3 citations · 4 across the 3 of their papers we have counts for
5 papers
Extending a Large View Synthesis Model for Multi-view Panoptic Segmentation
Kwonyoung Ryu, In-Jae Lee, Jonghyun Jin +3
Large view synthesis models synthesize novel views through cross-view attention without explicit 3D representations, and recent studies have shown that they learn accurate spatial…
SpatialMosaic: A Multiview VLM Dataset for Partial Visibility
Kanghee Lee, Jungi Hong, Sion Lee +4
Recent progress in Multimodal Large Language Models (MLLMs) has enabled 3D scene understanding and spatial reasoning directly from multi-view images, without requiring explicit 3D…
OpenBox: Annotate Any Bounding Boxes in 3D
In-Jae Lee, Mungyeom Kim, Kwonyoung Ryu +2
Unsupervised and open-vocabulary 3D object detection have recently gained attention, particularly in autonomous driving, where reducing annotation costs and recognizing unseen obje…
Instant Domain Augmentation for LiDAR Semantic Segmentation
Kwonyoung Ryu, Soonmin Hwang, Jaesik Park
Despite the increasing popularity of LiDAR sensors, perception algorithms using 3D LiDAR data struggle with the 'sensor-bias problem'. Specifically, the performance of perception a…
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective
Wei Dong, Kwonyoung Ryu, Michael Kaess +1
Spinning LiDAR data are prevalent for 3D vision tasks. Since LiDAR data is presented in the form of point clouds, expensive 3D operations are usually required. This paper revisits…