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ORCIDJinwoo Kim 0005
Person information
- affiliation: Yonsei University, Electrical and Electronics Engineering Department, Seoul, South Korea
- not to be confused with: Jinwoo Kim 0001
Other persons with the same name
- Jinwoo Kim (aka: Jin-Woo Kim) — disambiguation page
- Jinwoo Kim 0001
![[0000-0002-0162-5446]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0162-5446")
— Yonsei University, School of Business, Seoul, South Korea (and 1 more) - Jinwoo Kim 0002 — Arizona University, Tucson, AZ, USA
- Jinwoo Kim 0003 — Seoul National University, Department of Economics, South Korea
- Jin-Woo Kim 0002 (aka: Jinwoo Kim 0004) — Southern Methodist University, Department of Earth Sciences, Dallas, TX, USA (and 1 more)
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2020 – today
- 2024
[j7]Taewan Kim, Jinwoo Kim, Heeseok Oh, Jiwoo Kang:
Deep Transformer Based Video Inpainting Using Fast Fourier Tokenization. IEEE Access 12: 21723-21736 (2024)- 2023
- [j6]Jinwoo Kim, Beom Kwon, Jongyoo Kim, Sanghoon Lee:
MNET++: Music-Driven Pluralistic Dancing Toward Multiple Dance Genre Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15036-15050 (2023) - [j5]Jinwoo Kim, Woojae Kim, Heeseok Oh, Sanghoon Lee:
Progressive Contextual Aggregation Empowered by Pixel-Wise Confidence Scoring for Image Inpainting. IEEE Trans. Image Process. 32: 1200-1214 (2023) - 2022
- [j4]Heeseok Oh, Jinwoo Kim, Taewan Kim, Sanghoon Lee:
Convolved Quality Transformer: Image Quality Assessment via Long-Range Interaction Between Local Perception. IEEE Access 10: 102968-102980 (2022) - [j3]Jinwoo Kim, Heeseok Oh, Woojae Kim, Seonghwa Choi, Wookho Son, Sanghoon Lee:
A Deep Motion Sickness Predictor Induced by Visual Stimuli in Virtual Reality. IEEE Trans. Neural Networks Learn. Syst. 33(2): 554-566 (2022) - [c10]Jinwoo Kim, Heeseok Oh, Seongjean Kim, Hoseok Tong, Sanghoon Lee:
A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres. CVPR 2022: 3480-3490 - 2021
- [j2]Woojae Kim, Anh-Duc Nguyen, Jinwoo Kim, Jongyoo Kim, Heeseok Oh, Sanghoon Lee:
Diverse and Adjustable Versatile Image Enhancer. IEEE Access 9: 80883-80896 (2021) - [c9]Jeonghaeng Lee, Woojae Kim, Jinwoo Kim, Sanghoon Lee:
A Study on Virtual Reality Sickness and Visual Attention. APSIPA ASC 2021: 1465-1469 - [c8]Seongjean Kim, Jinwoo Kim, Sanghoon Lee:
Quality of Interaction Arising from Augmented Reality Content: A Comprehensive Study. APSIPA ASC 2021: 1470-1474
2010 – 2019
- 2019
- [c7]Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee:
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. ICCV 2019: 10579-10588 - [c6]Jinwoo Kim, Sewoong Ahn, Heeseok Oh, Sanghoon Lee:
CNN-Based Blind Quality Prediction On Stereoscopic Images Via Patch To Image Feature Pooling. ICIP 2019: 1745-1749 - [c5]Seonghwa Choi, Anh-Duc Nguyen, Jinwoo Kim, Sewoong Ahn, Sanghoon Lee:
Point Cloud Deformation for Single Image 3d Reconstruction. ICIP 2019: 2379-2383 - [c4]Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sewoong Ahn, Jinwoo Kim, Sanghoon Lee:
Distribution Padding in Convolutional Neural Networks. ICIP 2019: 4275-4279 - 2018
- [c3]Woojae Kim, Jongyoo Kim, Sewoong Ahn, Jinwoo Kim, Sanghoon Lee:
Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network. ECCV (1) 2018: 224-241 - [c2]Sewoong Ahn, Woojae Kim, Jinwoo Kim, Jaekyung Kim, Sanghoon Lee:
Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. ICIP 2018: 3548-3552 - [c1]Jaekyung Kim, Woojae Kim, Sewoong Ahn, Jinwoo Kim, Sanghoon Lee:
Virtual Reality Sickness Predictor: Analysis of visual-vestibular conflict and VR contents. QoMEX 2018: 1-6 - 2017
- [j1]Heeseok Oh, Jongyoo Kim, Jinwoo Kim, Taewan Kim, Sanghoon Lee, Alan Conrad Bovik:
Enhancement of Visual Comfort and Sense of Presence on Stereoscopic 3D Images. IEEE Trans. Image Process. 26(8): 3789-3801 (2017)
Coauthor Index
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