👋 I am an M.S. candidate in Artificial Intelligence at Xidian University, Xi'an, China (graduating July 2026). My research focuses on open-vocabulary object detection and multi-object tracking robustness under semantic distribution shift — the gap between what vision-language models are trained to recognize and what they encounter at deployment.
I am the first author of EnYOLO-World, which improves YOLO-World with PGI and FiLM-PAN (+3.1 AP, 52.2 AP on COCO, 78 FPS, under review at ELCVIA), and lead researcher on VocabDriftMOT, the first benchmark for vocabulary-drift failure modes in open-vocabulary multi-object tracking. Beyond research, I have 4 years of production software engineering experience and have shipped systems using PyTorch, Docker, GCP Cloud Run, FastAPI, and ChromaDB.
Experience
Featured Projects
Publications
Under
Review
2025
2025
2025
2025
Research Interests
Academic Services
Reviewer
- IEEE IGARSS 2025
- ELCVIA Journal
Skills & Tools
- Python, JavaScript, Java, TypeScript, SQL
- PyTorch, TensorFlow, Scikit-learn, HuggingFace
- YOLO (v5–v11), CLIP, ByteTrack, ONNX
- OpenCV, TorchVision, Object Detection
- Docker, GCP Cloud Run, MLflow, FastAPI
- Redis, Prometheus, Grafana, Git
- ChromaDB, FAISS, LangChain, Cross-Encoder
- Pandas, NumPy, PostgreSQL, MongoDB
Currently Seeking
- PhD in Computer Vision / VLMs
- ML Engineer (Remote / EU / US)
- Available from July 2026
Contact
- lyvireakdara@gmail.com
- github.com/Vireakdara
- Phnom Penh, Cambodia