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Sun-Kyung Lee 0001
Person information
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea
Other persons with the same name
- Sun-Kyung Lee 0002
— Korea Research Institute of Standard and Science (KRISS), Daejeon, South Korea
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2020 – today
- 2023
- [j1]Ue-Hwan Kim
Writing in the Air: Unconstrained Text Recognition From Finger Movement Using Spatio-Temporal Convolution. IEEE Trans. Artif. Intell. 4(6): 1386-1398 (2023) - [c6]Sun-Kyung Lee, Jong-Hwan Kim:
SENER: Sentiment Element Named Entity Recognition for Aspect-Based Sentiment Analysis. ICASSP 2023: 1-5 - [c5]Sun-Kyung Lee, Jong-Hwan Kim:
Video Multimodal Emotion Recognition System for Real World Applications. INTERSPEECH 2023: 668-669 - [i4]Sun-Kyung Lee, Jong-Hwan Kim:
Video Multimodal Emotion Recognition System for Real World Applications. CoRR abs/2308.14320 (2023) - [i3]Inug Yoon, Tae-Min Choi, Sun-Kyung Lee, Young-Min Kim, Jong-Hwan Kim:
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning. CoRR abs/2309.02833 (2023) - 2021
- [c4]Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim:
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments. IROS 2021: 8578-8585 - [c3]Sun-Kyung Lee, Jong-Hwan Kim:
Air-Text: Air-Writing and Recognition System. ACM Multimedia 2021: 1267-1274 - [c2]Sun-Kyung Lee, Hyun Myung
MMH-GGCNN: Multi-Modal Hierarchical Generative Grasping Convolutional Neural Network. RiTA 2021: 422-430 - [i2]Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim:
ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments. CoRR abs/2103.05368 (2021) - [i1]Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim:
Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution. CoRR abs/2104.09021 (2021)
2010 – 2019
- 2019
- [c1]Sun-Kyung Lee, Jong-Hwan Kim:
BALD-VAE: Generative Active Learning based on the Uncertainties of Both Labeled and Unlabeled Data. RiTA 2019: 6-11
Coauthor Index
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