Category / Sungroh Yoon

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim,  Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper  link

07 November 2019
Journal, Sungroh Yoon, 미분류

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
paper  link  arXiv

27 October 2019
Conference, Sungroh Yoon

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in BMC Bioinformatics, vol. 20, no. 1, p. 521, October 2019.
paper link

26 October 2019
Journal, Sungroh Yoon, 미분류

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.
paper  link

07 October 2019
Journal, Sungroh Yoon, 미분류

Mutual Suppression Network for Video Prediction using Disentangled Features

Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon, in Proceedings of British Machine Vision Conference (BMVC), Cardiff, UK, September 2019.
paper  arXiv  arXiv

09 September 2019
Conference, Sungroh Yoon

PuVAE: A Variational Autoencoder to Purify Adversarial Examples

Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho, IEEE Access, vol.7, no.1, pp.125682-126593, September 2019.
paper  link  arXiv

04 September 2019
Journal, Sungroh Yoon

Pediatric Sleep Stage Classification using Multi-domain Hybrid Neural Networks

Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim, IEEE Access, vol. 7, no. 1, pp. 96495–96505, July 2019.
paper  link

11 July 2019
Journal, Sungroh Yoon

HexaGAN: Generative Adversarial Nets for Real World Classification

Uiwon Hwang, Dahuin Jung, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper  slides  link  arXiv  suppl

30 June 2019
Conference, Sungroh Yoon

FloWaveNet: A Generative Flow for Raw Audio

Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper  link  arXiv  code  demo

29 June 2019
Conference, Sungroh Yoon

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019.
paper  link   arXiv

16 June 2019
Conference, Sungroh Yoon

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