Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network. - Dokwan Oh; Daehyun Ji; Cheolhun Jang; Yoonsuk Hyun; Hong S. Bae; Sung Ju Hwang (ICRA, 2020)

Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly. - Hee Min Choi; Hyoa Kang; Dokwan Oh (NeurIPS, 2021)

How to handle noisy labels for robust learning from uncertainty. - Daehyun Ji; Dokwan Oh; Yoonsuk Hyun; Oh-Min Kwon 001; Myeong-Jin Park (Neural Networks, 2021)

SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information. - Dasol Han; Jaewook Yoo; Dokwan Oh (CVPR, 2022)

DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation. - Sujin Jang; Joohan Na; Dokwan Oh (NeurIPS, 2022)

Boosting Out-of-Distribution Image Detection With Epistemic Uncertainty. - Dokwan Oh; Daehyun Ji; Oh-Min Kwon 001; Yoonsuk Hyun (IEEE Access, 2022)

D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty. - Nayeon Kim 006; Moonsub Byeon; Daehyun Ji; Dokwan Oh (ICASSP, 2023)

Is Overfitting Necessary for Implicit Video Representation? - Hee Min Choi; Hyoa Kang; Dokwan Oh (ICML, 2023)

Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding. - Yeongwoong Kim; Suyong Bahk; Seungeon Kim; Won Hee Lee; Dokwan Oh; Hui Yong Kim (CoRR, 2023)

Efficient Neural Video Representation with Temporally Coherent Modulation. - Seungjun Shin; Suji Kim; Dokwan Oh (ECCV (74), 2024)

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. - Hagyeong Lee; Minkyu Kim 004; Jun-Hyuk Kim; Seungeon Kim; Dokwan Oh; Jaeho Lee 001 (ICML, 2024)

Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec. - Jun-Hyuk Kim; Seungeon Kim; Won-Hee Lee; Dokwan Oh (NeurIPS, 2024)

House of Cards: Massive Weights in LLMs. - Jaehoon Oh; Seungjun Shin; Dokwan Oh (CoRR, 2024)

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference. - Seungjun Shin; Jaehoon Oh; Dokwan Oh (CoRR, 2025)