Jayeon Yoo - RankMe

19 papers A* 5Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-shot Object Rendering. CVPR Workshops Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak
2025	J	`jnl`	Mitigating the Bias in the Model for Continual Test-Time Adaptation. IEEE Access Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak
2024	J	`jnl`	HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering. CoRR Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak
2024	J	`jnl`	Mitigating the Bias in the Model for Continual Test-Time Adaptation. CoRR Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak
2024	A*	`conf`	ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. AAAI Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
2024	A*	`conf`	What, How, and When Should Object Detectors Update in Continually Changing Test Domains? CVPR Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak
2023	—	`conf`	Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. WACV (Workshops) Inseop Chung, Jayeon Yoo, Nojun Kwak
2023	A*	`conf`	Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2023	J	`jnl`	ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
2023	A*	`conf`	SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. NeurIPS JunHoo Lee, Jayeon Yoo, Nojun Kwak
2023	J	`jnl`	SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. CoRR JunHoo Lee, Jayeon Yoo, Nojun Kwak
2023	J	`jnl`	What, How, and When Should Object Detectors Update in Continually Changing Test Domains? CoRR Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak
2022	—	`conf`	Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. ECCV (33) Jayeon Yoo, Inseop Chung, Nojun Kwak
2022	J	`jnl`	Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box. CoRR Jayeon Yoo, Inseop Chung, Nojun Kwak
2021	J	`jnl`	Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak
2021	J	`jnl`	Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
2021	J	`jnl`	Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. CoRR Inseop Chung, Jayeon Yoo, Nojun Kwak
2021	A*	`conf`	Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
2020	J	`jnl`	Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak