Tuan Duc Ngo

Working on 3D & 4D Vision

I’m a PhD student in Computer Science at UMass Amherst, advised by Prof. Evangelos Kalogerakis and Prof. Chuang Gan.

I was a research intern at Adobe Research. Previously, I interned at Snap Research, working with Dr. Chaoyang Wang on 4D reconstruction.

Prior to my Ph.D., I was an AI Research Resident at VinAI Research, working closely with Dr. Khoi Nguyen.


PhD in CS
Sep 2023 -
Research Intern
Jun 2026 -
Research Intern
May 2025 - Nov 2025
Research Intern
May 2024 - May 2025
AI Research Resident
Aug 2021 - Jul 2023

News

  • [06/2026] I will join Meta as a Research Intern.
  • [02/2026] DAGE is accepted to CVPR 2026 [code].
  • [05/2025] I joined Adobe Research as a Research Intern.
  • [02/2025] 4Real-Video is accepted (highlight) to CVPR 2025.
  • [01/2025] DELTA is accepted to ICLR 2025 [code].
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Publications

* indicates equal contribution.

DAGE: Dual-Stream Architecture for Efficient and Fine-Grained Geometry Estimation

CVPR, 2026

Estimate accurate camera poses and high-fidelity 3D geometry at 2K resolution via an efficient dual-stream architecture.

4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion

CVPR, 2025 Highlight

A diffusion model that generates 4D video -- a grid of video frames with both time and viewpoint axes.

DELTA: Dense Efficient Long-range 3D Tracking for Any video

ICLR, 2025

Capture the dense, long-range, 3D point trajectories from casual videos in a feed-forward manner

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers

Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
ICCV, 2023

Tackle the box-supervised 3D point cloud instance segmentation by using Gaussian Processes to generate pseudo labels

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution

Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
CVPR, 2023

Introduce an efficient sampling strategy and propose leveraging the bounding box as a geometric cue for the 3D point cloud instance segmentation

Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter

Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter

Tuan Duc Ngo, Khoi Nguyen
ECCV, 2022

Propose a new task, Few-shot 3D point cloud instance segmentation, and introduce a geodesic-based 3D instance segmenter

GAC3D: improving monocular 3D object detection with ground-guide model and adaptive convolution

PeerJ, 2021

Propose a new monocular 3D detection framework leveraging the ground plane model and depth-adaptive convolution


Academic Services

Conference Reviewer CVPR '24/'25/'26 ICCV '25 ECCV '24/'26 NeurIPS '25 ICLR '26 AAAI '25/'26
Journal Reviewer IEEE Transactions on Image Processing