| 2025 | ICCV | ZIM: Zero-Shot Image Matting for Anything. | Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu |
| 2024 | CVPR | ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. | Beomyoung Kim, Joonsang Yu, Sung Ju Hwang |
| 2024 | WACV | EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. | Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo |
| 2023 | CVPR | The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. | Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang |
| 2022 | CVPR | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. | Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim |
| 2022 | ICLR | Learning Features with Parameter-Free Layers. | Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo |
| 2022 | WACV | TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. | Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim |
| 2021 | AAAI | Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. | Beomyoung Kim, Sangeun Han, Junmo Kim |
| 2020 | PAKDD | Revisit Prediction by Deep Survival Analysis. | Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee |