4 citations · 6 across the 7 of their papers we have counts for
7 papers · 1 filter
VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching
Tuan Duc Ngo, Chuang Gan, Evangelos Kalogerakis
Reconstructing the complete geometry of a scene from a single RGB image remains challenging - especially when inferring hidden structures where visual evidence is incomplete. We in…
DAGE: Dual-Stream Architecture for Efficient and Fine-Grained Geometry Estimation
Tuan Duc Ngo, Jiahui Huang, Seoung Wug Oh +4
Estimating accurate, view-consistent geometry and camera poses from uncalibrated multi-view/video inputs remains challenging - especially at high spatial resolutions and over long…
DELTAv2: Accelerating Dense 3D Tracking
Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian +5
We propose a novel algorithm for accelerating dense long-term 3D point tracking in videos. Through analysis of existing state-of-the-art methods, we identify two major computationa…
DELTA: Dense Efficient Long-range 3D Tracking for any video
Tuan Duc Ngo, Peiye Zhuang, Chuang Gan +4
Tracking dense 3D motion from monocular videos remains challenging, particularly when aiming for pixel-level precision over long sequences. We introduce DELTA, a novel method that…
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
Phuc D. A. Nguyen, Tuan Duc Ngo, Evangelos Kalogerakis +4
We introduce Open3DIS, a novel solution designed to tackle the problem of Open-Vocabulary Instance Segmentation within 3D scenes. Objects within 3D environments exhibit diverse sha…
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen
Instance segmentation on 3D point clouds (3DIS) is a longstanding challenge in computer vision, where state-of-the-art methods are mainly based on full supervision. As annotating g…