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Beomyoung Kim

AI Research Engineer

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About Me

Deep Learning, Computer Vision, Object Detection, Image Segmentation

[qjadud1994@gmail.com]

[github.com/qjadud1994]

[linkedin.com/in/beomyoung-kim/]

Experience

NAVER

CLOVA VISION - Image Vision

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

NAVER

CLOVA VISUAL AI - FACE

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.

NAVER

CLOVA VISION - OCR

Internship at Naver Clova Vision OCR team.

Military Service

Education

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.

Publication

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]

Skills

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