Dokwan Oh

20 papers A* 8Misc 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Beyond Fixed-Length Calibration for Post-Training Compression of LLMs.
EMNLP (Findings)
Jaehoon Oh, Dokwan Oh
2025 J jnl
Efficient Neural Video Representation with Temporally Coherent Modulation.
CoRR
Seungjun Shin, Suji Kim, Dokwan Oh
2025 J jnl
Neural Weight Compression for Language Models.
CoRR
Jegwang Ryu, Minkyu Kim, Seungjun Shin, Hee Min Choi, Dokwan Oh, Jaeho Lee
2025 A* conf
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference.
ICML
Seungjun Shin, Jaehoon Oh, Dokwan Oh
2025 J jnl
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference.
CoRR
Seungjun Shin, Jaehoon Oh, Dokwan Oh
2024 A* conf
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec.
NeurIPS
Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
2024 J jnl
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec.
CoRR
Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
2024 — conf
Efficient Neural Video Representation with Temporally Coherent Modulation.
ECCV (74)
Seungjun Shin, Suji Kim, Dokwan Oh
2024 J jnl
House of Cards: Massive Weights in LLMs.
CoRR
Jaehoon Oh, Seungjun Shin, Dokwan Oh
2024 A* conf
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity.
ICML
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2024 J jnl
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity.
CoRR
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee
2023 Misc conf
D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty.
ICASSP
Nayeon Kim, Moonsub Byeon, Daehyun Ji, Dokwan Oh
2023 A* conf
Is Overfitting Necessary for Implicit Video Representation?
ICML
Hee Min Choi, Hyoa Kang, Dokwan Oh
2023 J jnl
Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding.
CoRR
Yeongwoong Kim, Suyong Bahk, Seungeon Kim, Won Hee Lee, Dokwan Oh, Hui Yong Kim
2022 J jnl
Boosting Out-of-Distribution Image Detection With Epistemic Uncertainty.
IEEE Access
Dokwan Oh, Daehyun Ji, Oh-Min Kwon, Yoonsuk Hyun
2022 A* conf
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation.
NeurIPS
Sujin Jang, Joohan Na, Dokwan Oh
2022 A* conf
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information.
CVPR
Dasol Han, Jaewook Yoo, Dokwan Oh
2021 J jnl
How to handle noisy labels for robust learning from uncertainty.
Neural Networks
Daehyun Ji, Dokwan Oh, Yoonsuk Hyun, Oh-Min Kwon, Myeong-Jin Park
2021 A* conf
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly.
NeurIPS
Hee Min Choi, Hyoa Kang, Dokwan Oh
2020 A* conf
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network.
ICRA
Dokwan Oh, Daehyun Ji, Cheolhun Jang, Yoonsuk Hyun, Hong S. Bae, Sung Ju Hwang