Youngtaek Oh

According to our database, Youngtaek Oh authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 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

CoRR, 2024

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality.

Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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., December, 2023

Empirical study on using adapters for debiased Visual Question Answering.

Jae-Won Cho, Dawit Mureja Argaw, Youngtaek Oh, Dong-Jin Kim, In So Kweon

Comput. Vis. Image Underst., December, 2023

Self-Sufficient Framework for Continuous Sign Language Recognition.

Youngjoon Jang, Youngtaek Oh, Jae-Won Cho, Myungchul Kim, Dong-Jin Kim, In So Kweon, Joon Son Chung

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.

Youngtaek Oh, Dong-Jin Kim, In So Kweon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition.

Youngjoon Jang, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.

Youngtaek Oh, Dong-Jin Kim, In So Kweon

CoRR, 2021

Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow.

Sungju Ryu, Youngtaek Oh, Jae-Joon Kim

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 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

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching.

Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020