Face clustering is an important but challenging task since facial images always have huge variation due to change in facial expressions, head poses and ...
Face clustering is an important but challenging task since facial images always have huge variation due to change in facial expressions, head poses and ...
We compare the proposed method with the state-of-art methods and show its improvements on real-world datasets. The remaining of this paper is structured as ...
Abstract: Face clustering is an important but challenging task since facial images always have huge variation due to change in facial expressions, ...
To take advantage of the above cues, we propose a new algorithm, Multicue Augmented Face Clustering (McAFC), which effectively incorporates the cues via graph- ...
Precision Clustering algorithm for person-clustering in videos using cues from several modalities (face, body, and voice). Second, we introduce a Video ...
Apr 5, 2020 · In this work, we present Clustering-based Contrastive Learning. (CCL), a new clustering-based representation learning approach that uses labels ...
In this article, we present a method to form tracks by grouping face detections of a video sequence. Our clustering method is based on a probabilistic maximum ...
Missing: Augmented | Show results with:Augmented
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What is multi view clustering?
What is face clustering?
In addition, the particle filter algorithm which uses a single cue cannot achieve stable tracking regarding sudden illumination variation and similarly coloured ...
An approach is presented to detect faces and facialfeatures on a video segment based on multi-cues, including gray-leveldistribution, color, motion, ...
Missing: Augmented Clustering.