activity
20172023
most citedMASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation

81 citations · 192 across the 13 of their papers we have counts for

collaborators

17 papers

cs.CV20227 cited

HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising

Mohammad Amin Shabani, Sepidehsadat Hosseini, Yasutaka Furukawa

The paper presents a novel approach for vector-floorplan generation via a diffusion model, which denoises 2D coordinates of room/door corners with two inference objectives: 1) a si…

cs.RO2022

Neural Inertial Localization

Sachini Herath, David Caruso, Chen Liu +2

This paper proposes the inertial localization problem, the task of estimating the absolute location from a sequence of inertial sensor measurements. This is an exciting and unexplo…

cs.CV2021

Structured Outdoor Architecture Reconstruction by Exploration and Classification

Fuyang Zhang, Xiang Xu, Nelson Nauata +1

This paper presents an explore-and-classify framework for structured architectural reconstruction from an aerial image. Starting from a potentially imperfect building reconstructio…

cs.CV2021

Plan2Scene: Converting Floorplans to 3D Scenes

Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa +2

We address the task of converting a floorplan and a set of associated photos of a residence into a textured 3D mesh model, a task which we call Plan2Scene. Our system 1) lifts a fl…

cs.RO20214 cited

Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments

Sachini Herath, Saghar Irandoust, Bowen Chen +3

The paper proposes a multi-modal sensor fusion algorithm that fuses WiFi, IMU, and floorplan information to infer an accurate and dense location history in indoor environments. The…

cs.CV2021

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi +1

This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, effic…