Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Seohyeong Jeong; Ganesh Venkatesh; Nojun Kwak (CVPR, 2021)

Adaptive Template and Transition Map for Real-Time Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Ganesh Venkatesh; Nojun Kwak (IEEE Access, 2021)

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (CoRR, 2021)

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. - Jayeon Yoo; Inseop Chung; Nojun Kwak (ECCV (33), 2022)

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. - Jangho Kim; Jayeon Yoo; Yeji Song; KiYoon Yoo; Nojun Kwak (ACM Multimedia, 2023)

SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. - Junhoo Lee; Jayeon Yoo; Nojun Kwak (NeurIPS, 2023)

Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. - Inseop Chung; Jayeon Yoo; Nojun Kwak (WACV (Workshops), 2023)

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. - Joonhyun Jeong; Geondo Park; Jayeon Yoo; Hyungsik Jung; Heesu Kim (AAAI, 2024)

What, How, and When Should Object Detectors Update in Continually Changing Test Domains? - Jayeon Yoo; Dongkwan Lee; Inseop Chung; Donghyun Kim; Nojun Kwak (CVPR, 2024)

Mitigating the Bias in the Model for Continual Test-Time Adaptation. - Inseop Chung; Kyomin Hwang; Jayeon Yoo; Nojun Kwak (CoRR, 2024)

HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering. - Seunghyeon Seo; Yeonjin Chang; Jayeon Yoo; Seungwoo Lee; Hojun Lee 002; Nojun Kwak (CoRR, 2024)

ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-shot Object Rendering. - Seunghyeon Seo; Yeonjin Chang; Jayeon Yoo; Seungwoo Lee; Hojun Lee 002; Nojun Kwak (CVPR Workshops, 2025)