Category / Conference

Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks

Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint  link

20 July 2020
Conference, Sungroh Yoon

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2020.
preprint  link

19 July 2020
Conference, Sungroh Yoon

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation, pp. 272-281, Seattle, USA, June 2020.
paper  slides  link  arXiv  suppl

16 June 2020
Conference, Sungroh Yoon

Automated facies identification using unsupervised clustering

Youngjun Hong, Shinjo Wang, Jeehoon Bae, Jaeyoon Yoo, Sungroh Yoon, Offshore Technology Conference (OTC), Houston, USA, May 2020.
paper  link

04 May 2020
Conference, Sungroh Yoon

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Seongsik Park, Jongwan Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), pp. 858-863, Grenoble, France, March 2020.
paper  link

09 March 2020
Conference, Sungroh Yoon

Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection

Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 7, pp. 11270-11277, New York, USA, February 2020.
paper  link  arXiv

10 February 2020
Conference, Sungroh Yoon

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

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