765 citations · 3.7k across the 105 of their papers we have counts for
7 papers · 1 filter
Person Recognition in Personal Photo Collections
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
Recognising persons in everyday photos presents major challenges (occluded faces, different clothing, locations, etc.) for machine vision. We propose a convnet based person recogni…
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz
An increasing number of works explore collaborative human-computer systems in which human gaze is used to enhance computer vision systems. For object detection these efforts were s…
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
We address a question answering task on real-world images that is set up as a Visual Turing Test. By combining latest advances in image representation and natural language processi…
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG
Wei-Chen Chiu, Mario Fritz
The Histogram of Oriented Gradient (HOG) descriptor has led to many advances in computer vision over the last decade and is still part of many state of the art approaches. We reali…
Appearance-Based Gaze Estimation in the Wild
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
Appearance-based gaze estimation is believed to work well in real-world settings, but existing datasets have been collected under controlled laboratory conditions and methods have…
Prediction of Search Targets From Fixations in Open-World Settings
Hosnieh Sattar, Sabine Müller, Mario Fritz +1
Previous work on predicting the target of visual search from human fixations only considered closed-world settings in which training labels are available and predictions are perfor…
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…