SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Lu Dong Fei) "

Search: WFRF:(Lu Dong Fei)

  • Result 1-10 of 38
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  • 2019
  • Journal article (peer-reviewed)
  •  
3.
  •  
4.
  •  
5.
  •  
6.
  • Kristan, Matej, et al. (author)
  • The first visual object tracking segmentation VOTS2023 challenge results
  • 2023
  • In: 2023 IEEE/CVF International conference on computer vision workshops (ICCVW). - : Institute of Electrical and Electronics Engineers Inc.. - 9798350307443 - 9798350307450 ; , s. 1788-1810
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website1
  •  
7.
  • 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).
  •  
8.
  • Kristan, Matej, et al. (author)
  • The Ninth Visual Object Tracking VOT2021 Challenge Results
  • 2021
  • In: 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021). - : IEEE COMPUTER SOC. - 9781665401913 ; , s. 2711-2738
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website(1).
  •  
9.
  • Weinstein, John N., et al. (author)
  • The cancer genome atlas pan-cancer analysis project
  • 2013
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 45:10, s. 1113-1120
  • Research review (peer-reviewed)abstract
    • The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile. © 2013 Nature America, Inc. All rights reserved.
  •  
10.
  • Akiyama, Kazunori, et al. (author)
  • The persistent shadow of the supermassive black hole of M 87: I. Observations, calibration, imaging, and analysis*
  • 2024
  • In: Astronomy and Astrophysics. - 0004-6361 .- 1432-0746. ; 681
  • Journal article (peer-reviewed)abstract
    • In April 2019, the Event Horizon Telescope (EHT) Collaboration reported the first-ever event-horizon-scale images of a black hole, resolving the central compact radio source in the giant elliptical galaxy M 87. These images reveal a ring with a southerly brightness distribution and a diameter of ∼42 μas, consistent with the predicted size and shape of a shadow produced by the gravitationally lensed emission around a supermassive black hole. These results were obtained as part of the April 2017 EHT observation campaign, using a global very long baseline interferometric radio array operating at a wavelength of 1.3 mm. Here, we present results based on the second EHT observing campaign, taking place in April 2018 with an improved array, wider frequency coverage, and increased bandwidth. In particular, the additional baselines provided by the Greenland telescope improved the coverage of the array. Multiyear EHT observations provide independent snapshots of the horizon-scale emission, allowing us to confirm the persistence, size, and shape of the black hole shadow, and constrain the intrinsic structural variability of the accretion flow. We have confirmed the presence of an asymmetric ring structure, brighter in the southwest, with a median diameter of 43.3-3.1+1.5 μas. The diameter of the 2018 ring is remarkably consistent with the diameter obtained from the previous 2017 observations. On the other hand, the position angle of the brightness asymmetry in 2018 is shifted by about 30 relative to 2017. The perennial persistence of the ring and its diameter robustly support the interpretation that the ring is formed by lensed emission surrounding a Kerr black hole with a mass ∼6.5× 109M. The significant change in the ring brightness asymmetry implies a spin axis that is more consistent with the position angle of the large-scale jet.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 38
Type of publication
journal article (32)
conference paper (4)
research review (2)
Type of content
peer-reviewed (38)
Author/Editor
Benson, Bradford A. (23)
Crawford, Thomas M. (23)
Kim, Jae-Young (23)
Akiyama, Kazunori (23)
Alberdi, Antxon (23)
Alef, Walter (23)
show more...
Ball, David (23)
Barrett, John (23)
Bintley, Dan (23)
Blackburn, Lindy (23)
Brissenden, Roger (23)
Britzen, Silke (23)
Broderick, Avery E. (23)
Bronzwaer, Thomas (23)
Byun, Do Young (23)
Chen, Ming Tang (23)
Chen, Yongjun (23)
Christian, Pierre (23)
Conway, John, 1963 (23)
Cui, Yuzhu (23)
Davelaar, Jordy (23)
Desvignes, Gregory (23)
Eatough, Ralph P. (23)
Fromm, Christian M. (23)
Galison, Peter (23)
Gammie, Charles F. (23)
Gentaz, Olivier (23)
Gu, Minfeng (23)
Huang, Chih Wei L. (23)
Huang, Lei (23)
Inoue, Makoto (23)
James, David J. (23)
Jannuzi, Buell T. (23)
Jeter, Britton (23)
Jiang, Wu (23)
Jung, Taehyun (23)
Kawashima, Tomohisa (23)
Kim, Junhan (23)
Koay, Jun Yi (23)
Koyama, Shoko (23)
Lee, Sang Sung (23)
De Laurentis, Mariaf ... (23)
Li, Zhiyuan (23)
Lindqvist, Michael, ... (23)
Liu, Kuo (23)
Liuzzo, Elisabetta (23)
Lo, Wen-Ping (23)
Mao, Jirong (23)
Matthews, Lynn D. (23)
Mizuno, Yosuke (23)
show less...
University
Chalmers University of Technology (25)
Linköping University (6)
Karolinska Institutet (5)
Umeå University (4)
Lund University (4)
University of Gothenburg (2)
show more...
Uppsala University (2)
Stockholm University (2)
Royal Institute of Technology (1)
Halmstad University (1)
Linnaeus University (1)
Swedish University of Agricultural Sciences (1)
show less...
Language
English (38)
Research subject (UKÄ/SCB)
Natural sciences (32)
Medical and Health Sciences (9)
Engineering and Technology (7)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view