Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi, Ranya Almohsen, Donald A Adjeroh, Gianfranco Doretto
Video Understanding
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...
Human Interactions
Recognizing human interactions from video is an important step forward towards the long-term goal of performing scene understanding fully automatically. Rece...
Dictionary Learning
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...
Exemplar-based Object Layout
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 from Multiple Sources
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the availab...
Video Surveillance
Increasingly, large networks of surveillance cameras are employed to monitor public and private facilities. This continuous collection of imagery has the pot...
Aerial Video Analysis
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...
Face Modeling and Tracking
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
People detection and tracking in video are fundamental Computer Vision capabilities that still constitute a research challenge. Important difficulties are du...
Dynamic Texture Editing
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 ...
Dynamic Texture Segmentation
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...
Dynamic Texture Recognition
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...