In this work, we perform a study of different network architectures for 3D garment reconstruction. In the study, five networks are compared both quantitatively and qualitatively. The dataset used to train each network is ...

Due to the large quantity of available information as well as the huge computational power achieved today, the application of Artificial Intelligence (AI) in computer programs has become, now more than ever, much popular. ...

In this report, techniques for Anomaly Detection are explored with the aim of automating the process of detecting marine mammals in satellite imagery. This can be later be applied to extract and prepare data for an object ...

This work propose a methodology for still image facial expression. The proposed method contains a face detection and alignment module followed by a deep convolutional neural network (CNN) that outputs a seven emotions ...

We propose a machine translation architecture based on autoencoders and a shared interlingua representation that produce comparable results to state of the art systems. Also we define evaluation and visualization strategies ...

We establish critical discussion on the problem of Semantic Inpainting in still images of humans. We present a Dataset for this task as well as analyze the performance of current SOTA methods on it. We also present a novel ...

We consider a case of covariate shift where prior causal inference or expert knowledge has identified some features as effects, and show how this setting, when analysed from a causal perspective, gives rise to a semi-generative ...

Eye gaze is an important non-verbal cue in human-human and human-machine interactions. In this master thesis, we explore optical ow as a new feature of temporal information added to face and eyes to perform 3D gaze ...

We propose an architecture for detecting patterns in genomic rearrangements that may cause cancer. We use an unsupervised clustering method based on Kernel Density Estimation function and Graph Mining techniques for pattern ...