Soon-heung Jung — accepted AI-conference papers

2025

HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network

Juhyung Ha, Vibhas Kumar Vats, Soon-heung Jung, Alimoor Reza, David J. Crandall

ICCV 2025poster

Point-cloud upsampling aims to generate dense point sets from sparse or incomplete 3D data. Most existing work uses a point-to-point framework. While this method achieves high geometric precision, it is slow because of irregular memory accesses to process unstructured point data. Alternatively, voxe…

Cited by 0 Source ↗PDF ↗Scholar ↗

2021

Error Diagnosis of Deep Monocular Depth Estimation Models

Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md Reza, David Crandall, Soon-Heung Jung

IROS 2021poster

Estimating depth from a monocular image is an ill-posed problem: when the camera projects a 3D scene onto a 2D plane, depth information is inherently and permanently lost. Nevertheless, recent work has shown impressive results in estimating 3D structure from 2D images using deep learning. In this pa…

Cited by 3 Source ↗Scholar ↗