I am a deep-learning practitioner based in South Korea, specializing in 3D computer vision, point-cloud processing, and medical/dental AI.
My current work focuses on building deep-learning systems for:
- 3D point-cloud completion and reconstruction
- Point-cloud classification and segmentation
- Dental crown generation and tooth segmentation
- Voxel-, point-, and hybrid representation learning
- Efficient and lightweight deep-learning architectures
I am also expanding my research into SLAM, Neural Radiance Fields, 3D Gaussian Splatting, autonomous-driving perception, and multimodal AI.
- 🎓 Bachelor’s degree from Telkom University
- 🎓 Master’s degree from Sejong University, South Korea — dual-major program
- 📍 Currently working in South Korea
- 🤝 Open to research and open-source collaboration in 3D vision, ML, and DL
- 🌐 Portfolio: irfanfadhullah.github.io
- 💼 LinkedIn: Muhamad Irfan Fadhullah
3D Computer Vision • Point Clouds • 3D Reconstruction • Shape CompletionMedical and Dental AI • Semantic Segmentation • Generative ModelsSLAM • NeRF • 3D Gaussian Splatting • Vision-Language Models
| Year | Project | Main Focus | Repository |
|---|---|---|---|
| 2026 | 3D Point Cloud Generation and Reconstruction | Deep-learning methods for generating and reconstructing 3D geometry | Code |
| 2026 | 3D Point Cloud Completion | Completing partial and incomplete point-cloud observations | Code |
| 2026 | 3D Tooth Segmentation | Deep-learning pipelines for dental point-cloud segmentation | Code |
| 2025 | U-Net Zoo | Collection of U-Net architectures and variants | Code |
| 2025 | Simple VLM Toolkit | Lightweight tools for experimenting with vision-language models | Code |
| 2025 | Multi-Stage CUT | Multi-stage contrastive unpaired image-to-image translation | Code |
| 2025 | Pix2PixHD-Plus | Extended high-resolution image-to-image translation | Code |
| 2025 | SPADE-Plus | Extended semantic image-synthesis architecture | Code |
| 2025 | GSM8K-GRPO | Reinforcement-learning experiments for mathematical reasoning | Code |
I am interested in collaborating on open-source and research projects involving:
- 3D point-cloud understanding and generation
- Medical and dental artificial intelligence
- Efficient deep-learning architectures
- Autonomous-driving perception
- SLAM, NeRF, and 3D Gaussian Splatting
If you are working on a related project, feel free to connect with me through LinkedIn.