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Yujin Ham

2 accepted papers

2026

Generating Humanless Environment Walkthroughs from Egocentric Walking Tour Videos

CVPR 2026

Egocentric walking tour videos provide a rich source of image data to develop rich and diverse visual models of environments around the world. However, the significant presence of humans in frames of these videos due to crowds and eye-level camera perspectives mitigates their usefulness in environme

Cited by 0SourceScholar
2025

Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract)

AAAI 2025technical

The task of 3D object detection is crucial for various applications that rely on identifying objects in three-dimensional space using inputs like LiDAR point clouds and images. However, LiDAR-based detection faces challenges due to the sparsity of point clouds, especially at greater distances. To ad…

Cited by 0SourcePDFScholar