Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Reibman, Amy R."'
Autor:
Ju, Shengtai, Reibman, Amy R.
In the real world, camera-based application systems can face many challenges, including environmental factors and distribution shift. In this paper, we investigate how pose and shadow impact a classifier's performance, using the specific application
Externí odkaz:
http://arxiv.org/abs/2407.09520
Publikováno v:
Electronic Imaging, 2023, pp 111-1 - 111-6
Practical video analytics systems that are deployed in bandwidth constrained environments like autonomous vehicles perform computer vision tasks such as face detection and recognition. In an end-to-end face analytics system, inputs are first compress
Externí odkaz:
http://arxiv.org/abs/2310.06945
Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to learn identity information from labeled images in source domains and apply it to unlabeled images in a target domain. One major issue with many unsupervised re-identification
Externí odkaz:
http://arxiv.org/abs/2301.09702
In this paper, we propose a video analytics system to identify the behavior of turkeys. Turkey behavior provides evidence to assess turkey welfare, which can be negatively impacted by uncomfortable ambient temperature and various diseases. In particu
Externí odkaz:
http://arxiv.org/abs/2102.05024
Animating a static face image with target facial expressions and movements is important in the area of image editing and movie production. This face reenactment process is challenging due to the complex geometry and movement of human faces. Previous
Externí odkaz:
http://arxiv.org/abs/2005.06402
In livestock farming, animal health directly influences productivity. For dairy cows, many health conditions can be evaluated by trained observers based on visual appearance and movement. However, to manually evaluate every cow in a commercial farm i
Externí odkaz:
http://arxiv.org/abs/2003.05903
Publikováno v:
In Smart Agricultural Technology December 2023 6
From TV news to Google StreetView, face obscuration has been used for privacy protection. Due to recent advances in the field of deep learning, obscuration methods such as Gaussian blurring and pixelation are not guaranteed to conceal identity. In th
Externí odkaz:
http://arxiv.org/abs/1906.11979
Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy. Sharing sensitive content where obscuration or redaction techniques have failed to completely remove all identifiable traces can lead to many legal and social
Externí odkaz:
http://arxiv.org/abs/1905.05243
Publikováno v:
In Computers and Electronics in Agriculture May 2021 184