257 citations · 293 across the 6 of their papers we have counts for
6 papers
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse, Thomas Rood, Mateusz Malinowski +2
In many multi-agent settings, participants can form teams to achieve collective outcomes that may far surpass their individual capabilities. Measuring the relative contributions of…
Tutorial on Answering Questions about Images with Deep Learning
Mateusz Malinowski, Mario Fritz
Together with the development of more accurate methods in Computer Vision and Natural Language Understanding, holistic architectures that answer on questions about the content of r…
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task
Ashkan Mokarian, Mateusz Malinowski, Mario Fritz
We present Mean Box Pooling, a novel visual representation that pools over CNN representations of a large number, highly overlapping object proposals. We show that such representat…
Hard to Cheat: A Turing Test based on Answering Questions about Images
Mateusz Malinowski, Mario Fritz
Progress in language and image understanding by machines has sparkled the interest of the research community in more open-ended, holistic tasks, and refueled an old AI dream of bui…
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…
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…