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pro vyhledávání: '"Ntinou, Ioanna"'
This paper is on long-term video understanding where the goal is to recognise human actions over long temporal windows (up to minutes long). In prior work, long temporal context is captured by constructing a long-term memory bank consisting of past a
Externí odkaz:
http://arxiv.org/abs/2406.07191
Autor:
Xenos, Alexandros, Foteinopoulou, Niki Maria, Ntinou, Ioanna, Patras, Ioannis, Tzimiropoulos, Georgios
Recognising emotions in context involves identifying the apparent emotions of an individual, taking into account contextual cues from the surrounding scene. Previous approaches to this task have involved the design of explicit scene-encoding architec
Externí odkaz:
http://arxiv.org/abs/2404.07078
Action Localization is a challenging problem that combines detection and recognition tasks, which are often addressed separately. State-of-the-art methods rely on off-the-shelf bounding box detections pre-computed at high resolution, and propose tran
Externí odkaz:
http://arxiv.org/abs/2312.17686
Action Units (AUs) are geometrically-based atomic facial muscle movements known to produce appearance changes at specific facial locations. Motivated by this observation we propose a novel AU modelling problem that consists of jointly estimating thei
Externí odkaz:
http://arxiv.org/abs/2004.06657
Autor:
Kastaniotis, Dimitris, Ntinou, Ioanna, Tsourounis, Dimitrios, Economou, George, Fotopoulos, Spiros
In this work, we present a novel approach for training Generative Adversarial Networks (GANs). Using the attention maps produced by a Teacher- Network we are able to improve the quality of the generated images as well as perform weakly object localiz
Externí odkaz:
http://arxiv.org/abs/1802.09070
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