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Nathan Tseng

2 accepted papers

2023

CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations

RA-L 2023

Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties. However, NeRFs often fail for outdoor, unbounded scenes that are captured under very sparse views with the scene content concentrated far away from the

Cited by 26SourceScholar
2022

SIMBAR: Single Image-Based Scene Relighting for Effective Data Augmentation for Automated Driving Vision Tasks

CVPR 2022poster

Real-world autonomous driving datasets comprise of images aggregated from different drives on the road. The ability to relight captured scenes to unseen lighting conditions, in a controllable manner, presents an opportunity to augment datasets with a richer variety of lighting conditions, similar to…

Cited by 15PDFcodeScholar