Computer Vision News - November 2022

SEEN AT ECCV Andrea Burns is a fifth year PhD Candidate at Boston University advised by Kate Saenko and Bryan A. Plummer. She presents her ECCV paper on a new dataset for vision language navigation with unknown command feasibility, the first to study an interactive instruction following task in which the request may not be possible in the visual environment. Qunjie Zhou is a 4th year PhD student at TUM at the Dynamic Vision Learning group, led by Laura Leal-Taixé . She is presenting her poster at ECCV 2022 about geometry-online camera pose estimation. BEST OF ECCV