Jayeon Yoo

According to our database, Jayeon Yoo authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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, Nojun Kwak

CoRR, 2024

Mitigating the Bias in the Model for Continual Test-Time Adaptation.

Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak

CoRR, 2024

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection.

Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

What, How, and When Should Object Detectors Update in Continually Changing Test Domains?

Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak

CoRR, 2023

Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation.

Inseop Chung, Jayeon Yoo, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning.

Junhoo Lee, Jayeon Yoo, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box.

Jayeon Yoo, Inseop Chung, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Adaptive Template and Transition Map for Real-Time Video Object Segmentation.

Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak

IEEE Access, 2021

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation.

Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021