Sunghwan Joo

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Multiplicative Noise

Power Transformers

Top Venues

Publications

Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
SwiFT: Swin 4D fMRI Transformer. CoRR (2023)
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
SwiFT: Swin 4D fMRI Transformer. NeurIPS (2023)
Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
Towards More Robust Interpretation via Local Gradient Alignment. AAAI (2023)
Sumin Lee, Ki-Beom Lee, Sunghwan Joo, Hong Keun Ahn, Junghyup Lee, Dohyung Kim, Bumsub Ham, Seong-Ook Jung
CNN Accelerator with Spatially Independent Fusion for Real-Time UHD Super-Resolution. ESSCIRC (2022)
Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
Towards More Robust Interpretation via Local Gradient Alignment. CoRR (2022)
Ki Beom Lee, Sumin Lee, Sunghwan Joo, Hong Keun Ahn, Young Seok Jung, Seong-Ook Jung
CNN encryption using XOR Gate for Hardware Optimization. ISOCC (2021)
Sunghwan Joo, Sungmin Cha, Taesup Moon
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. AAAI (2019)
Juyeon Heo, Sunghwan Joo, Taesup Moon
Fooling Neural Network Interpretations via Adversarial Model Manipulation. NeurIPS (2019)
Sunghwan Joo, Sungmin Cha, Taesup Moon
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. CoRR (2019)
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
Subtask Gated Networks for Non-Intrusive Load Monitoring. AAAI (2019)
Juyeon Heo, Sunghwan Joo, Taesup Moon
Fooling Neural Network Interpretations via Adversarial Model Manipulation. CoRR (2019)
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
Subtask Gated Networks for Non-Intrusive Load Monitoring. CoRR (2018)