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Dokwan Oh
Observed names:
Do-Kwan Oh,
Oh, Dokwan
Observed institutions:
Korea Advanced Institute of Science and Technology,
Samsung (South Korea),
Samsung Advanced Institute of Technology (South Korea),
Samsung Electronics (South Korea)
ORCID:
0000-0001-9139-8699
Observed ORCID:
0000-0001-9139-8699
OpenAlex ID:
A5016313614
How to handle noisy labels for robust learning from uncertainty
2021
·
Daehyun Ji
, Dokwan Oh
, et al.
·
Neural Networks
·
19
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network
2020
·
Dokwan Oh
, Daehyun Ji
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
9
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
2021
·
Hee Min Choi
, Hyoa Kang
, et al.
·
neural information processing systems
·
7
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
2022
·
Dasol Han
, Jaewook Yoo
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
6
D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty
2023
·
Nayeon Kim
, Moonsub Byeon
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
4
Boosting Out-of-Distribution Image Detection With Epistemic Uncertainty
2022
·
Dokwan Oh
, Daehyun Ji
, et al.
·
IEEE Access
·
3
PDF
Efficient Neural Video Representation with Temporally Coherent Modulation
2024
·
Seungjun Shin
, Suji Kim
, et al.
·
Lecture notes in computer science
·
2
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
2024
·
Lee, Hagyeong
, Kim, Minkyu
, et al.
·
arXiv (Cornell University)
·
2
PDF
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
2024
·
Jun-Hyuk Kim
, Seungeon Kim
, et al.
·
neural information processing systems
·
2
PDF
Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure
2011
·
Do-Kwan Oh
, Sang-Hoon Oh
, et al.
·
IEEE Signal Processing Letters
·
2
Filterbank-based Blind Signal Separation with Estimated Sound Direction
2005
·
Hyung-Min Park
, C.S. Dhir
, et al.
·
IEEE International Symposium on Circuits and Systems proceedings
·
2
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
2025
·
Hee Min Choi
, Hyoa Kang
, et al.
·
neural information processing systems
·
1
DaDA: Distortion-Aware Domain Adaptation for Unsupervised Semantic Segmentation
2022
·
Sujin Jang
, Joohan Na
, et al.
·
neural information processing systems
·
1
House of Cards: Massive Weights in LLMs
2024
·
Oh, Jaehoon
, Shin, Seungjun
, et al.
·
arXiv (Cornell University)
PDF
Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding
2023
·
Kim, Yeongwoong
, Bahk, Suyong
, et al.
·
arXiv (Cornell University)
PDF
Learning one-to-many mapping functions for audio-visual integrated perception
2010
·
Jung-Hui Lim
, Do-Kwan Oh
, et al.
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
청각 이미지 모델 기반의 잡음에 강인한 음성 특징 추출 = Noise-robust feature extraction for speech recognition based on auditory image model
2004
·
오도관
, Dokwan Oh
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Works count:
17
Citation count:
60
H-index:
4
I10-index:
1
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