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- Gemmell, Nathan R., et al.
(author)
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A miniaturized 4K platform for superconducting infrared photon counting detectors
- 2017
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In: Superconductors Science and Technology. - : Institute of Physics Publishing (IOPP). - 0953-2048 .- 1361-6668. ; 30:11
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Journal article (peer-reviewed)abstract
- We report on a miniaturized platform for superconducting infrared photon counting detectors. We have implemented a fibre-coupled superconducting nanowire single photon detector in a Stirling/Joule-Thomson platform with a base temperature of 4.2 K. We have verified a cooling power of 4 mW at 4.7 K. We report 20% system detection efficiency at 1310 nm wavelength at a dark count rate of 1 kHz. We have carried out compelling application demonstrations in single photon depth metrology and singlet oxygen luminescence detection.
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- Benjamin, Daniel J., et al.
(author)
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Redefine statistical significance
- 2018
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In: Nature Human Behaviour. - : Nature Research (part of Springer Nature). - 2397-3374. ; 2:1, s. 6-10
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Journal article (other academic/artistic)
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- Felsberg, Michael, 1974-, et al.
(author)
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The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results
- 2016
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In: Computer Vision – ECCV 2016 Workshops. ECCV 2016.. - Cham : SPRINGER INT PUBLISHING AG. - 9783319488813 - 9783319488806 ; , s. 824-849
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Conference paper (peer-reviewed)abstract
- The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
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- Joshi, Siddarth Koduru, et al.
(author)
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Space QUEST mission proposal : experimentally testing decoherence due to gravity
- 2018
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In: New Journal of Physics. - : IOP Publishing. - 1367-2630. ; 20
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Journal article (peer-reviewed)abstract
- Models of quantum systems on curved space-times lack sufficient experimental verification. Some speculative theories suggest that quantum correlations, such as entanglement, may exhibit different behavior to purely classical correlations in curved space. By measuring this effect or lack thereof, we can test the hypotheses behind several such models. For instance, as predicted by Ralph et al [5] and Ralph and Pienaar [1], a bipartite entangled system could decohere if each particle traversed through a different gravitational field gradient. We propose to study this effect in a ground to space uplink scenario. We extend the above theoretical predictions of Ralph and coworkers and discuss the scientific consequences of detecting/failing to detect the predicted gravitational decoherence. We present a detailed mission design of the European Space Agency's Space QUEST (Space-Quantum Entanglement Space Test) mission, and study the feasibility of the mission scheme.
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- Kristan, Matej, et al.
(author)
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The Visual Object Tracking VOT2015 challenge results
- 2015
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In: Proceedings 2015 IEEE International Conference on Computer Vision Workshops ICCVW 2015. - : IEEE. - 9780769557205 ; , s. 564-586
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website(1).
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- Kristan, Matej, et al.
(author)
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The Visual Object Tracking VOT2016 Challenge Results
- 2016
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In: COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II. - Cham : SPRINGER INT PUBLISHING AG. - 9783319488813 - 9783319488806 ; , s. 777-823
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Conference paper (peer-reviewed)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.
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- MacKenzie, Ewan N., et al.
(author)
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Photon counting carbon dioxide gas sensing at 2.05 mu m wavelength
- 2023
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In: QUANTUM OPTICS AND PHOTON COUNTING 2023. - : SPIE-Intl Soc Optical Eng.
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Conference paper (peer-reviewed)abstract
- We demonstrate proof-of-principle carbon dioxide (CO2) sensing at 2.05 mu m wavelength using a commercial infrared superconducting nanowire single photon detector (SNSPD). We verify the absorption peaks within the tuning range of the illumination source and perform a differential measurement within one of these peaks to detect a changing concentration of carbon dioxide within a gas cell. We demonstrate that SNSPDs are a promising enabling technology for short wave and mid wave infrared gas remote sensing.
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