Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders. - Jaeyoung Yoo; Hojun Lee 002; Nojun Kwak (CoRR, 2019)

Unpriortized Autoencoder For Image Generation. - Jaeyoung Yoo; Hojun Lee 002; Nojun Kwak (ICIP, 2020)

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. - Jaeyoung Yoo; Hojun Lee 002; Inseop Chung; Geonseok Seo; Nojun Kwak (ICCV, 2021)

Few-Shot Object Detection by Attending to Per-Sample-Prototype. - Hojun Lee 002; Myunggi Lee; Nojun Kwak (WACV, 2022)

Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching. - Jaeyoung Yoo; Hojun Lee 002; Seunghyeon Seo; Inseop Chung; Nojun Kwak (CoRR, 2022)

End-to-End Multi-Object Detection with a Regularized Mixture Model. - Jaeyoung Yoo; Hojun Lee 002; Seunghyeon Seo; Inseop Chung; Nojun Kwak (ICML, 2023)

Coreset Selection for Object Detection. - Hojun Lee 002; Suyoung Kim; Junhoo Lee; Jaeyoung Yoo; Nojun Kwak (CVPR Workshops, 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)