Category / Conference

AnomiGAN: Generative adversarial networks for anonymizing private medical data

Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), vol. 25, pp. 563-574, Hawaii, USA, January 2020.
paper  link  arXiv

03 January 2020
Conference, Sungroh Yoon

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data

Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, USA, November 2019.
preprint  link

18 November 2019
Conference, 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

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

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

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), Las Vegas, USA, June 2019.
paper  link  arXiv

02 June 2019
Conference, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

Real-Time Anomalous Branch Behavior Detection with a GPU-Inspired Engine for Machine Learning Models

Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
preprint  link

01 March 2019
Conference, Sungroh Yoon

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA

Seongsik Park, Jahee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
paper  link  arXiv  code

01 March 2019
Conference, Sungroh Yoon

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