Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Heesung Kwon"'
Autor:
Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo
Publikováno v:
IEEE Access, Vol 11, Pp 80958-80972 (2023)
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects. In addition, existing UAV-based benchmark datasets do n
Externí odkaz:
https://doaj.org/article/26f6b501c3a74f4db92f18ab92d00b23
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9504-9517 (2021)
Pixel-wise classification in remote sensing identifies entities in large-scale satellite-based images at the pixel level. Few fully annotated large-scale datasets for pixel-wise classification exist due to the challenges of annotating individual pixe
Externí odkaz:
https://doaj.org/article/e2c7ca2cad754453a3fab1dcb528948e
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2013 (2013)
Externí odkaz:
https://doaj.org/article/512c1ad9d60b4a37b2e606b78638f9a3
Autor:
Nasser M. Nasrabadi, Heesung Kwon
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Several linear and nonlinear detection algorithms that are based on spectral matched (subspace) filters are compared. Nonlinear (kernel) versions of these spectral matched detectors are also given and their performance is compared with linear version
Externí odkaz:
https://doaj.org/article/6765a24250554995aab05a0a3cfca0ee
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc2ceb70f2ef3a73d14633dbc2720919
https://doi.org/10.1109/ieeeconf56349.2022.10051958
https://doi.org/10.1109/ieeeconf56349.2022.10051958
Publikováno v:
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec44007d9865bcd13501e9e8cab2f921
https://doi.org/10.1109/aipr57179.2022.10092234
https://doi.org/10.1109/aipr57179.2022.10092234
Autor:
Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D Thielke, John G Rogers, Andre V Harrison, John A D’Agostino, James D Brown, Long P Quang, James R Uplinger, Heesung Kwon, Zhangyang Wang
Imagery collected from outdoor visual environments is often degraded due to the presence of dense smoke or haze. A key challenge for research in scene understanding in these degraded visual environments (DVE) is the lack of representative benchmark d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ccc5261f85004a5191fee720c796f31
http://arxiv.org/abs/2206.06427
http://arxiv.org/abs/2206.06427
Autor:
Yaesop Lee, Eung-Joo Lee, Damon M. Conover, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya, Jason Hill, Kenneth Evensen, Jeremy Leong
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c36e822945758203e53e08ca6b8f8bf
https://doi.org/10.1117/12.2618636
https://doi.org/10.1117/12.2618636
Publikováno v:
Real-Time Image Processing and Deep Learning 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0836fe2f69d01e06087779254d73678b
https://doi.org/10.1117/12.2618342
https://doi.org/10.1117/12.2618342
Autor:
Hyungtae Lee, Heesung Kwon
Recently, self-supervised learning has attracted attention due to its remarkable ability to acquire meaningful representations for classification tasks without using semantic labels. This paper introduces a self-supervised learning framework suitable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f054583b01e9875e2edda7eebee28a4
http://arxiv.org/abs/2202.03968
http://arxiv.org/abs/2202.03968