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Träfflista för sökning "WFRF:(Li Jun) ;mspu:(conferencepaper)"

Search: WFRF:(Li Jun) > Conference paper

  • Result 1-10 of 68
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1.
  • 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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2.
  • Kristan, Matej, et al. (author)
  • The Sixth Visual Object Tracking VOT2018 Challenge Results
  • 2019
  • In: Computer Vision – ECCV 2018 Workshops. - Cham : Springer Publishing Company. - 9783030110086 - 9783030110093 ; , s. 3-53
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 (http://votchallenge.net).
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3.
  • 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).
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4.
  • 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
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6.
  • Wang, Fu, et al. (author)
  • Experimental study of solar assisted post-combustion carbon capture
  • 2015
  • In: CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE. - : Elsevier BV. ; 75, s. 2246-2252
  • Conference paper (peer-reviewed)abstract
    • Solar-assisted post-combustion carbon capture system is studied to compensate the energy penalty of coal-fired plant due to absorbent regeneration. The system is highly integrated with the amine-based carbon capture process coupled with solar thermal sub-system. The dynamic performance is largely affected by the variations of parameters and the fluctuations in solar collectors. An experimental facility of solar-assisted chemical absorption pilot with two types of collectors (parabolic trough and linear Fresnel) was constructed in this study. The impacts on the absorbent regeneration performance were studied on the dynamic variation of the solar heat and the operating temperature of the reboiler. The results show that an optimum ration of liquid-to-gas of 2.5-3.0 was determined at the lowest of the required regeneration energy. The study suggests that a better understanding of the key parameters associated with both capture process as well as the solar assisted sub-system if of importance for the overall operation and control. (C) 2015 Published by Elsevier Ltd.
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8.
  • Li, Chang-cheng, et al. (author)
  • Perceptual Pavement Markings and their Application
  • 2013
  • In: Proceedings of the 16th International Conference Road Safety on Four Continents. - Linköping : Statens väg- och transportforskningsinstitut.
  • Conference paper (other academic/artistic)abstract
    • Pavement marking is a kind of traffic safety facility that plays important role in road safety. As the development and application of ergonomics in traffic engineering and road safety, perceptual markings appeared in Japan, America and Europe. Perceptual markings warn drivers of potential danger or inform drivers of road condition change by special figure, color, alignment, textile or their combinations that can offer drivers visual, tactile or aural sensations. This paper gives an overall introduction of perceptual markings and their typical application and practice, which can be referred by traffic practitioners.
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9.
  • Li, Xin, et al. (author)
  • Study on enhancement of fluorescence with gold nanorods
  • 2008
  • In: Asia Optical Fiber Communication and Optoelectronic Exposition and Conference 2008. - : Optical Society of America. - 9781557528636
  • Conference paper (peer-reviewed)abstract
    • Enhancement of fluorescence of streptavidin conjugated with gold nanorods (GNRs) was observed. The impact of GNRs with different surface plasmon resonance bands and different concentrations to the efficiency of the fluorescence enhancement was studied.
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10.
  • Lu, Xiang, et al. (author)
  • Fine-Granularity Bandwidth Allocation for Diverse Low-Latency Services in Higher-Speed Passive Optical Networks
  • 2022
  • In: Asia Communications and Photonics Conference, ACP. - 2162-108X. ; 2022-November, s. 1135-1139
  • Conference paper (peer-reviewed)abstract
    • To support time-sensitive (TS) services with differential low latency requirements, this paper proposes a fine-granularity bandwidth allocation algorithm (FgBA) in higher speed passive optical networks (i.e., ITU-T 50G PON). Simulation results show that FgBA can meet the diverse low latency requirements of TS services regardless of traffic load.
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  • Result 1-10 of 68
Type of publication
Type of content
peer-reviewed (62)
other academic/artistic (6)
Author/Editor
Li, Jun (17)
Li, Xin (9)
Chen, Jiajia (7)
He, Sailing (7)
Qian, Jun (7)
Li, Jian (5)
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Zhan, Qiuqiang (5)
Ling, Jun (5)
Wang, Dong (4)
Zhao, Li (4)
Gao, Jie (4)
Bhat, Goutam (4)
Li, Jun, 1988 (4)
Matas, Jiri (4)
Fernandez, Gustavo (4)
Lukezic, Alan (4)
Zajc, Luka Čehovin (4)
Chen, X. (3)
Lu, Jun (3)
Yang, Jian, 1960 (3)
Wittek, Peter (3)
Chen, Lei (3)
Wang, Shu Min, 1963 (3)
Smith, Ulf (3)
Chen, Qiang (3)
Zheng, Li-Rong (3)
Yang, Weihong (3)
Blasiak, Wlodzimierz (3)
Zhang, Jun (3)
Li, Bin (3)
van de Weijer, Joost (3)
Vallin, Örjan (3)
Zhu, Kai (3)
Pang, Zhibo (3)
Ma, Jun (3)
Danelljan, Martin (3)
Fan, Jin (3)
Van Gool, Luc (3)
Shao, Jun (3)
Zhang, Zhi (3)
Yang, Ming-Hsuan (3)
Yan, Yihua (3)
Cao, Hailin (3)
Kristan, Matej (3)
Leonardis, Ales (3)
Pflugfelder, Roman (3)
Gao, Shi Chao (3)
Jiang, Wen Jun (3)
Norström, Hans (3)
Chang, Hyung Jin (3)
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University
Royal Institute of Technology (27)
Chalmers University of Technology (13)
Uppsala University (9)
Linköping University (5)
Luleå University of Technology (3)
Örebro University (3)
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University of Borås (3)
Lund University (2)
University of Gothenburg (1)
Umeå University (1)
Stockholm University (1)
Mälardalen University (1)
Mid Sweden University (1)
RISE (1)
VTI - The Swedish National Road and Transport Research Institute (1)
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Language
English (68)
Research subject (UKÄ/SCB)
Engineering and Technology (44)
Natural sciences (29)
Medical and Health Sciences (2)
Social Sciences (2)

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