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2020 – today
- 2024
[c10]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR 2024: 3346-3356- [c9]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV 2024: 977-987 - [i10]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR abs/2403.20126 (2024) - [i9]Beomyoung Kim, Donghyun Kim, Sung Ju Hwang:
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR abs/2404.00918 (2024) - [i8]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 abs/2404.00921 (2024) - 2023
- [c8]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: 11360-11370 - [i7]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 abs/2303.15062 (2023) - 2022
- [c7]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: 4268-4277 - [c6]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. ICLR 2022 - [c5]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. WACV 2022: 3421-3430 - [i6]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. CoRR abs/2202.02777 (2022) - [i5]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR abs/2204.01209 (2022) - 2021
- [c4]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. AAAI 2021: 1754-1761 - [c3]Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim:
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI 2021: 1-13 - [c2]Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon:
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS 2021: 10919-10930 - [i4]Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. CoRR abs/2103.07246 (2021) - [i3]Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. CoRR abs/2104.11435 (2021) - [i2]Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon:
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR abs/2106.11562 (2021) - [i1]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 abs/2109.09477 (2021) - 2020
- [c1]Sundong Kim
, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee:
Revisit Prediction by Deep Survival Analysis. PAKDD (2) 2020: 514-526
Coauthor Index
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