79 citations · 608 across the 98 of their papers we have counts for
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Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning
Manuel Martinez, Monica Haurilet, Ziad Al-Halah +2
The Earth Mover's Distance (EMD) computes the optimal cost of transforming one distribution into another, given a known transport metric between them. In deep learning, the EMD los…
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen
Collecting training images for all visual categories is not only expensive but also impractical. Zero-shot learning (ZSL), especially using attributes, offers a pragmatic solution…
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten +2
Maximum Causal Entropy (MCE) Inverse Optimal Control (IOC) has become an effective tool for modelling human behaviour in many control tasks. Its advantage over classic techniques f…
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten +2
Driver distraction strongly contributes to crash-risk. Therefore, assistance systems that warn the driver if her distraction poses a hazard to road safety, promise a great safety b…
How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes
Ziad Al-Halah, Rainer Stiefelhagen
Attribute based knowledge transfer has proven very successful in visual object analysis and learning previously unseen classes. However, the common approach learns and transfers at…
Deep Perceptual Mapping for Cross-Modal Face Recognition
M. Saquib Sarfraz, Rainer Stiefelhagen
Cross modal face matching between the thermal and visible spectrum is a much desired capability for night-time surveillance and security applications. Due to a very large modality…