← Search

Yuguang Li

7 accepted papers

2025

BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction

CVPR 2025highlight

Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a difficult and unsolved problem. We introduce BADGR, a novel diffusion model that jointly performs reconstruction and bundle adjustment (BA) to refine poses and layouts from a coarse state, using 1D floor…

Cited by 0SourcePDFScholar
2023

CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision

ICCV 2023poster

The ill-posed nature of monocular 3D geometry (depth map and surface normals) estimation makes it rely mostly on data-driven approaches such as Deep Neural Networks (DNN). However, data acquisition of surface normals, especially the reliable normals, is acknowledged difficult. Commonly, reconstructi…

Cited by 0PDFScholar
2022

CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas

ECCV 2022poster

"We present CoVisPose, a new end-to-end supervised learning method for relative camera pose estimation in wide baseline 360 indoor panoramas. To address the challenges of occlusion, perspective changes, and textureless or repetitive regions, we generate rich representations for direct pose regressio…

Cited by 19SourcePDFScholar
2022

PSMNet: Position-Aware Stereo Merging Network for Room Layout Estimation

CVPR 2022poster

In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas. Our system, called Position-aware Stereo Merging Network or PSMNet, is an end-to-end joint layout-pose estimator. PSMNet consists of a Stereo Pano Pose (SP^2) transformer and a novel…

Cited by 17PDFcodeScholar
2022

Robust Speaker Verification with Joint Self-Supervised and Supervised Learning

ICASSP 2022accepted

Supervised learning and self-supervised learning address different facets. Supervised learning achieves high accuracy, but it requires numerous expensive labeled data indeed. Correspondingly, self-supervised learning, makes use of abundant unlabeled data to learn, but the performance lags behind tha…

Cited by 0SourceScholar
2022

SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas

ECCV 2022poster

"We propose a new system for automatic 2D floorplan reconstruction that is enabled by SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely located 360 deg. panoramas, whose semantic features (windows, doors, and openings) are inferred and used to hypothesize pa…

2021

Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts

CVPR 2021poster

We present Zillow Indoor Dataset (ZInD): A large indoor dataset with 71,474 panoramas from 1,524 real unfurnished homes. ZInD provides annotations of 3D room layouts, 2D and 3D floor plans, panorama location in the floor plan, and locations of windows and doors. The ground truth construction took ov…

Cited by 75PDFcodeScholar