통계적 추론 및 정보 이론 연구실
한국과학기술원 본교(제1캠퍼스) 전기및전자공학부
김준모 교수
Adversarial Training
Depth Estimation
Adversarial Learning
발행물
전체 논문
61
1
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim
Knowledge-Based Systems, 2024
2
Towards Understanding Dual BN In Hybrid Adversarial Training
Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
Transactions on Machine Learning Research, 2024
3
ContextMix: A Context-Aware Data Augmentation Method for Industrial Visual Inspection Systems
Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim
Engineering Applications of Artificial Intelligence, 2024
4
Multi-Scale Foreground-Background Separation for Light Field Depth Estimation with Deep Convolutional Networks
Jae Young Lee, Jiwan Hur, Jaehyun Choi, Rae-Hong Park, Junmo Kim
Pattern Recognition Letters, 2023
5
Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution
Youngsoo Kim, Jeonghyo Ha, Yooshin Cho, Junmo Kim
IEEE Access, 2022
6
3D Measurement using a Single Image for Smart Manufacturing of Microscopic Products in a Ceramic Powder Pressing Process
Hyejin S. Kim, Yoonsoo Han, Junmo Kim
International Journal of Precision Engineering and Manufacturing-Green Technology, 2022
7
Projection-Based Point Convolution for Efficient Point Cloud Segmentation
Pyunghwan Ahn, Juyoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim
IEEE Access, 2022
8
Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling
Jung-Jae Yu, Jong-Gook Ko, Junmo Kim
IEEE Access, 2022
9
Extending Contrastive Learning to Unsupervised Redundancy Identification
Jeongwoo Ju, Heechul Jung, Junmo Kim
Applied Sciences, 2022
10
Extending Contrastive Learning to Unsupervised Coreset Selection
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
IEEE A, 2022