Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi, Ranya Almohsen, Donald A Adjeroh, Gianfranco Doretto
Stanislav Pidhorskyi, Ranya Almohsen, Donald A Adjeroh, Gianfranco Doretto
Video understanding is concerned with the parsing of the image data flow for the semantic understanding of the objects in the scene, but also their actions a...
Recognizing human interactions from video is an important step forward towards the long-term goal of performing scene understanding fully automatically. Rece...
Recent successes in the use of sparse coding for many computer vision applications have triggered the attention towards the problem of how an over-complete d...
Recognizing the presence of object classes in an image, or image classification, has become an increasingly important topic of interest. Equally important, h...
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the availab...
Increasingly, large networks of surveillance cameras are employed to monitor public and private facilities. This continuous collection of imagery has the pot...
In aerial video moving objects of interest are typically very small, and being able to detect them is key to enable tracking. There are detection methods tha...
Active Appearance Models (AAMs) represent facial images with generative models for both shape and appearance of the face. Despite their success, they enjoy l...
People detection and tracking in video are fundamental Computer Vision capabilities that still constitute a research challenge. Important difficulties are du...
The operation that by processing video data allows producing new video data in Computer Graphics is known as Video-Based Rendering (VBR). Developing new VBR ...
Segmenting the image plane of video sequences is often one of the first steps towards the analysis of video. A lot of effort has been spent on developing ima...
Recognition of objects based on their images is one of the central problems in modern Computer Vision. Objects can be characterized by their geometric, photo...