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Träfflista för sökning "WFRF:(Zhang Zhu ming) srt2:(2015-2019)"

Search: WFRF:(Zhang Zhu ming) > (2015-2019)

  • Result 1-10 of 138
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1.
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2.
  • 2019
  • Journal article (peer-reviewed)
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3.
  • Kristanl, Matej, et al. (author)
  • The Seventh Visual Object Tracking VOT2019 Challenge Results
  • 2019
  • In: 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE COMPUTER SOC. - 9781728150239 ; , s. 2206-2241
  • Conference paper (peer-reviewed)abstract
    • 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. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. 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 dataset, the evaluation kit and the results are publicly available at the challenge website(1).
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4.
  • Aad, G, et al. (author)
  • Measurements of fiducial cross-sections for [Formula: see text] production with one or two additional b-jets in pp collisions at [Formula: see text]=8 TeV using the ATLAS detector.
  • 2016
  • In: European Physical Journal C. Particles and Fields. - : Springer Science and Business Media LLC. - 1434-6044. ; 76
  • Journal article (peer-reviewed)abstract
    • Fiducial cross-sections for [Formula: see text] production with one or two additional b-jets are reported, using an integrated luminosity of 20.3 fb[Formula: see text] of proton-proton collisions at a centre-of-mass energy of 8 TeV at the Large Hadron Collider, collected with the ATLAS detector. The cross-section times branching ratio for [Formula: see text] events with at least one additional b-jet is measured to be 950 [Formula: see text] 70 (stat.) [Formula: see text] (syst.) fb in the lepton-plus-jets channel and 50 [Formula: see text] 10 (stat.) [Formula: see text] (syst.) fb in the [Formula: see text] channel. The cross-section times branching ratio for events with at least two additional b-jets is measured to be 19.3 [Formula: see text] 3.5 (stat.) [Formula: see text] 5.7 (syst.) fb in the dilepton channel ([Formula: see text], [Formula: see text], and ee) using a method based on tight selection criteria, and 13.5 [Formula: see text] 3.3 (stat.) [Formula: see text] 3.6 (syst.) fb using a looser selection that allows the background normalisation to be extracted from data. The latter method also measures a value of 1.30 [Formula: see text] 0.33 (stat.) [Formula: see text] 0.28 (syst.)% for the ratio of [Formula: see text] production with two additional b-jets to [Formula: see text] production with any two additional jets. All measurements are in good agreement with recent theory predictions.
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5.
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6.
  • Aad, G., et al. (author)
  • 2016
  • In: Journal of High Energy Physics. - : Springer. - 1029-8479 .- 1126-6708. ; :1
  • Journal article (peer-reviewed)
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7.
  • Aad, G., et al. (author)
  • 2015
  • In: Physical Review D. Particles and fields. - : American Physical Society. - 0556-2821 .- 1089-4918. ; 92:9
  • Journal article (peer-reviewed)
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8.
  • Aad, G., et al. (author)
  • 2015
  • In: Physical Review D. Particles and fields. - : American Physics Society. - 0556-2821 .- 1089-4918. ; 92:11
  • Journal article (peer-reviewed)
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9.
  • Aad, G, et al. (author)
  • 2015
  • swepub:Mat__t
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10.
  • Aad, G., et al. (author)
  • 2015
  • In: Journal of High Energy Physics. - : Springer. - 1029-8479 .- 1126-6708. ; :12
  • Journal article (peer-reviewed)
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  • Result 1-10 of 138
Type of publication
journal article (128)
conference paper (7)
research review (2)
Type of content
peer-reviewed (136)
other academic/artistic (1)
Author/Editor
Chen, L (114)
Aad, G (114)
Abbott, B. (114)
Abdinov, O (114)
Aben, R. (114)
Abreu, H. (114)
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Adye, T. (114)
Ahmadov, F. (114)
Aielli, G. (114)
Albert, J. (114)
Albrand, S. (114)
Aleksa, M. (114)
Alhroob, M. (114)
Alio, L. (114)
Alonso, A. (114)
Alonso, F. (114)
Amako, K. (114)
Amelung, C. (114)
Amorim, A. (114)
Amoroso, S. (114)
Amram, N. (114)
Ancu, L. S. (114)
Andari, N. (114)
Andeen, T. (114)
Anders, G. (114)
Anger, P. (114)
Anjos, N. (114)
Annovi, A. (114)
Antonov, A. (114)
Anulli, F. (114)
Aoki, M. (114)
Arai, Y. (114)
Arnaez, O. (114)
Arslan, O. (114)
Artoni, G. (114)
Asai, S. (114)
Asbah, N. (114)
Asquith, L. (114)
Astalos, R. (114)
Augsten, K. (114)
Avolio, G. (114)
Azuelos, G. (114)
Bacci, C. (114)
Backes, M. (114)
Bai, Y. (114)
Bain, T. (114)
Baker, O. K. (114)
Balli, F. (114)
Banas, E. (114)
Barbero, M. (114)
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University
Lund University (122)
Uppsala University (99)
Stockholm University (97)
Royal Institute of Technology (92)
Umeå University (8)
Linköping University (7)
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Karolinska Institutet (5)
Chalmers University of Technology (3)
University of Gothenburg (2)
Halmstad University (1)
Örebro University (1)
Södertörn University (1)
Högskolan Dalarna (1)
Swedish Museum of Natural History (1)
Swedish University of Agricultural Sciences (1)
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Language
English (138)
Research subject (UKÄ/SCB)
Natural sciences (131)
Medical and Health Sciences (10)
Engineering and Technology (1)
Social Sciences (1)

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