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2020 – today
- 2023
[j2]Hee-Mun Park
, Mi Jang, Yong-Jae Kim, Hyun-Joo Jung, Kyung-Min Seo:
Design and Implementation of Data-Based Validation and Evaluation System for Combat System Engineering. IEEE Access 11: 80137-80150 (2023)- 2020
- [c4]Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. AAAI 2020: 4452-4459
2010 – 2019
- 2019
- [c3]Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-Wise Learnability across Deep Neural Network Models. AAAI 2019: 9961-9962 - [i3]Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-wise Learnability Across Deep Neural Network Models. CoRR abs/1901.02347 (2019) - [i2]Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe:
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning. CoRR abs/1901.02757 (2019) - [i1]Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Differentiable Pruning Method for Neural Networks. CoRR abs/1904.10921 (2019) - 2018
- [c2]Hyun-Joo Jung, Ki-Sang Hong:
Versatile Model for Activity Recognition: Sequencelet Corpus Model. FG 2018: 325-332 - 2017
- [j1]Hyun-Joo Jung, Ki-Sang Hong:
Modeling temporal structure of complex actions using Bag-of-Sequencelets. Pattern Recognit. Lett. 85: 21-28 (2017) - 2014
- [c1]Hyun-Joo Jung, Ki-Sang Hong:
Enhanced Sequence Matching for Action Recognition from 3D Skeletal Data. ACCV (5) 2014: 226-240
Coauthor Index
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