Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Seunghun Moon
Observed name:
Moon, Seunghun
Institution:
Sogang University
Observed institution:
Sogang University
ORCID:
0009-0006-7209-4087
Observed ORCID:
0009-0006-7209-4087
OpenAlex ID:
A5101274742
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation
2024
·
Beoungwoo Kang
, Seunghun Moon
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
43
PDF
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation
2024
·
Hyunwoo Yu
, Yubin Cho
, et al.
·
Lecture notes in computer science
·
24
PDF
Energy-based Out-of-distribution Detection Network and Diffusion Model-based Dataset for Soiling Detection in Rear Camera Scenes of Autonomous Vehicles
2023
·
Seunghun Moon
, Jeon Chang-Ryeol
, et al.
·
Journal of the Institute of Electronics and Information Engineers
·
1
Real-time Detection of Specific Events: A Case Study of Detecting Falls
2023
·
Seunghun Moon
, Changhee Yang
, et al.
·
IEIE Transactions on Smart Processing and Computing
·
1
OpenAttention: One Percent Is Enough with Tail Proxies
2026
·
Yu, Hyunwoo
, Lee, Jongbeom
, et al.
·
arXiv (Cornell University)
PDF
Infrared Monocular Depth Estimation via Parameter-Efficient Adaptation
2026
·
Jaehyun Pyun
, Seunghun Moon
, et al.
·
International Conference on Electronics, Information, and Communication (ICEIC)
Deep Learning-Based Real-Time Driver’s Hands-On Detection: A Lightweight Time Series Approach Using CAN Data
2026
·
Hyunwoo Yu
, Seunghun Moon
, et al.
·
IEEE Access
DGTFNet: Depth-Guided Tri-Axial Fusion Network for Efficient Generalizable Stereo Matching
2025
·
Seunghun Moon
, Haeuk Lee
, et al.
·
IEEE Robotics and Automation Letters
CNN-Based Encoder and Transformer-Based Decoder for Efficient Semantic Segmentation
2024
·
Seunghun Moon
, Suk-ju Kang
·
International Conference on Electronics, Information, and Communication (ICEIC)
Show more works
View as search
Works count:
9
Citation count:
69
H-index:
2
I10-index:
2
Year
Topic
Type