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AI Researcher at UNIST AIGS
Junsu Kim

Junsu Kim

I am a Combined MS/PhD student at UNIST AIGS, advised by Prof. Seungryul Baek. I received my B.S. in Information and Communications Engineering from Pukyong National University, where I worked with Prof. Hoon Lee on deep learning–based autonomous driving and edge AI for swarm vehicles. At UNIST, I work on continual learning for object detection, few-shot class-incremental learning with diffusion models, benchmark reliability, and 3D Gaussian Splatting. As a research intern at NAVER AI Lab (Backbone Research Team), I studied backbone architectures and the internal representations of large-scale models with Dongyoon Han. I also served as an NVIDIA AI Ambassador from 2022 to 2025. I am currently based at UNIST’s AI campus in Busan and am actively looking for research internships.

Research Interests

I am interested in 2D/3D representation learning, vision foundation models, and AI agents.

Junsu Kim smiling by the river with a city skyline at night
t=480
click to denoise

Publications

174+ Total Citations

Showing 9 papers (+6 domestic)

HumanSkill-4D pipeline figure
ArXiv 2026
HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time
J. Kim, N. Kim, D. Han, S. Baek
BeeHunters tiny pollinator detection figure
ECCV 2026 Challenge · Technical Report
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer
J. Kim, S. Baek
B-RIGHT figure
BMVC 2025
B-RIGHT: Benchmark Re-evaluation for Integrity in Generalized Human-Object Interaction Testing
J. Kim*, Y. Jang*, H. Kim, E. Lee, E. Kim, S. Baek, J. Yoo
FSCIL Synthetic figure
ICCV-W 2025 4 citations
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning
J. Kim, Y. Ku, S. Baek
RPE figure
ICCV-W 2025
Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark
J. Kim, N. Kim, J. Lee, I. Park, D. Han, S. Baek
Diffusion FSCIL figure
ArXiv 2025 1 citation
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
J. Kim, Y. Ku, D. Han, S. Baek
SDDGR figure
CVPR Highlight · Top 2.8%
CVPR 2024 · Highlight 106 citations
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
J. Kim, H. Cho, J. Kim, Y. Tiruneh, S. Baek
VLM-PL figure
CVPR-W 2024 58 citations
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection with Vision-Language Model
J. Kim, Y. Ku, J. Kim, J. Cha, S. Baek
ICASSP figure
ICASSP 2024 5 citations
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
J. Kim, S. Hong, C. Kim, J. Kim, Y. Tiruneh, J. On, J. Song, S. Choi, S. Baek
IEIE Summer 2023
Reducing Data Imbalance for Object Detection
J. Kim, S. Hong, C. Kim, J. Kim, J. On, Y. Tiruneh, J. Song, S. Choi, S. Baek
JKAIA 2022
Temporal MANO-Based Video Hand Pose and Shape Estimation
H. Park, J. Kim, J. Kim, S. Baek
Best Paper Award
IEIE Fall 2021
Multi-Task Learning Approach to Autonomous Driving Techniques
I. Lee, J. Kim, H. Lee, Y. Kim, D. Lee, H. Lee
Best Paper Award
KICS Summer 2021
Deep Learning-Based Self-Driving Systems for Swarm Vehicles
H. Kim, J. Kim, I. Lee, H. Lee
Best Paper Award
IEMEK ICT 2021
AI Edge Server Design for Swarm Vehicular Networks
J. Kim, H. Kim, I. Lee, H. Lee
KICS Winter 2021
AI-Enabled Low-Complexity Autonomous Driving Using TensorRT
H. Kim, J. Kim, I. Lee, H. Lee

Projects

4 projects
HumanSkill-4D highlighting an avatar's upper clothing while both arms lift outward
4D referring segmentation

HumanSkill-4D

Training-free language querying of animatable Gaussian avatars in space and time.

Gaussian avatars MLLM Training-free
BeeHunters tiny pollinator detection project preview
Challenge winner

BeeHunters

1st-place solution to the CVPPA@ECCV'26 BuzzSpot Challenge on tiny pollinator detection.

Small objects Co-DINO 1st Place
SparkOrbit dashboard with AI model leaderboards and a side panel of trending models
AI dashboard

SparkOrbit

Live dashboard for AI papers, models, benchmarks, and news, with local LLM summaries.

AI monitor Dashboard Local LLM
MOMO project preview
Meeting intelligence

MOMO

Local pipeline that turns Zoom recordings into evidence-linked meeting notes.

Python Whisper Ollama

Education

2023 – Present
Combined MS-PhD in AI
UNIST, Ulsan, South Korea
2016 – 2022
B.S. in Information and Communications Engineering
Pukyong National University, Busan
Research advised by Prof. Hoon Lee since 2019

Experience

2024 – 2025
AI Research Intern
NAVER AI Lab, Seoul
Backbone Research Team · Advisor: Dongyoon Han
2022 – 2025
NVIDIA AI Ambassador
NVIDIA DLI Program
Leader, NVIDIA · MODULABS Foundation Models Lab
2022 – 2023
AI Research Intern
UVL Lab, Ulsan & Corp. KST, Busan

Awards

2026 1st Place, CVPPA@ECCV'26 BuzzSpot Challenge (Solo Entry · Small Object Detection) Code
2025 Outstanding Reviewer, BMVC 2025
2025 Excellence Award, 37th IPIU Poster Presentation
2021 Best Paper Award, IEMEK · KICS · IEIE
2021 1st Prize, PKNU Capstone Design
2020 2nd Prize, 기술보증기금 AI Contest

Service & Talks

2026 Reviewer: ICLR (’27), AAAI (’25, ’26), WACV (’26), ACCV (’26), BMVC (Outstanding), IEEE TMM, IEEE TIP
2025 Invited Young Researcher, National Physical-AI Strategy Advisory Seminar (ETRI)
2024 Oral Talk, KOREA Digital Innovators Symposium (UNIST representative)
2024 Poster, KCCV 2024

Press

Teaching & Mentoring

Samsung SSAFY (13th)

Lecture Mentor

Language Models & RAG

UNIST AI Novatus Academia

Workshop Lecturer

Computer Vision

NVIDIA Jetson AI Workshop

NVIDIA Instructor

Pukyong National University · JetBot hands-on seminar · Record

BeeHunters · CVPPA @ ECCV 2026

Junsu Kim presenting the BeeHunters detector comparison at CVPPA, ECCV 2026

NVIDIA AI Ambassador
NVIDIA DLI Certified Instructor Directory profile screenshot