Showing results 4041 to 4060 of 16138
Diagnosing Cervical Cell Images Using Pre-trained Convolutional Neural Network as Feature Extractor Hyeon, Jonghwan; Choi, Ho-Jin; Lee, Byung Doo; Lee, Kap No, 2nd Int’l Workshop on Big Data Analytics for Healthcare and Well-being (BigData4Healthcare 2017), Workshop on 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, pp.390 - 393, Institute of Electrical and Electronics Engineers Inc., 2017-02-13 |
Diagnosing Kernel Concurrency Failures with AITIA Jeong, Dar R; Jung, Minkyu; Lee, Yoochan; Lee, Byoungyoung; Shin, Insik; Kwon, Youngjin, EuroSys 2023, ACM, 2023-05-09 |
Dialogue Machine Translation Using a Dialogue Model Yun Seo Jung, Proceedings of the Korea-China Machine Translation System Workshop, 1994 |
Dialup Network Based on UUCP 전길남, Proc. of KISS, 1983 |
Diamete 가 d이고 c Vertex 연결도를 갖는 k-Regular 그래프에 관한 연구 = A study on c-connected k-Regular graphs with diameter dlink 최한영; Choi, Han-Yeong; 권용래; 좌경룡; et al, 한국과학기술원, 1987 |
DiaQwerty: QWERTY Variants to Better Utilize the Screen Area of a Round or Square Smartwatch KIM, SUNBUM; ahn, sunggeun; Lee, Geehyuk, 13th ACM International Conference on Interactive Surfaces and Spaces, ISS 2018, pp.147 - 153, Association for Computing Machinery, Inc, 2018-11-27 |
DIBR 3D Video Watermarking with Faster DT-CWT Quantization Kim, Hee-Dong; Lee, Ji-Won; Ryu, Seung-Jin; Choi, Hak-Yeol; Lee, Heung-Kyu, Int. Conf. on Signal Processing, Pattern Recognition and Applications(SPPRA’2013), pp.222 - 226, IASTED(Int. Association of Science and Technology for Development), 2013-02-12 |
DIBR 3D 영상에 대한 SIFT 특징점 기반의 블라인드 워터마킹 = A SIFT feature points based blind watermarking for DIBR 3D imageslink 남승훈; Nam, Seung hun; et al, 한국과학기술원, 2015 |
DIBR 3D 이미지 판별 장치 및 방법 이흥규; 정대진, 2015-12-02 |
DIBR 3차원 영상을 위한 템플릿 기반 워터마킹 방법 및 장치 이흥규; 김욱형; 남승훈; 강지현; 허종욱; 장한얼, 2017-09-28 |
DIBR 3차원 영상을 위한 특징점 기반 워터마킹 방법 및 장치 이흥규; 남승훈; 김욱형; 강지현; 장한얼, 2017-09-28 |
Dicing algorithm for the degeneracy problem of the sequential importance sampling in the sequential Monte Carlo Methods = 순차몬테칼로에서 순차중요표본추출의 퇴보 문제를 풀기 위한 다이싱 알고리즘link Hong, In-Pyo; 홍인표; et al, 한국과학기술원, 2010 |
DiffCSP: Finding Browser Bugs in Content Security Policy Enforcement through Differential Testing Wi, SeongIl; Son, Sooel; Nguyen, Trung Tin; Kim, Jiwhan; Stock, Ben, 30th Network & Distributed System Security Symposium (NDSS 2023), Network & Distributed System Security Symposium, 2023-02-27 |
Difference Expansion Based Reversible Data Hiding Using Two Embedding Directions Hu, Yongjian; Lee, Heung-Kyu; Chen, Kaiying; Li, Jianwei, IEEE TRANSACTIONS ON MULTIMEDIA, v.10, pp.1500 - 1512, 2008-12 |
Difference expansion based reversible watermarking for 3D mesh models = 차이 확장을 기반으로 한 3차원 메쉬 모델의 가역 워터마킹link Park, Hangyul; Choi, Sunghee; et al, 한국과학기술원, 2018 |
Differences in hippocampal surface and white matter structure in early and Late MCA: ADNI Study Lee, Peter JaeHyun; Ryoo, Ho Jin; Park, Jinah; Jeong, Yong, 34th Annual Meeting of the Korean Neurological Association, pp.181, Korean Neurological Association, 2015-11-14 |
Differentiable Algorithm for Marginalising Changepoints Lim, Hyoungjin; Che, Gwonsoo; Lee, Wonyeol; Yang, Hongseok, The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4828 - 4835, AAAI, 2020-02-10 |
Differentiable Appearance Acquisition from a Flash/No-flash RGB-D Pair Ku, Hyun Jin; Ha, Hyunho; Lee, Joo Ho; Kang, Dahyun; Tompkin, James; Kim, Min Hyuk, International Conference on Computational Photography, ICCP 2022, IEEE, 2022-08-03 |
Differentiable Diffusion for Dense Depth Estimation from Multi-view Images Khan, Numair; Kim, Min Hyuk; Tompkin, James, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.8908 - 8917, IEEE, 2021-06-23 |
Differentiable Transient Rendering![]() Yi, Shinyoung; Kim, Donggun; Choi, KiSeok; Jarabo, Adrian; Gutierrez, Diego; Kim, Min Hyuk, ACM TRANSACTIONS ON GRAPHICS, v.40, no.6, 2021-12 |
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