Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cherkeng Heng"'
Autor:
Shantanu Singh, Claire McQuin, Juan C. Caicedo, Marzieh Haghighi, CherKeng Heng, Jeanelle Ackerman, Anne E. Carpenter, Allen Goodman, Kyle W. Karhohs, Mohammad Hossein Rohban, Minh Doan, Beth A. Cimini, Tim Becker
Publikováno v:
Nature Methods
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative analysis of imaging data for biological and biomedical applications. Many bioimage analysis tools can segment nuclei in images but need to be selected and
Autor:
Juan C. Caicedo, Kyle W. Karhohs, Shantanu Singh, Anne E. Carpenter, CherKeng Heng, Claire McQuin, Jeanelle Ackerman, Tim Becker, Minh Doan, Beth A. Cimini, Marzieh Haghighi, Allen Goodman, Mohammad Hossein Rohban
Publikováno v:
Nature Methods
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative analysis of imaging data for biological and biomedical applications. Many bioimage analysis tools can segment nuclei in images but need to be selected and
Autor:
Kristoffer Öfjäll, Zhen Lei, Fahad Shahbaz Khan, Karel Lebeda, Tomas Vojir, Ming-Ming Cheng, Jorge Batista, Georg Nebehay, Dominik Pangersic, Bohyung Han, Ales Leonardis, Jin-Woo Choi, Lei Qin, Seunghoon Hong, Yuankai Qi, Cherkeng Heng, Amir Saffari, Jiri Matas, Jijia Li, Gustav Häger, Weiyao Lin, Christophe Garcia, Stan Z. Li, Alfredo Petrosino, Martin Danelljan, Michael Felsberg, Kwang Moo Yi, Sam Hare, Mario Edoardo Maresca, Joost van de Weijer, Bo Li, Hyeonseob Nam, Aleksandar Dimitriev, Horst Bischof, Matej Kristan, Simon Hadfield, Vibhav Vineet, Philip H. S. Torr, Zhiheng Niu, Luka Cehovin, Jianke Zhu, Richard Bowden, Horst Possegger, Longyin Wen, Alan Lukezic, Stuart Golodetz, Thomas Mauthner, Gustavo Fernandez, Jin-Young Choi, Samantha Yueying Lim, Qingming Huang, João F. Henriques, Yang Li, Stefan Duffner, Roman Pflugfelder, Franci Oven, Shengcai Liao
Publikováno v:
Computer Vision-ECCV 2014 Workshops ISBN: 9783319161808
ECCV Workshops (2)
Workshop on Visual Object Tracking Challenge (VOT2014)-ECCV
Workshop on Visual Object Tracking Challenge (VOT2014)-ECCV, Sep 2014, Zurich, Switzerland. pp.1-27
ECCV Workshops (2)
Workshop on Visual Object Tracking Challenge (VOT2014)-ECCV
Workshop on Visual Object Tracking Challenge (VOT2014)-ECCV, Sep 2014, Zurich, Switzerland. pp.1-27
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. The number of tested trackers makes VOT 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec65e47dd03dfe9e0bfab5419a98ce2
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121006
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121006
Autor:
Mohamed El Helw, Yang Li, Lijun Cao, Samantha Yueying Lim, Behzad Bozorgtabar, Junge Zhang, Adam Gatt, Matej Kristan, Dorothy Monekosso, Karel Lebeda, ZhiHeng Niu, Dale A. Ward, Alfredo Petrosino, Paolo Remagnino, Xiaoqin Zhang, David Kearney, Jin Gao, Jianke Zhu, Weiming Hu, Ahmad Khajenezhad, Mario Edoardo Maresca, Gustavo Fernandez, Fatih Porikli, Luka Cehovin, Mei Kuan Lim, Bo Li, Ale Leonardis, Kaiqi Huang, Sebastien Wong, Jingjing Xiao, Cherkeng Heng, Roland Goecke, Georg Nebehay, Roman Pflugfelder, Rustam Stolkin, Anthony Milton, Shin'Ichi Satoh, Jiri Matas, Richard Bowden, Weihua Chen, Hamid R. Rabiee, Ali Zarezade, Sara Maher, Ali Soltani-Farani, Ahmed Salahledin, Michael Felsberg, Junliang Xing, Hakki Can Karaimer, Sebastien Poullot, Toma Vojir, Chee Seng Chan
Publikováno v:
ICCV Workshops
2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013; Sydney, NSW; Australia; 1 December 2013 through 8 December 2013
Visual tracking has attracted a significant attention in the last few decades. The recent surge in
Visual tracking has attracted a significant attention in the last few decades. The recent surge in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb7bcfb667d04a42bb42b31360fc6985
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135710
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135710
Publikováno v:
2011 IEEE International Conference on Automatic Face & Gesture Recognition & Workshops (FG 2011); 2011, p673-678, 6p