1 citations · 2 across the 4 of their papers we have counts for
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cs.CV2021
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
Andy Catruna, Adrian Cosma, Ion Emilian Radoi
Obtaining demographics information from video is valuable for a range of real-world applications. While approaches that leverage facial features for gender inference are very succe…
cs.CV2021★ 1 cited
WildGait: Learning Gait Representations from Raw Surveillance Streams
Adrian Cosma, Emilian Radoi
The use of gait for person identification has important advantages such as being non-invasive, unobtrusive, not requiring cooperation and being less likely to be obscured compared…