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20222025
most citedCo-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM

2 citations · 4 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend

Hengyi Wang, Lourdes Agapito

We present AMB3R, a multi-view feed-forward model for dense 3D reconstruction on a metric-scale that addresses diverse 3D vision tasks. The key idea is to leverage a sparse, yet co…

cs.CV20242 cited

3D Reconstruction with Spatial Memory

Hengyi Wang, Lourdes Agapito

We present Spann3R, a novel approach for dense 3D reconstruction from ordered or unordered image collections. Built on the DUSt3R paradigm, Spann3R uses a transformer-based archite…

cs.CV2023

MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video

Hengyi Wang, Jingwen Wang, Lourdes Agapito

Neural rendering has demonstrated remarkable success in dynamic scene reconstruction. Thanks to the expressiveness of neural representations, prior works can accurately capture the…

cs.CV20232 cited

Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM

Hengyi Wang, Jingwen Wang, Lourdes Agapito

We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that performs robust camera tracking and high-fidelity surface reconstruction in real time. Co-SLAM…

cs.CV2022

Boosting Video Object Segmentation based on Scale Inconsistency

Hengyi Wang, Changjae Oh

We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models. Our work is based on scale inconsistency, which is…

cs.CV2022

Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings

Hengyi Wang, Chaoran Zhu, Ziyin Ma +1

We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…