Seunghyeon Seo

According to our database, Seunghyeon Seo authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Unleash the Potential of CLIP for Video Highlight Detection.

Donghoon Han, Seunghyeon Seo, Eunhwan Park, Seong-Uk Nam, 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, Nojun Kwak

CoRR, 2024

Fast Sun-aligned Outdoor Scene Relighting based on TensoRF.

Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

ConcatPlexer: Additional Dim1 Batching for Faster ViTs.

Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak

CoRR, 2023

MDPose: real-time multi-person pose estimation via mixture density model.

Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak

Proceedings of the Uncertainty in Artificial Intelligence, 2023

End-to-End Multi-Object Detection with a Regularized Mixture Model.

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak

Proceedings of the International Conference on Machine Learning, 2023

FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis.

Seunghyeon Seo, Yeonjin Chang, Nojun Kwak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs.

Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching.

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak

CoRR, 2022

MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection.

Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak

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