4,181 to 4,190 of 4,319 Results
Tabular Data - 35.5 KB - 15 Variables, 345 Observations - UNF:6:7CvbdJ7gVsJec9GQ0OOPww==
iTCM personal dataset1 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Tabular Data - 39.1 KB - 15 Variables, 380 Observations - UNF:6:vfg5oBbN7nFzWUXkrDeTtw==
iTCM personal dataset2 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Tabular Data - 34.9 KB - 15 Variables, 341 Observations - UNF:6:9tLbYHtqIxpqDC3swO5klw==
iTCM personal dataset3 used in Buildsys 2019 paper. It does not contain the "hot (+3)" votes. |
Apr 6, 2020 - Teerawat Piriyatharawet
Piriyatharawet, Teerawat, 2020, "Thermal Image Guided Upsampling", https://doi.org/10.21979/N9/9JG8D3, DR-NTU (Data), V1, UNF:6:IuGM51Q8N4QLGePoc6I4EA== [fileUNF]
A low-resolution thermal imaging sensor becomes more affordable and is widely used in home applications. However, in order to understand detailed activities, a high-resolution thermal image is required. In this paper, we present an unsupervised deep learning framework for joint u... |
Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 7.7 KB -
MD5: b95532745ea068a40b1242d695d92093
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Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 6.4 KB -
MD5: 9e74acf36027e7aec3d775a097aad9fe
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Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 973 B -
MD5: 9b300ce59e2376ce4d334ff6c81c5b73
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Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 4.2 KB -
MD5: 75168a4a7a38d05b72ead47d6507a223
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Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 7.2 KB -
MD5: a23364b8e85675c094d5716b4cfaaa65
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Apr 6, 2020 -
Thermal Image Guided Upsampling
Python Source Code - 827 B -
MD5: 9fdbf6ba9561025c39f6486e81394f14
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