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Institution

Commonwealth Scientific and Industrial Research Organisation

GovernmentCanberra, Australian Capital Territory, Australia
About: Commonwealth Scientific and Industrial Research Organisation is a government organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Population & Soil water. The organization has 33765 authors who have published 79910 publications receiving 3356114 citations.


Papers
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Book ChapterDOI
Matej Kristan1, Ales Leonardis2, Jiří Matas3, Michael Felsberg4, Roman Pflugfelder5, Luka Cehovin1, Tomas Vojir3, Gustav Häger4, Alan Lukežič1, Gustavo Fernandez5, Abhinav Gupta6, Alfredo Petrosino7, Alireza Memarmoghadam8, Alvaro Garcia-Martin9, Andres Solis Montero10, Andrea Vedaldi11, Andreas Robinson4, Andy J. Ma12, Anton Varfolomieiev13, A. Aydin Alatan14, Aykut Erdem15, Bernard Ghanem16, Bin Liu, Bohyung Han17, Brais Martinez18, Chang-Ming Chang19, Changsheng Xu20, Chong Sun21, Daijin Kim17, Dapeng Chen22, Dawei Du20, Deepak Mishra23, Dit-Yan Yeung24, Erhan Gundogdu25, Erkut Erdem15, Fahad Shahbaz Khan4, Fatih Porikli26, Fatih Porikli27, Fei Zhao20, Filiz Bunyak28, Francesco Battistone7, Gao Zhu27, Giorgio Roffo29, Gorthi R. K. Sai Subrahmanyam23, Guilherme Sousa Bastos30, Guna Seetharaman31, Henry Medeiros32, Hongdong Li27, Honggang Qi20, Horst Bischof33, Horst Possegger33, Huchuan Lu21, Hyemin Lee17, Hyeonseob Nam34, Hyung Jin Chang35, Isabela Drummond30, Jack Valmadre11, Jae-chan Jeong36, Jaeil Cho36, Jae-Yeong Lee36, Jianke Zhu37, Jiayi Feng20, Jin Gao20, Jin-Young Choi, Jingjing Xiao2, Ji-Wan Kim36, Jiyeoup Jeong, João F. Henriques11, Jochen Lang10, Jongwon Choi, José M. Martínez9, Junliang Xing20, Junyu Gao20, Kannappan Palaniappan28, Karel Lebeda38, Ke Gao28, Krystian Mikolajczyk35, Lei Qin20, Lijun Wang21, Longyin Wen19, Luca Bertinetto11, Madan Kumar Rapuru23, Mahdieh Poostchi28, Mario Edoardo Maresca7, Martin Danelljan4, Matthias Mueller16, Mengdan Zhang20, Michael Arens, Michel Valstar18, Ming Tang20, Mooyeol Baek17, Muhammad Haris Khan18, Naiyan Wang24, Nana Fan39, Noor M. Al-Shakarji28, Ondrej Miksik11, Osman Akin15, Payman Moallem8, Pedro Senna30, Philip H. S. Torr11, Pong C. Yuen12, Qingming Huang20, Qingming Huang39, Rafael Martin-Nieto9, Rengarajan Pelapur28, Richard Bowden38, Robert Laganiere10, Rustam Stolkin2, Ryan Walsh32, Sebastian B. Krah, Shengkun Li19, Shengping Zhang39, Shizeng Yao28, Simon Hadfield38, Simone Melzi29, Siwei Lyu19, Siyi Li24, Stefan Becker, Stuart Golodetz11, Sumithra Kakanuru23, Sunglok Choi36, Tao Hu20, Thomas Mauthner33, Tianzhu Zhang20, Tony P. Pridmore18, Vincenzo Santopietro7, Weiming Hu20, Wenbo Li40, Wolfgang Hübner, Xiangyuan Lan12, Xiaomeng Wang18, Xin Li39, Yang Li37, Yiannis Demiris35, Yifan Wang21, Yuankai Qi39, Zejian Yuan22, Zexiong Cai12, Zhan Xu37, Zhenyu He39, Zhizhen Chi21 
08 Oct 2016
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

