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UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval - Dataset, Design, and Results.

, , , , , , , , and . WACV (Workshops), page 359-367. IEEE, (2024)

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Human detection in MOUT scenarios using covariance descriptors and supervised manifold learning., and . Visual Information Processing, volume 7701 of SPIE Proceedings, page 770106. SPIE, (2010)UPAR Challenge: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results., , , , , , , , and . WACV (Workshops), page 166-175. IEEE, (2023)Do as we do: Multiple Person Video-To-Video Transfer., , , , and . MIPR, page 84-90. IEEE, (2021)Context-based handover of persons in crowd and riot scenarios.. Image Processing: Machine Vision Applications, volume 9405 of SPIE Proceedings, page 94050Q. SPIE, (2015)Object detection in MOUT: evaluation of a hybrid approach for confirmation and rejection of object detection hypotheses., and . Image Processing: Machine Vision Applications, volume 9024 of SPIE Proceedings, page 90240P. SPIE, (2014)UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval - Dataset, Design, and Results., , , , , , , , and . WACV (Workshops), page 359-367. IEEE, (2024)Two-stage appearance-based re-identification of humans in low-resolution videos.. WIFS, page 19-24. IEEE, (2012)Robuste Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten mit niedriger Auflösung.. Karlsruhe Institute of Technology, Germany, (2020)Soccer Ball Detection in Occluded Situations for Single Static Camera Systems., and . icSPORTS, page 111-115. SciTePress, (2013)Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors.. AVSS, page 191-196. IEEE Computer Society, (2012)