Tuan Duc Ngo

Iā€™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. I received my B.E. degree in Computer Engineering from the Ho Chi Minh City University of Technology.

Email: ductuan.ngo99 (at) gmail (dot) com

| CV | Google Scholar | Github | LinkedIn |

News

  • [02/2026]: One paper is accepted to CVPR 2026.
  • [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].
  • [05/2024]: I joined Snap Research as a Research Intern.
▼ Show more

Publications

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

Tuan Duc Ngo, Jiahui Huang, Seoung Wug Oh, Kevin Blackburn-Matzen, Evangelos Kalogerakis, Chuang Gan, Joon-Young Lee
CVPR, 2026

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

Project Page PDF arXiv

DELTAv2: Accelerating Dense 3D Tracking

Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian, Hanwen Liang, Chuang Gan, Evangelos Kalogerakis, Peter Wonka, Chaoyang Wang
Preprint, 2025

Accelerate dense, long-range, 3D point tracking with 5-100x speedup

Project Page PDF arXiv Code

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

Chaoyang Wang*, Peiye Zhuang*, Tuan Duc Ngo*, Willi Menapace, Aliaksandr Siarohin, Michael Vasilkovsky, Ivan Skorokhodov, Sergey Tulyakov, Peter Wonka, Hsin-Ying Lee
CVPR, 2025 Highlight

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

Project Page PDF arXiv

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

Tuan Duc Ngo, Peiye Zhuang, Chuang Gan, Evangelos Kalogerakis, Sergey Tulyakov, Hsin-Ying Lee, Chaoyang Wang
ICLR, 2025

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

Project Page PDF arXiv Code
Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance

Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance

Phuc Nguyen*, Tuan Duc Ngo*, Chuang Gan, Evangelos Kalogerakis, Anh Tran, Cuong Pham, Khoi Nguyen
CVPR, 2024

Tackle the open-vocabulary 3D point cloud instance segmentation by using 2D prior

Project Page PDF arXiv Code
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

PDF arXiv Code
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

PDF arXiv Code Video
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

PDF arXiv Code

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

Minh-Quan Viet Bui*, Tuan Duc Ngo*, Hoang-Anh Pham, Duc Dung Nguyen
PeerJ, 2021

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

PDF Code

Experience

Academic Services

Teaching Assistant: Intelligent Visual Computing (COMPSCI 674, Spring 2024), Game Programming (COMPSCI 576, Fall 2024)

Reviewer: CVPR (2024, 2025, 2026), ICCV (2025), ECCV (2024, 2026), NeurIPS (2025), ICLR (2026), AAAI (2025, 2026), IEEE Transactions on Image Processing