744 citations

Journal ArticleDOI
TL;DR: A new procedure (DOMAIN) is described which computes potential distributions based on a range-standardized, point-to-point similarity metric and provides a simple, robust method for modelling potential distributions of plant and animal species.
Abstract: This paper briefly reviews some limitations associated with the application of existing modelling procedures to conservation ecology, and describes a new procedure (DOMAIN) which avoids these problems. The procedure computes potential distributions based on a range-standardized, point-to-point similarity metric and provides a simple, robust method for modelling potential distributions of plant and animal species. DOMAIN offers advantages over similar methods in its ability to operate effectively using only presence records and a limited number of biophysical attributes. The use of a continuous similarity function gives DOMAIN increased flexibility as an heuristic tool, suitable for application in survey design, reserve selection and potential mapping of rare and common species. Potential distributions were computed for two Australian marsupial bettong species (Aepyprymnus rufescens ‘Gray’ and Bettongia tropica Wakefield) using DOMAIN and two alternative models. Of the three procedures, the DOMAIN model produced distribution patterns that were most consistent with the known ecology of the species, and most appropriate for survey design.

741 citations

Proceedings ArticleDOI
12 Apr 2010
TL;DR: Ear-Phone, for the first time, leverages Compressive Sensing to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection.
Abstract: A noise map facilitates monitoring of environmental noise pollution in urban areas. It can raise citizen awareness of noise pollution levels, and aid in the development of mitigation strategies to cope with the adverse effects. However, state-of-the-art techniques for rendering noise maps in urban areas are expensive and rarely updated (months or even years), as they rely on population and traffic models rather than on real data. Participatory urban sensing can be leveraged to create an open and inexpensive platform for rendering up-to-date noise maps.In this paper, we present the design, implementation and performance evaluation of an end-to-end participatory urban noise mapping system called Ear-Phone. Ear-Phone, for the first time, leverages Compressive Sensing to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection. Ear-Phone, implemented on Nokia N95 and HP iPAQ mobile devices, also addresses the challenge of collecting accurate noise pollution readings at a mobile device. Extensive simulations and outdoor experiments demonstrate that Ear-Phone is a feasible platform to assess noise pollution, incurring reasonable system resource consumption at mobile devices and providing high reconstruction accuracy of the noise map.

741 citations

Journal ArticleDOI
22 Jun 2007-Science
TL;DR: Measurements of midday vertical atmospheric CO2 distributions reveal annual-mean vertical CO2 gradients that are inconsistent with atmospheric models that estimate a large transfer of terrestrial carbon from tropical to northern latitudes, suggesting that northern terrestrial uptake of industrial CO2 emissions plays a smaller role than previously thought.
Abstract: Measurements of midday vertical atmospheric CO2 distributions reveal annual-mean vertical CO2 gradients that are inconsistent with atmospheric models that estimate a large transfer of terrestrial carbon from tropical to northern latitudes. The three models that most closely reproduce the observed annual-mean vertical CO2 gradients estimate weaker northern uptake of –1.5 petagrams of carbon per year (Pg C year–1) and weaker tropical emission of +0.1 Pg C year–1 compared with previous consensus estimates of –2.4 and +1.8 Pg C year–1, respectively. This suggests that northern terrestrial uptake of industrial CO2 emissions plays a smaller role than previously thought and that, after subtracting land-use emissions, tropical ecosystems may currently be strong sinks for CO2.

732 citations


Authors

Showing all 33864 results

NameH-indexPapersCitations
David R. Williams1782034138789
Mark E. Cooper1581463124887
Kevin J. Gaston15075085635
Liming Dai14178182937
John D. Potter13779575310
Lei Zhang135224099365
Harold A. Mooney135450100404
Frederick M. Ausubel13338960365
Rajkumar Buyya133106695164
Robert B. Jackson13245891332
Peter Hall132164085019
Frank Caruso13164161748
Paul J. Crutzen13046180651
Andrew Y. Ng130345164995
Lei Zhang130231286950
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022223
20213,358
20203,613
20193,600
20183,262