5 papers
Exploring 6D Object Pose Estimation with Deformation
Zhiqiang Liu, Rui Song, Duanmu Chuangqi +3
We present DeSOPE, a large-scale dataset for 6DoF deformed objects. Most 6D object pose methods assume rigid or articulated objects, an assumption that fails in practice as objects…
LiftProj: Space Lifting and Projection-Based Panorama Stitching
Yuan Jia, Ruimin Wu, Rui Song +2
Traditional image stitching techniques have predominantly utilized two-dimensional homography transformations and mesh warping to achieve alignment on a planar surface. While effec…
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow
Qingyuan Wang, Rui Song, Jiaojiao Li +3
We introduce SCFlow2, a plug-and-play refinement framework for 6D object pose estimation. Most recent 6D object pose methods rely on refinement to get accurate results. However, mo…
NukesFormers: Unpaired Hyperspectral Image Generation with Non-Uniform Domain Alignment
Jiaojiao Li, Shiyao Duan, Haitao XU +1
The inherent difficulty in acquiring accurately co-registered RGB-hyperspectral image (HSI) pairs has significantly impeded the practical deployment of current data-driven Hyperspe…
From Image- to Pixel-level: Label-efficient Hyperspectral Image Reconstruction
Yihong Leng, Jiaojiao Li, Haitao Xu +1
Current hyperspectral image (HSI) reconstruction methods primarily rely on image-level approaches, which are time-consuming to form abundant high-quality HSIs through imagers. In c…