AI-Journal Papers(저널논문)
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1
See, caption, cluster: Large-scale image analysis using captioning and topic modeling
Kang, Kyeongpil; Jin, Kyohoon; Jang, Soojin; Choo, Jaegul; Kim, Youngbin, EXPERT SYSTEMS WITH APPLICATIONS, v.237, 2024-03
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Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
Park, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; Lee, Jeong Eun; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
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Learning Whole-body Manipulation for Quadrupedal Robot
Jeon, Seunghun; Jung, Moonkyu; Choi, Suyoung; Kim, Beomjoon; Hwangbo, JE MIN, IEEE ROBOTICS AND AUTOMATION LETTERS, v.9, no.1, pp.699 - 706, 2024-01
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C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
Kim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
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AmbiFC: Fact-Checking Ambiguous Claims with Evidence
Glockner, Max; Staliūnaitė, Ieva; Thorne, James; Vallejo, Gisela; Vlachos, Andreas; Gurevych, Iryna, TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, v.12, pp.1 - 18, 2024-01
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Improving the core resilience of real-world hypergraphs
Do, Manh Tuan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2438 - 2493, 2023-11
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Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications
Bu, Fanchen; Lee, Geon; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2389 - 2437, 2023-11
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Datasets, tasks, and training methods for large-scale hypergraph learning
Kim, Sunwoo; Lee, Dongjin; Kim, Yul; Park, Jungho; Hwang, Taeho; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2216 - 2254, 2023-11
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Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm
Bu, Fanchen; Kang, Shinhwan; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2139 - 2191, 2023-11
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Reciprocity in directed hypergraphs: measures, findings, and generators
Kim, Sunwoo; Choe, Minyoung; Yoo, Jaemin; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2330 - 2388, 2023-11
Collection's Items (Sorted by Submit Date in Descending order): 81 to 100 of 473
| Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations Shim, Hyunjung; Lee, Seungkyu, OPTICAL ENGINEERING, v.51, no.9, 2012-09 |
| Automatic color realism enhancement for computer generated images Shim, Hyunjung; Lee, Seungkyu, COMPUTERS & GRAPHICS-UK, v.36, no.8, pp.966 - 973, 2012-12 |
| Time-of-flight sensor and color camera calibration for multi-view acquisition Shim, Hyunjung; Adelsberger, Rolf; Kim, James Dokyoon; Rhee, Seon-Min; Rhee, Taehyun; Sim, Jae-Young; Gross, Markus; et al, VISUAL COMPUTER, v.28, no.12, pp.1139 - 1151, 2012-12 |
| Hybrid exposure for depth imaging of a time-of-flight depth sensor Shim, Hyunjung; Lee, Seungkyu, OPTICS EXPRESS, v.22, no.11, pp.13393 - 13402, 2014-06 |
| Skewed stereo time-of-flight camera for translucent object imaging Lee, Seungkyu; Shim, Hyunjung, IMAGE AND VISION COMPUTING, v.43, pp.27 - 38, 2015-11 |
| Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera Shim, Hyunjung; Lee, Seungkyu, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.26, no.5, pp.841 - 854, 2016-05 |
| Robust approach to reconstructing transparent objects using a time-of-flight depth camera Kim, Kyungmin; Shim, Hyunjung, OPTICS EXPRESS, v.25, no.3, pp.2666 - 2676, 2017-02 |
| Robust approach to inverse lighting using RGB-D images Choe, Junsuk; Shim, Hyunjung, INFORMATION SCIENCES, v.438, pp.73 - 94, 2018-04 |
| Semantic-aware neural style transfer Park, Joo Hyun; Park, Song; Shim, Hyunjung, IMAGE AND VISION COMPUTING, v.87, pp.13 - 23, 2019-07 |
| A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.46, no.9, pp.3906 - 3923, 2019-09 |
| A convolutional neural network-based model observer for breast CT images Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.47, no.4, pp.1619 - 1632, 2020-04 |
| Discriminator Feature-Based Inference by Recycling the Discriminator of GANs Bang, Duhyeon; Kang, Seoungyoon; Shim, Hyunjung, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.128, no.10-11, pp.2436 - 2458, 2020-11 |
| Personalized Face Modeling for Photorealistic Synthesis Kim, Kyungmin; Shim, Hyunjung, Journal of International Society for Simulation Surgery, v.2, no.2, pp.47 - 51, 2015-12 |
| Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01 |
| GridMix: Strong regularization through local context mapping Baek, Kyungjune; Bang, Duhyeon; Shim, Hyunjung, PATTERN RECOGNITION, v.109, 2021-01 |
| Weakly-supervised progressive denoising with unpaired CT images Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, MEDICAL IMAGE ANALYSIS, v.71, 2021-07 |
| Region-based dropout with attention prior for weakly supervised object localization Choe, Junsuk; Han, Dongyoon; Yun, Sangdoo; Ha, Jung-Woo; Oh, Seong Joon; Shim, Hyunjung, PATTERN RECOGNITION, v.116, 2021-08 |
| Low-dose CT denoising via convolutional neural network with an observer loss function Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.48, no.10, pp.5727 - 5742, 2021-10 |
| Distilling from professors: Enhancing the knowledge distillation of teachers Bang, Duhyeon; Lee, Jongwuk; Shim, Hyunjung, INFORMATION SCIENCES, v.576, pp.743 - 755, 2021-10 |
| Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation Choe, Junsuk; Lee, Seungho; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.12, pp.4256 - 4271, 2021-12 |
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Type
- 473 Article
Open Access
- 36 OA Article
Date issued
- 178 2020 - 2024
- 234 2010 - 2019
- 50 2000 - 2009
- 11 1992 - 1999