub, Juergen Luettin, Kenneth Jonsson, Jiri Matas, Josef Kittler:
Audio-Visual Person Verification. CVPR 1999: 1580-1585 - [c26]Gaël Richard, Yann Menguy, I. Guis, N. Suaudeau, Jérôme Boudy, Philip Lockwood, C. Fernández, Fernando Fernández, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, R. Heimgartner, Peter Ryser, Charles Beumier, Patrick Verlinde, Steven Pigeon, George Matas, Josef Kittler, Josef Bigün, Yousri Abdeljaoued, Eric Meurville, Laurent Besacier, Michael Ansorge, Gilbert Maître, Juergen Luettin, S. Ben-Yacoub, Belén Ruíz, K. Aldama, J. Cortes:
Multi Modal Verification for Teleservices and Security Applications (M2VTS). ICMCS, Vol. 2 1999: 1061-1064 - [c25]Rupert Young, Jiri Matas, Josef Kittler:
On Camera Calibration for Scene Model Acquisition and Maintenance Using an Active Vision System. ICVS 1999: 509-521 - 1998
- [j5]Josef Kittler, Mohamad Hatef, Robert P. W. Duin, Jiri Matas:
On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 226-239 (1998) - [c24]Kenneth Jonsson, Jiri Matas, Josef Kittler, S. Haberl:
Saliency-Based Robust Correlation for Real-Time Face Registration and Verification. BMVC 1998: 1-10 - [c23]Jiri Matas, Charles Galambos, Josef Kittler:
Progressive Probabilistic Hough Transform. BMVC 1998: 1-10 - [c22]Soh Ling Min, Jiri Matas, Josef Kittler:
Model acquisition and matching in tagged object recognition (TOR). EUSIPCO 1998: 1-4 - [c21]Michael Reiter, Jiri Matas:
Object-detection with a varying number of eigenspace projections. ICPR 1998: 759-761 - [c20]Medha Pandit, Josef Kittler, Jiri Matas:
Selection of speaker independent feature for a speaker verification system. ICPR 1998: 1034-1036 - [c19]Soh Ling Min, Jiri Matas, Josef Kittler:
Recognition using labelled objects. ICPR 1998: 1336-1338 - [c18]Rupert Young, Josef Kittler, Jiri Matas:
Hypothesis selection for scene interpretation using grammatical models of scene evolution. ICPR 1998: 1718-1720 - 1997
- [j4]Josef Kittler, Jiri Matas, Kenneth Jonsson, M. Ulises Ramos Sánchez:
Combining evidence in personal identity verification systems. Pattern Recognit. Lett. 18(9): 845-852 (1997) - [c17]Josef Kittler, Yongping Li, Jiri Matas, M. Ulises Ramos Sánchez:
Lip-shape Dependent Face Verification. AVBPA 1997: 61-68 - [c16]M. Ulises Ramos Sánchez, Jiri Matas, Josef Kittler:
Statistical Chromaticity Models for Lip Tracking with B-splines. AVBPA 1997: 69-76 - [c15]Josef Kittler, Yongping Li, Jiri Matas, M. Ulises Ramos Sánchez:
Combining Evidence in Multimodal Personal Identity Recognition Systems. AVBPA 1997: 327-334 - [c14]Jiri Matas, Kenneth Jonsson, Josef Kittler:
Fast Face Localisation and Verification. BMVC 1997 - [c13]M. Ulises Ramos Sánchez, Jiri Matas, Josef Kittler:
Statistical chromaticity-based lip tracking with B-splines. ICASSP 1997: 2973-2976 - [c12]Jiri Matas, Soh Ling Min, Josef Kittler:
Object Recognition Using a Tag. ICIP (1) 1997: 877-880 - 1996
- [c11]Henrik I. Christensen, Jiri Matas, Josef Kittler:
Using grammars for scene interpretation. ICIP (2) 1996: 793-796 - [c10]Andrew Griffin, Josef Kittler, Terry Windeatt, Jiri Matas:
Techniques for the interpretation of thermal paint coated samples. ICPR 1996: 959-963 - 1995
- [j3]Paolo Remagnino, John Illingworth, Josef Kittler, Jiri Matas:
Intentional control of camera look direction and viewpoint in an active vision system. Image Vis. Comput. 13(2): 79-88 (1995) - [j2]Jiri Matas, Radek Marik, Josef Kittler:
Colour-based object recognition under spectrally non-uniform illumination. Image Vis. Comput. 13(9): 663-669 (1995) - [c9]Jiri Matas, Josef Kittler:
Spatial and Feature Space Clustering: Applications in Image Analysis. CAIP 1995: 162-173 - [c8]Jiri Matas, Radek Marik, Josef Kittler:
On Representation and Matching of Multi-Coloured Objects. ICCV 1995: 726-732 - [c7]Jiri Matas, Zhimin Shao, Josef Kittler:
Estimation of Curvature and Tangent Direction by Median Filtered Differencing. ICIAP 1995: 83-88 - 1994
- [c6]Jiri Matas, Radek Marik, Josef Kittler:
Illumination Invariant Colour Recognition. BMVC 1994: 1-10 - [c5]Dekun Yang, Josef Kittler, George Matas:
Recognition of Cylindrical Objects Using Occluding Boundaries Obtained from Colour Based Segmentation. BMVC 1994: 1-10 - 1993
- [j1]Jiri Matas, Josef Kittler:
Junction detection using probabilistic relaxation. Image Vis. Comput. 11(4): 197-202 (1993) - [c4]Jiri Matas, Radek Marik, Josef Kittler:
Generation, Verification and Localization of Object Hypotheses based on Colour. BMVC 1993: 1-10 - 1992
- [c3]Jiri Matas, Josef Kittler:
Contextual Junction Finder. BMVC 1992: 1-10 - [c2]Paolo Remagnino, Josef Kittler, George Matas, John Illingworth:
On Computing the Next Look Camera Parameters in Active Vision. ECAI 1992: 806-807 - 1991
- [c1]A. Etemadi, J.-P. Schmidt, George Matas, John Illingworth, Josef Kittler:
Low-level Grouping of Straight Line Segments. BMVC 1991: 1-9
Coauthor Index
Daniel Barath
aka: Dániel Baráth
aka: Dániel Baráth
Luka Cehovin
aka: Luka Cehovin Zajc
aka: Luka Cehovin Zajc
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Tomas Hodan
aka: Tomás Hodan
aka: Tomás Hodan
Joni-Kristian Kämäräinen
aka: Joni-Kristian Kamarainen
aka: Joni-Kristian Kamarainen
[c239] [c221] [c209] [c192] [c177] [j14] [j11] [c52] [c51] [j10] [j9] [c44] [c43] [j8] [c42] [c41] [c40] [j7] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [j6] [c30] [c29] [c28] [c27] [c26] [c25] [j5] [c24] [c23] [c22] [c20] [c19] [c18] [j4] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j3] [j2] [c9] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c2] [c1]
Tomás Vojír
aka: Tomas Vojir
aka: Tomas Vojir
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