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U-Ju Gim

UJu Gim

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Conference and Workshop Papers

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2023
[c5]
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  - conf/ictc/ParkGK23
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YeongHyeon Park, UJu Gim, Myung Jin Kim:
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection. ICTC 2023: 833-837
[c4]
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U-Ju Gim:
Road Condition Anomaly Detection using Self-Supervised Learning from Audio. ITSC 2023: 675-680
2020
[c3]
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  - conf/aaai/GimLK0N20
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U-Ju Gim, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, Aziz Nasridinov:
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract). AAAI 2020: 13795-13796
[c2]
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  - conf/bigcomp/LeeGKY0N20
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Jae-Jun Lee, U-Ju Gim, Jeong-Hun Kim, Kwan-Hee Yoo, Young-Ho Park, Aziz Nasridinov:
Identifying Customer Interest from Surveillance Camera Based on Deep Learning. BigComp 2020: 19-20
[c1]
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U-Ju Gim, Jeong-Hun Kim, Kwan-Hee Yoo, Aziz Nasridinov:
Motion-Attentive Network for Detecting Abnormal Situationsin Surveillance Video. SIGGRAPH Posters 2020: 47:1-47:2

Informal and Other Publications

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2023
[i2]
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  - journals/corr/abs-2307-04298
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YeongHyeon Park, UJu Gim, Myung Jin Kim:
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection. CoRR abs/2307.04298 (2023)
2022
[i1]
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  - journals/corr/abs-2201-01416
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UJu Gim, YeongHyeon Park:
Latent Vector Expansion using Autoencoder for Anomaly Detection. CoRR abs/2201.01416 (2022)

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