most citedIs my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects

Pengyuan Wang, HyunJun Jung, Yitong Li +6

Object pose estimation is crucial for robotic applications and augmented reality. Beyond instance level 6D object pose estimation methods, estimating category-level pose and shape…

cs.CV2022★ 3 cited

Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression

HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai +9

Depth estimation is a core task in 3D computer vision. Recent methods investigate the task of monocular depth trained with various depth sensor modalities. Every sensor has its adv…

cs.CV2020

I Like to Move It: 6D Pose Estimation as an Action Decision Process

Benjamin Busam, Hyun Jun Jung, Nassir Navab

Object pose estimation is an integral part of robot vision and AR. Previous 6D pose retrieval pipelines treat the problem either as a regression task or discretize the pose space t…