Hello, I'm Duc Hai

I am a Research Resident at VinAI Research, working on 3D computer vision and generative models. I received my B.E. degree in Computer Engineering from the Ho Chi Minh City University of Technology, Vietnam. Email: duchai1092002 (at) gmail (dot) com.

CV Scholar Github

News

Dec 2024: I am actively looking for PhD/MS opportunities in 3D computer vision and geometry processing.
Dec 2024: SharpDepth, our paper on increasing high-frequency details of metric depth estimators, is available on arXiv 2024. We will release the code soon.
Dec 2024: VFG-SSC, our paper on semi-supervised 3D semantic scene completion, has been accepted to AAAI 2025. We will release the code soon.

Publications

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation

Duc-Hai Pham*, Tung Do*, Phong Nguyen, Binh-Son Hua, Khoi Nguyen, Rang Nguyen

Under Review

We present SharpDepth, a diffusion-based depth model for refining metric depth estimators, e.g., UniDepth, without relying on ground-truth depth data. Our method can recover sharp details in thin structures and improve overall point cloud quality.

Project Page PDF arXiv

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Tuan Ho, Dung Nguyen Duc, Anh Pham, Phong Nguyen, Khoi Nguyen, Rang Nguyen

The 39th Annual AAAI Conference on Artificial Intelligence

We propose a semi-supervised framework for 3D semantic occupancy prediction that reduces reliance on costly labeled data by leveraging 2D foundation models, achieving up to 85% of full-supervision performance with only 10% labeled data.

Project Page PDF arXiv