I am currently a PhD student in Computer Science at Trinity College Dublin under the supervision of Prof. Binh-Son Hua. Previously, I was a Research Resident at Qualcomm AI Research. I received my Bachelor’s degree in Computer Science (APCS) from the University of Science, Vietnam National University Ho Chi Minh City.

My research interests focus on artificial intelligence, computer vision and computer graphics, with a particular emphasis on 3D understanding and 3D/4D generative modeling. I am interested in building models that can perceive, represent, and generate dynamic 3D worlds.

News

2026.08

Moved to Dublin, Ireland 🇮🇪 to pursue a PhD in Computer Science at Trinity College Dublin, focusing on dynamic 3D reconstruction.

2025.02

Transitioned to Qualcomm AI Research as a Research Resident, focusing on open-vocabulary 3D understanding and physically grounded generative models.

2023.10

Won the Vietnam Female Students in Science and Technology Award 🇻🇳.

2023.08

Joined VinAI Research as a Research Resident, working on 3D/4D modeling and neural scene representations.

Publications

CVPR 2026

Prepare Lighter and Faster for Open-Vocabulary Queries: A Query-Wise 3D Segmenter for Gaussian Splatting

Nhat-Quynh Le-Pham, Khoi Nguyen, Binh-Son Hua

Under Review

TruncGradGS

TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates

Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins, Binh-Son Hua

Pacific Graphics 2026

Bachelor Thesis

Text-to-4D Content Creation using Image Priors and Monocular Driver Videos

Nhat-Quynh Le-Pham

Bachelor Thesis (Highest Distinction)

ThesisVideo

SketchANIMAR

SketchANIMAR: Sketch-Based 3D Animal Fine-Grained Retrieval

Trong-Vu Hoang, Quang-Binh Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Hai-Dang Nguyen

3DOR’23 · Computers & Graphics Journal

PaperWorking NotesCode

TextANIMAR

TextANIMAR: Text-Based 3D Animal Fine-Grained Retrieval

Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Hai-Dang Nguyen

3DOR’23 · Computers & Graphics Journal

PaperWorking NotesCode

SHREC 2022

SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds

Nhat-Quynh Le-Pham*, Dinh-Khoi Vo*, Tuan-An To*, Nham-Tan Nguyen*, Hai-Dang Nguyen, Minh-Triet Tran

3DOR’22 · Computers & Graphics Journal

PaperCode

Patents

  • Query-based Open-vocabulary 3D object segmentation from Gaussian Splats, Nhat-Quynh Le-Pham, Khoi Nguyen, Binh-Son Hua, US Patent

Experience

Honors and Awards

  • 2023.10 Awarded the Vietnam Female Students in Science and Technology Award.
  • 2023.03 Received the Top GPA Scholarship from the Faculty of Information Technology, University of Science (Top 1%).
  • 2023.03 1st Place, SHREC 2023 — Sketch-Based 3D Animal Fine-Grained Retrieval (3DOR’23).
  • 2023.03 1st Place, SHREC 2023 — Text-Based 3D Animal Fine-Grained Retrieval (3DOR’23).
  • 2022.02 3rd Place, SHREC 2022 — Fitting and Recognition of Geometric Primitives (3DOR’22).
  • 2021.12 Finalist, Ho Chi Minh City AI Challenge.

Professional Services

  • Reviewers: CVPRW 2025, ICCV 2025, ICLR 2026.