Beomyoung Kim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Semantic Segmentation

Top Venues

Publications

Beomyoung Kim, Donghyun Kim, Sung Ju Hwang
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR (2024)
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV (2024)
Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR (2024)
Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR (2024)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR (2023)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR (2023)
Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo
Learning Features with Parameter-Free Layers. CoRR (2022)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CVPR (2022)
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR (2022)
Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo
Learning Features with Parameter-Free Layers. ICLR (2022)
Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV (2022)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS (2021)
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. CoRR (2021)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR (2021)
Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR (2021)
Beomyoung Kim, Sangeun Han, Junmo Kim
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI (2021)
Beomyoung Kim, Sangeun Han, Junmo Kim
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR (2021)
Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI (2021)
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
Revisit Prediction by Deep Survival Analysis. PAKDD (2) (2020)