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Träfflista för sökning "WFRF:(Cheng Lijun) "

Search: WFRF:(Cheng Lijun)

  • Result 1-8 of 8
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2.
  • 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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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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5.
  • Cheng, Huailei, et al. (author)
  • Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system
  • 2023
  • In: Nature Communications. - 2041-1723 .- 2041-1723. ; 14:1
  • Journal article (peer-reviewed)abstract
    • Reducing greenhouse gas emissions has turned into a pillar of climate change mitigation. Truck platooning is proposed as a strategy to lower emissions from vehicles on roads. However, the potential interactive impacts of this technology on road infrastructure emissions remain unclear. Here, we evaluate the decarbonization effects of truck platooning on the integrated vehicle-road system at a large-scale road network level, spanning 1457 road sections across North America. We show that truck platooning decreases emissions induced by truck operations, but it degrades faster the durability of road infrastructure and leads to a 27.9% rise in road emissions due to more frequent maintenance work. Overall, truck platooning results in a 5.1% emission reduction of the integrated vehicle-road system. In contrast to the benefits of emission reduction, truck platooning leads to additional financial burdens on car users and transportation agencies, calling for the consideration of tradeoffs between emissions and costs and between agencies and users. Our research provides insights into the potential applications of truck platooning to mitigate climate change.
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6.
  • Jia, Xue, et al. (author)
  • CsPb(IxBr1-x)(3) solar cells
  • 2019
  • In: Science Bulletin. - : ELSEVIER. - 2095-9273. ; 64:20, s. 1532-1539
  • Journal article (peer-reviewed)abstract
    • Owing to its nice performance, low cost, and simple solution-processing, organic-inorganic hybrid perovskite solar cell (PSC) becomes a promising candidate for next-generation high-efficiency solar cells. The power conversion efficiency (PCE) has boosted from 3.8% to 25.2% over the past ten years. Despite the rapid progress in PCE, the device stability is a key issue that impedes the commercialization of PSCs. Recently, all-inorganic cesium lead halide perovskites have attracted much attention due to their better stability compared with their organic-inorganic counterpart. In this progress report, we summarize the properties of CsPb(IxBr1-x)(3) and their applications in solar cells. The current challenges and corresponding solutions are discussed. Finally, we share our perspectives on CsPb(IxBr1-x)(3) solar cells and outline possible directions to further improve the device performance. (C) 2019 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
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7.
  • 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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8.
  • Lu, Zhaohui, et al. (author)
  • Microseismic Monitoring of Hydraulic Fracture Propagation and Seismic Risks in Shale Reservoir with a Steep Dip Angle
  • 2022
  • In: Natural Resources Research. - : Springer Nature. - 1520-7439 .- 1573-8981. ; 31:5, s. 2973-2993
  • Journal article (peer-reviewed)abstract
    • Hydraulic fracturing is an essential technique to increase reservoir permeability and enhance the production of shale gas. When the dip angle is steep and geological condition is complex, hydraulic fractures may behave complexly, and research on this topic is critical for the shale gas industry. This paper reports a case study of hydraulic fracturing in a shale reservoir with a steep dip angle. We monitored pump data, including the injection rate and fluid pressure. Microseismic monitoring was also used to record the seismic events and monitor the hydraulic fracture propagation. Our results validated that microseismic monitoring is a feasible technique to monitor the hydraulic fracture propagation in shale reservoirs with steep dip angles. Moreover, the variation in depth of shale reservoir induces significant alternation of local in situ stress states, in which cases the fracture propagation pathway is more complex, and where microseismic monitoring is necessary to acquire the hydraulic fracture distribution. Besides, all sound sources, including quarries and rivers, should be eliminated during microseismic station arrangement to improve accuracy of microseismic signals. Moreover, the relationship between the maximum magnitude of seismic event and fluid injection volume was validated further in this study. Finally, unexpected faults and aquifers may affect hydraulic fracture propagation due to the steep dip angle of the target shale reservoir. Thus, a comprehensive geological survey is essential for better hydraulic fracturing design. Our results provide first-hand in situ hydraulic fracturing data and provide important implications for shale gas development, especially for those shale reservoirs with steep dip angles.
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  • Result 1-8 of 8
Type of publication
journal article (5)
conference paper (3)
Type of content
peer-reviewed (8)
Author/Editor
Wang, Dong (4)
Bhat, Goutam (3)
Matas, Jiri (3)
Leonardis, Ales (3)
Fernandez, Gustavo (3)
Pflugfelder, Roman (3)
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Lukezic, Alan (3)
Zajc, Luka Čehovin (3)
Lu, Huchuan (3)
Xu, Tianyang (3)
Feng, Zhen-Hua (3)
Gorthi, Rama Krishna (3)
Kittler, Josef (3)
Liu, Yang (2)
Zhang, Haitao (2)
Li, Jing (2)
Liu, Bo (2)
van de Weijer, Joost (2)
Zhang, Li (2)
Li, Hui (2)
Timofte, Radu (2)
Gao, Feng (2)
Li, Bo (2)
Bai, Shuai (2)
Felsberg, Michael, 1 ... (2)
Khan, Fahad Shahbaz, ... (2)
Danelljan, Martin (2)
Zhao, Fei (2)
Van Gool, Luc (2)
Yang, Ming-Hsuan (2)
Eldesokey, Abdelrahm ... (2)
Kristan, Matej (2)
Wang, Jinqiao (2)
Bertinetto, Luca (2)
Guo, Qing (2)
Chang, Hyung Jin (2)
Drbohlav, Ondrej (2)
Dunnhofer, Matteo (2)
Feng, Wei (2)
Micheloni, Christian (2)
Yan, Bin (2)
Peng, HouWen (2)
Kamarainen, Joni-Kri ... (2)
Kapyla, Jani (2)
Abdelpakey, Mohamed (2)
Cevikalp, Hakan (2)
Dai, Kenan (2)
Ge, Shiming (2)
Lee, Jun Ha (2)
Memarmoghadam, Alire ... (2)
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University
Linköping University (5)
Uppsala University (2)
Umeå University (1)
Stockholm University (1)
Lund University (1)
Chalmers University of Technology (1)
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Karolinska Institutet (1)
Swedish University of Agricultural Sciences (1)
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Language
English (8)
Research subject (UKÄ/SCB)
Natural sciences (6)
Engineering and Technology (2)
Medical and Health Sciences (1)

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