more time!” Yiqing eventually curated a massive dataset of over 1 million annotated training samples, spanning indoor scenes, outdoor scenarios with vehicles and pedestrians, animated films, and even simulated environments with chaotic motion. Much of the data was derived from existing RGB-D video datasets, which combine color, depth, and camera parameters. By carefully converting and filtering them to reduce edge noise, she was able to reconstruct scene flow annotations at scale. 5 DAILY CVPR Sunday Yiqing Liang
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