J
Joni-Kristian Kamarainen
Researcher at Tampere University of Technology
Publications - 193
Citations - 5638
Joni-Kristian Kamarainen is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Feature extraction & Object detection. The author has an hindex of 28, co-authored 183 publications receiving 4549 citations. Previous affiliations of Joni-Kristian Kamarainen include University of Birmingham & University of Surrey.
Papers
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Proceedings ArticleDOI
the DIARETDB1 diabetic retinopathy database and evaluation protocol
Tomi Kauppi,V. Kalesnykiene,Joni-Kristian Kamarainen,Lasse Lensu,Iiris Sorri,A. Raninen,Raimo Voutilainen,Hannu Uusitalo,Heikki Kälviäinen,Juhani Pietilä +9 more
TL;DR: With the proposed database and protocol, it is possible to compare different algorithms, and correspondingly, analyse their maturity for technology transfer from the research laboratories to the medical practice.
Journal ArticleDOI
Differential Evolution Training Algorithm for Feed-Forward Neural Networks
TL;DR: In this study, differential evolution has been analyzed as a candidate global optimization method for feed-forward neural networks and seems not to provide any distinct advantage in terms of learning rate or solution quality.
Proceedings ArticleDOI
The Seventh Visual Object Tracking VOT2019 Challenge Results
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,Shaochuan Zhao,Shengwei Zhao,Shihu Li,Shikun Li,Shiming Ge,Gustavo Fernandez,Shuai Bai,Shuosen Guan,Tengfei Xing,Tianyang Xu,Tianyu Yang,Ting Zhang,Tomas Vojir,Wei Feng,Weiming Hu,Weizhao Wang,Abel Gonzalez-Garcia,Wenjie Tang,Wenjun Zeng,Wenyu Liu,Xi Chen,Xi Qiu,Xiang Bai,Xiaojun Wu,Xiaoyun Yang,Xier Chen,Xin Li,Alireza Memarmoghadam,Xing Sun,Xingyu Chen,Xinmei Tian,Xu Tang,Xue-Feng Zhu,Yan Huang,Yanan Chen,Yanchao Lian,Yang Gu,Yang Liu,Andong Lu,Chen Yanjie,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,Zhen-Hua Feng,Zhenyu He,Zhichao Song,Zhihao Chen,Zhipeng Zhang,Zhirong Wu,Zhiwei Xiong,Zhongjian Huang,Anton Varfolomieiev,Zhu Teng,Zihan Ni,Antoni Chan,Jiri 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 K. Gupta,Dejia Song,Dong Wang,Efstratios Gavves,Eunu Yi,Fahad Shahbaz Khan,Roman Pflugfelder,Fangyi Zhang,Fei Wang,Fei Zhao,George De Ath,Goutam Bhat,Guangqi Chen,Guangting Wang,Guoxuan Li,Hakan Cevikalp,Hao Du,Joni-Kristian Kamarainen,Haojie Zhao,Hasan Saribas,Ho Min Jung,Hongliang Bai,Hongyuan Yu,Houwen Peng,Huchuan Lu,Hui Li,Jiakun Li,Luka Čehovin 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 +179 more
TL;DR: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative; results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Journal ArticleDOI
Invariance properties of Gabor filter-based features-overview and applications
TL;DR: This study provides an overview of Gabor filters in image processing, a short literature survey of the most significant results, and establishes invariance properties and restrictions to the use of Gbps filters in feature extraction.
DIARETDB1 diabetic retinopathy database and evaluation protocol
Tomi Kauppi,V. Kalesnykiene,Joni-Kristian Kamarainen,Lasse Lensu,Iiris Sorri,A. Raninen,Raimo Voutilainen,Juhani Pietilä,Heikki Kälviäinen,Hannu Uusitalo +9 more
TL;DR: In this article, an evaluation methodology is proposed and an image database with ground truth is described, which is publicly available for benchmarking diagnosis algorithms, and correspondingly, analyse their maturity for technology transfer from the research laboratories to the medical practice.