SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People. - Kibaek Park; Youngtaek Oh; Soomin Ham; Kyungdon Joo; Hyokyoung Kim; Hyoyoung Kum; In So Kweon (IROS, 2020)

SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. - Sungju Ryu; Youngtaek Oh; Taesu Kim; Daehyun Ahn; Jae-Joon Kim (DATE, 2021)

KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing. - Soomin Ham; Kibaek Park; Yeongjun Jang; Youngtaek Oh; Seokmin Yun; Sukwon Yoon; Changjo Kim; Han-Mu Park; In So Kweon (FG, 2021)

Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow. - Sungju Ryu; Youngtaek Oh; Jae-Joon Kim (ICCAD, 2021)

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning. - Youngtaek Oh; Dong-Jin Kim 003; In So Kweon (CoRR, 2021)

Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition. - Youngjoon Jang 001; Youngtaek Oh; Jae-Won Cho; Dong-Jin Kim 003; Joon Son Chung; In So Kweon (BMVC, 2022)

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning. - Youngtaek Oh; Dong-Jin Kim 003; In So Kweon (CVPR, 2022)

Self-Sufficient Framework for Continuous Sign Language Recognition. - Youngjoon Jang 001; Youngtaek Oh; Jae-Won Cho; Myungchul Kim 002; Dong-Jin Kim 003; In So Kweon; Joon Son Chung (ICASSP, 2023)

Empirical study on using adapters for debiased Visual Question Answering. - Jae-Won Cho; Dawit Mureja Argaw; Youngtaek Oh; Dong-Jin Kim 003; In So Kweon (Comput. Vis. Image Underst., 2023)

Binaryware: A High-Performance Digital Hardware Accelerator for Binary Neural Networks. - Sungju Ryu; Youngtaek Oh; Jae-Joon Kim (IEEE Trans. Very Large Scale Integr. Syst., 2023)

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. - Taehoon Kim; Pyunghwan Ahn; Sangyun Kim; Sihaeng Lee; Mark Marsden; Alessandra Sala; Seung Hwan Kim; Bohyung Han; Kyoung Mu Lee; Honglak Lee; Kyounghoon Bae; Xiangyu Wu; et al. (CVPR Workshops, 2024)

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality. - Youngtaek Oh; Jae-Won Cho; Dong-Jin Kim 003; In So Kweon; Junmo Kim 002 (EMNLP, 2024)

Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition. - Youngtaek Oh; Pyunghwan Ahn; Jinhyung Kim; Gwangmo Song; Soonyoung Lee; In So Kweon; Junmo Kim 002 (CoRR, 2024)

Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration. - Sungju Ryu; Jaeyong Jang; Youngtaek Oh; Jae-Joon Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Topology Optimization for Multi-Axis Additive Manufacturing Considering Overhang and Anisotropy. - Seungheon Shin; Byeonghyeon Goh; Youngtaek Oh; Hayoung Chung (CoRR, 2025)