Junsong Yuan
Publications368
h-index44
Citations8,582
Highly Influential Citations1,121
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IEEE Conference on Computer Vision and Pattern…
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some unique… Continue Reading
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local spatio-temporal… Continue Reading
IEEE Transactions on Pattern Analysis and Machine…
Human action recognition is an important yet challenging task. Human actions usually involve human-object interactions, highly articulated motions, high intra-class variations, and complicated… Continue Reading
The rapid growth of consumer videos requires an effective and efficient content summarization method to provide a user-friendly way to manage and browse the huge amount of video data. Compared with… Continue Reading
The recently developed depth sensors, e.g., the Kinect sensor, have provided new opportunities for human-computer interaction (HCI). Although great progress has been made by leveraging the Kinect… Continue Reading
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera
The recently developed depth sensors, e.g., the Kinect sensor, have provided new opportunities for human-computer interaction (HCI). Although great progress has been made by leveraging the Kinect… Continue Reading
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given a collection of normal training examples, e.g., an image sequence or a collection of local… Continue Reading
IEEE Conference on Computer Vision and Pattern…
Actions are spatio-temporal patterns which can be characterized by collections of spatio-temporal invariant features. Detection of actions is to find the re-occurrences (e.g. through pattern… Continue Reading
IEEE Conference on Computer Vision and Pattern…
In this paper we target at generating generic action proposals in unconstrained videos. Each action proposal corresponds to a temporal series of spatial bounding boxes, i.e., a spatio-temporal video… Continue Reading
IEEE Conference on Computer Vision and Pattern…
A visual word lexicon can be constructed by clustering primitive visual features, and a visual object can be described by a set of visual words. Such a "bag-of-words" representation has led to many… Continue Reading