Beomyoung Kim

AI Research Engineer

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About Me

Deep Learning, Computer Vision, Object Detection, Image Segmentation






CLOVA VISION - Image Vision

AI Research Engineer at Naver Clova Vision Image-Vision team.



Internship at Naver Clova Visual AI FACE team.

Hyundai Mobis

Autonomous Driving Advanced Development Team (자율주행선행개발팀)

Internship at Hyundai Mobis Autonomous Driving Advanced Development Team.



Internship at Naver Clova Vision OCR team.

Military Service


Korea Advanced Institute of Science and Technology (KAIST)

September 2022 - Current

Ph.D student, Kim Jaechul Graduate School of AI

Korea Advanced Institute of Science and Technology (KAIST)

March 2019 - February 2021

Master Degree, Electrical Engineering, Division of Future Vehicle

Inha University

March 2013 - February 2019

Bachelor Degree, Information and Communication Engineering

Inha University, Information and Communication Engineering, Bachelor Degree.


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

CVPR 2023 [paper] [code]

EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo

Arxiv 2022 [paper] [code]

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim

CVPR 2022 [paper] [code]

Learning Features with Parameter-Free Layers

Dongyoon Han, Youngjoon Yoo, Beomyoung Kim, Byeongho Heo

ICLR 2022 [paper] [code]

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, and Junmo Kim

WACV 2022 [paper] [code]

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

Sungmin Cha*, Beomyoung Kim*, Youngjoon Yoo, and Taesup Moon (* equal contribution)

NeurIPS 2021 [paper] [code]

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

Beomyoung Kim, Sangeun Han, and Junmo Kim

AAAI 2021 [paper] [code]

3D Point Cloud Upsampling and Colorization using GAN

Beomyoung Kim, Sangeun Han, Eojindl Yi, and Junmo Kim

MIWAI 2021 [paper]

Fully automated valet parking system based on infrastructure sensing

Hyunjee Ryu, Beomyoung Kim, Heecheol Yoo, and Jungwon Lee

RiTA 2020 [paper]


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