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Institution

ASELSAN

CompanyAnkara, Turkey
About: ASELSAN is a company organization based out in Ankara, Turkey. It is known for research contribution in the topics: Radar & Antenna (radio). The organization has 1045 authors who have published 1366 publications receiving 10840 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors cover the latest developments in enhanced mechanical properties of aluminium alloys, and high performance joining techniques, including laser beam welding and friction stir welding, and compare them with the traditional aluminum alloys.

1,726 citations

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 Zhu26, Giorgio Roffo29, Gorthi R. K. Sai Subrahmanyam23, Guilherme Sousa Bastos30, Guna Seetharaman31, Henry Medeiros32, Hongdong Li26, 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 Huang39, Qingming Huang20, 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
01 Sep 2016-Nature
TL;DR: It is demonstrated that extremely high repetition rates, which make ablation cooling possible, reduce the laser pulse energies needed for ablation and increase the efficiency of the removal process by an order of magnitude over previously used laser parameters.
Abstract: The use of femtosecond laser pulses allows precise and thermal-damage-free removal of material (ablation) with wide-ranging scientific, medical and industrial applications. However, its potential is limited by the low speeds at which material can be removed and the complexity of the associated laser technology. The complexity of the laser design arises from the need to overcome the high pulse energy threshold for efficient ablation. However, the use of more powerful lasers to increase the ablation rate results in unwanted effects such as shielding, saturation and collateral damage from heat accumulation at higher laser powers. Here we circumvent this limitation by exploiting ablation cooling, in analogy to a technique routinely used in aerospace engineering. We apply ultrafast successions (bursts) of laser pulses to ablate the target material before the residual heat deposited by previous pulses diffuses away from the processing region. Proof-of-principle experiments on various substrates demonstrate that extremely high repetition rates, which make ablation cooling possible, reduce the laser pulse energies needed for ablation and increase the efficiency of the removal process by an order of magnitude over previously used laser parameters. We also demonstrate the removal of brain tissue at two cubic millimetres per minute and dentine at three cubic millimetres per minute without any thermal damage to the bulk.

548 citations

Proceedings ArticleDOI
Matej Kristan1, Ales Leonardis2, Jiri Matas3, Michael Felsberg4, Roman Pflugfelder5, Luka Čehovin Zajc1, Tomas Vojir3, Gustav Häger4, Alan Lukezic1, Abdelrahman Eldesokey4, Gustavo Fernandez5, Alvaro Garcia-Martin6, Andrej Muhič1, Alfredo Petrosino7, Alireza Memarmoghadam8, Andrea Vedaldi9, Antoine Manzanera10, Antoine Tran10, A. Aydin Alatan11, Bogdan Mocanu, Boyu Chen12, Chang Huang, Changsheng Xu13, Chong Sun12, Dalong Du, David Zhang, Dawei Du13, Deepak Mishra, Erhan Gundogdu14, Erhan Gundogdu11, Erik Velasco-Salido, Fahad Shahbaz Khan4, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat4, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman15, Hongliang Zhang16, Houqiang Li17, Huchuan Lu12, Isabela Drummond, Jack Valmadre9, Jae-chan Jeong18, Jaeil Cho18, Jae-Yeong Lee18, Jana Noskova, Jianke Zhu19, Jin Gao13, Jingyu Liu13, Ji-Wan Kim18, João F. Henriques9, José M. Martínez, Junfei Zhuang20, Junliang Xing13, Junyu Gao13, Kai Chen21, Kannappan Palaniappan22, Karel Lebeda, Ke Gao22, Kris M. Kitani23, Lei Zhang, Lijun Wang12, Lingxiao Yang, Longyin Wen24, Luca Bertinetto9, Mahdieh Poostchi22, Martin Danelljan4, Matthias Mueller25, Mengdan Zhang13, Ming-Hsuan Yang26, Nianhao Xie16, Ning Wang17, Ondrej Miksik9, Payman Moallem8, Pallavi Venugopal M, Pedro Senna, Philip H. S. Torr9, Qiang Wang13, Qifeng Yu16, Qingming Huang13, Rafael Martin-Nieto, Richard Bowden27, Risheng Liu12, Ruxandra Tapu, Simon Hadfield27, Siwei Lyu28, Stuart Golodetz9, Sunglok Choi18, Tianzhu Zhang13, Titus Zaharia, Vincenzo Santopietro, Wei Zou13, Weiming Hu13, Wenbing Tao21, Wenbo Li28, Wengang Zhou17, Xianguo Yu16, Xiao Bian24, Yang Li19, Yifan Xing23, Yingruo Fan20, Zheng Zhu13, Zhipeng Zhang13, Zhiqun He20 
01 Jul 2017
TL;DR: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative; results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years.
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website1.

485 citations

Proceedings ArticleDOI
17 Apr 2007
TL;DR: In this article, a general analysis of a frequency diverse transmit array antenna with a periodic modulated pattern in range, angle and time is presented, which makes a continuous scanning in range and angle without using any phase shifters.
Abstract: A general analysis of a frequency diverse transmit array antenna with a periodic modulated pattern in range, angle and time is presented. This antenna array system makes a continuous scanning in range and angle without using any phase shifters. The scanning is achieved using the frequency diversity by inserting a small amount of progressive frequency shift to each antenna element. The theory shows that there is the same modulation pattern in time, range and angle by taking the remaining two parameters fixed. The simulation results for radiation patterns of a binomial distribution array are presented. The expressions for determining the position and the angular bearing of a target for this type of antenna array system are given.

287 citations


Authors

Showing all 1058 results

NameH-indexPapersCitations
Damon B. Farmer5616218543
Margaret S. Livingstone5313517259
Çetin Kaya Koç411957946
Hakan Urey382705892
Mujdat Cetin372878166
Reda Alhajj365115921
Erol Sahin28724129
Tolga Çukur221081755
Kemal Leblebicioglu191141210
Osama A. Kandil191361245
Ishak Karakaya18801264
Cagla Ozgit-Akgun18431122
Klaus Werner Schmidt181081199
Caner Durucan18321104
H. Nevzat Özgüven18551868
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202223
202195
2020112
2019133
2018156