765 citations · 3.7k across the 105 of their papers we have counts for
5 papers · 1 filter
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation
Mateusz Malinowski, Mario Fritz
Over the last two decades we have witnessed strong progress on modeling visual object classes, scenes and attributes that have significantly contributed to automated image understa…
Towards a Visual Turing Challenge
Mateusz Malinowski, Mario Fritz
As language and visual understanding by machines progresses rapidly, we are observing an increasing interest in holistic architectures that tightly interlink both modalities in a j…
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski, Mario Fritz
We propose a method for automatically answering questions about images by bringing together recent advances from natural language processing and computer vision. We combine discret…
Learning Multi-Scale Representations for Material Classification
Wenbin Li, Mario Fritz
The recent progress in sparse coding and deep learning has made unsupervised feature learning methods a strong competitor to hand-crafted descriptors. In computer vision, success s…
Ubic: Bridging the gap between digital cryptography and the physical world
Mark Simkin, Dominique Schroeder, Andreas Bulling +1
Advances in computing technology increasingly blur the boundary between the digital domain and the physical world. Although the research community has developed a large number of c…