Revision as of 09:21, 10 September 2020 by Admin
| SeongUk Park (박성욱)|
Research interests : Model Compression, Generative Adversarial Networks, Deep learning.
Mar. 2017 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
- B.S. in Electronics Engineering, SungKyunKwan University, Korea.
- International Conferences
Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "Feature-map-level Online Adversarial Knowledge Distillation", Thirty-seventh International Conference on Machine Learning (ICML2020), July 2020, Online
 SeongUk Park and Nojun Kwak, "Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks", 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago, Spain, June. 2020.
 Simyung Chang, SeongUk Park, John Yang and Nojun Kwak, "Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation, International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019.
 Jangho Kim, SeongUK Park and Nojun Kwak, "Paraphrasing Complex Network: Network Compression via Factor Transfer", Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montreal, Canada, Dec. 2018.
 Simyung Chang, John Yang, SeongUk Park and Nojun Kwak, "Broadcasting Convolutional Network for Visual Relational Reasoning", European Conference on Computer Vision (ECCV2018), Munich, Germany, Sep. 2018.
 SeongUk Park, Kiyoon Yoo and Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.
 YoungJoon Yoo, SeongUk Park, Junyoung Choi, Sangdoo Yun and Nojun Kwak, "Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation", arXiv, Nov. 2017.
- 파노라마 영상과 사각지대경보(BSD) 기능을 제공하는 카메라 기반의 측후방 통합안전지원 시스템 개발, 산업통상자원부 (2019. 3 ~ )
- 딥러닝 기반 객체 인식 기술성능 고도화, (주)삼성전자 (2017. 9 ~ 2018. 9)