5 papers
SwiftVGGT: A Scalable Visual Geometry Grounded Transformer for Large-Scale Scenes
Jungho Lee, Minhyeok Lee, Sunghun Yang +2
3D reconstruction in large-scale scenes is a fundamental task in 3D perception, but the inherent trade-off between accuracy and computational efficiency remains a significant chall…
MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detection
Sunghun Yang, Minhyeok Lee, Jungho Lee +1
Monocular 3D object detection offers a cost-effective solution for autonomous driving but suffers from ill-posed depth and limited field of view. These constraints cause a lack of…
TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection
Suhwan Cho, Minhyeok Lee, Jungho Lee +2
Video salient object detection (SOD) relies on motion cues to distinguish salient objects from backgrounds, but training such models is limited by scarce video datasets compared to…
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation
Sunghun Yang, Minhyeok Lee, Suhwan Cho +2
Video monocular depth estimation is essential for applications such as autonomous driving, AR/VR, and robotics. Recent transformer-based single-image monocular depth estimation mod…
Effective SAM Combination for Open-Vocabulary Semantic Segmentation
Minhyeok Lee, Suhwan Cho, Jungho Lee +4
Open-vocabulary semantic segmentation aims to assign pixel-level labels to images across an unlimited range of classes. Traditional methods address this by sequentially connecting…