3D Object Modeling

Building 3D models is an important problem in several areas, such as forensic applications, medical applications, industrial inspection, or virtual visits of...

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...

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 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 Textures

One of the most important elements of modern Computer Vision is the concept of image texture, or simply texture. Depending on the task at hand (e.g. image-ba...

People Detection

People detection and tracking in video are fundamental Computer Vision capabilities that still constitute a research challenge. Important difficulties are du...

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...

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...

Video Surveillance

Increasingly, large networks of surveillance cameras are employed to monitor public and private facilities. This continuous collection of imagery has the pot...

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...

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...

Person Re-Identification

Long-duration tracking of individuals across large sites remains an almost untouched research area. Trucks of individuals acquired in disjoint fields of view...

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...

Human Interactions

Recognizing human interactions from video is an important step forward towards the long-term goal of performing scene understanding fully automatically. Rece...

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...

Immersive Analytics

Recent advanecs in augmented, mixed, and virtual reality, coupled with the need to perform analysis and decision-making on large-scale collections of volumet...

Out-of-Distribution Learning

Out-of-Distribution learning is concerned with developing methods where the distribution of the data processed at test time may be different from the distrib...