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Timothy Woinoski

Timothy J. Woinoski

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Conference and Workshop Papers

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2024
[c4]
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  dblp key:
  - conf/ictc/KimWBL24
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  - https://dblp.org/rec/conf/ictc/KimWBL24
ChoHee Kim, Timothy Woinoski, Ivan V. Bajic, Seong-Won Lee:
Attention Network Analysis for Image Feature Matching. ICTC 2024: 2197-2201
2023
[c3]
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  - conf/icmcs/LeeWB23
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Choongseop Lee, Timothy Woinoski, Ivan V. Bajic:
Decomposed Key-Point Detector for Swimming Pool Localization. ICME Workshops 2023: 248-253
2022
[c2]
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  - conf/mm/WoinoskiB22
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Timothy Woinoski, Ivan V. Bajic:
Towards Automated Key-Point Detection in Images with Partial Pool View. MMSports@MM 2022: 9-17
2021
[c1]
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Timothy Woinoski, Ivan V. Bajic:
Swimmer Stroke Rate Estimation from Overhead Race Video. ICME Workshops 2021: 1-6

Informal and Other Publications

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2022
[i3]
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  - journals/corr/abs-2208-05641
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Timothy J. Woinoski, Ivan V. Bajic:
Towards Automated Key-Point Detection in Images with Partial Pool View. CoRR abs/2208.05641 (2022)
2021
[i2]
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  - journals/corr/abs-2104-12056
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Timothy Woinoski, Ivan V. Bajic:
Swimmer Stroke Rate Estimation From Overhead Race Video. CoRR abs/2104.12056 (2021)
2020
[i1]
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  - journals/corr/abs-2001-04433
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Timothy Woinoski, Alon Harell, Ivan V. Bajic:
Towards Automated Swimming Analytics Using Deep Neural Networks. CoRR abs/2001.04433 (2020)

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