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Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular Videos
Recovering temporally consistent 3D human body pose, shape and motion from a monocular video is a challenging task due to (self-)occlusions, poor lighting conditions, complex articulated body poses, depth ambiguity, and limited availability of annotated data.
Ground then Navigate: Language-guided Navigation in Dynamic Scenes
We investigate the Vision-and-Language Navigation (VLN) problem in the context of autonomous driving in outdoor settings.
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