Conference
Order-Conditioned Message Passing over Shape Codes for Amodal Segmentation
Vungsovanreach Kong, Saravit Soeng, Rotanakkosal Chhun, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
Academic Background
Now
Current
Master's Degree in Big Data (Integrated Student), Chungbuk National University (September 2025 to Present)BS
Bachelor's Degree
Computer Science, Royal University of Phnom Penh, Cambodia (2023)Recent publications
View Conference
Conference
Constraint-Aware Constrained Quadratic Modeling for Hyperparameter Tuning
Kimchhor Chiv, Sokheang Chan, Rotanakkosal Chhun, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
Conference
Motion-Aware Open-Vocabulary Video Object Segmentation
Rotanakkosal Chhun, Vungsovanreach Kong, Naro Vorn, Ratanaktepi Chhor, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
Research Focus
His work centers on the intersection of computer vision and Large Language Models (LLMs). He is particularly passionate about the synergy between computer vision and LLMs, exploring how these technologies can be integrated to create intelligent systems.
Computer Vision & LLM Integration
Exploring synergies between visual understanding and language modelsMultimodal AI Solutions
Developing systems that leverage both visual and textual dataIntelligent Systems
Creating AI systems that can understand and process multiple data modalitiesRobotic Vision
Developing perception systems for autonomous robotic manipulationResearch Projects
Arm Robot for Bin-Picking in Unstructured Environments
Development of an autonomous arm picking robot designed to detect, localize, and grasp objects in cluttered, unstructured environments. The project addresses critical challenges in robotic perception, particularly for transparent and reflective objects under heavy occlusion conditions.
Key Contributions
Instance Segmentation Pipeline
Implemented and benchmarked advanced segmentation models including SAM 2 and UOAIS to solve transparency and heavy occlusion challenges. Achieved real-time performance with UOAIS (15 fps) while maintaining accuracy, and tested Mask2Former for enhanced robustness in complex scenariosHardware Integration
Engineered complete integration of Intel RealSense L515 LiDAR camera with the instance segmentation pipeline using a custom Python-SDK wrapper, enabling seamless real-time depth and RGB data acquisition3D Point Cloud Conversion
Developed robust algorithms to convert 2D pixel coordinates and depth data into accurate 3D point cloud coordinates (x, y, z), providing essential spatial information for robotic grasping operationsGrasp Detection Research
Conducted comprehensive study on Contact-GraspNet approach for 6-DoF (6 Degrees of Freedom) grasp detection, advancing understanding of grasp pose estimation in cluttered environmentsTechnologies: SAM 2, UOAIS, Mask2Former, Intel RealSense L515, Contact-GraspNet, Python, 3D Point Cloud Processing, Real-time Computer Vision
Professional Experience
- CurrentResearcher, AI Convergence Lab, Chungbuk National University
- 2023 – Mid 2025IT Instructor, Korea Software HRD Center, Phnom Penh, Cambodia
- Taught software development and DevOps practices
Technical Expertise
With a strong foundation in software engineering and emerging expertise in AI research, his technical skills span multiple domains from traditional software development to cutting-edge AI technologies.
Full-Stack Development
Proficient across multiple programming languages and frameworksDevOps
Cloud platforms and deployment practicesComputer Vision
Image processing and visual understanding systemsLarge Language Models
Integration and application of LLMsProgramming Languages
Multiple languages across different paradigmsTeaching Experience
As an IT Instructor at the Korean Software HRD Center (2023–2025), he gained valuable experience in teaching software development and DevOps practices. This teaching background provides him with the ability to communicate complex technical concepts clearly and mentor junior developers and students.
Career Aspirations
Aims to pursue doctoral studies to further advance contributions to the field of artificial intelligence and its practical applications. His goal is to bridge the gap between theoretical AI research and real-world implementations, creating systems that are both academically rigorous and practically valuable.
Research Philosophy
Believes in creating AI systems that combine strong engineering foundations with innovative research. His approach integrates practical software development skills with cutting-edge AI research, ensuring that solutions are both technically sound and deployable in real-world scenarios.
2026
Conference
Order-Conditioned Message Passing over Shape Codes for Amodal Segmentation
Vungsovanreach Kong, Saravit Soeng, Rotanakkosal Chhun, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
Conference
Constraint-Aware Constrained Quadratic Modeling for Hyperparameter Tuning
Kimchhor Chiv, Sokheang Chan, Rotanakkosal Chhun, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
Conference
Motion-Aware Open-Vocabulary Video Object Segmentation
Rotanakkosal Chhun, Vungsovanreach Kong, Naro Vorn, Ratanaktepi Chhor, Tae-Kyung Kim
BIGDAS 2026, 14th International Conference on Big Data Applications and Services, Aug. 2026
2025
Conference
The Role of Continuous Integration and Continuous Deployment in Modern DevOps Practices
Rotanakkosal Chhun, Vungsovanreach Kong, Sokheang Chan, Naro Vorn, Tae-Kyung Kim
FITAT 2025 - 17th International Conference on Frontiers of Information Technology, Applications and Tools
Conference
Enhancing RAG Ranking with Leave-One-Out Reward Supervision and Direct Preference Optimization
Rotanakkosal Chhun, Sokheang Chan, Vungsovanreach Kong, Tae-Kyung Kim
BIGDAS 2025, 13th International Conference on Big Data Applications and Services, Aug. 2025