6 citations · 12 across the 4 of their papers we have counts for
4 papers
Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages
Felix Schneider, Maria Gogolev, Sven Sickert +1
Tokenization and sub-tokenization based models like word2vec, BERT and the GPTs are the state-of-the-art in natural language processing. Typically, these approaches have limitation…
Let's Get the FACS Straight -- Reconstructing Obstructed Facial Features
Tim Büchner, Sven Sickert, Gerd Fabian Volk +3
The human face is one of the most crucial parts in interhuman communication. Even when parts of the face are hidden or obstructed the underlying facial movements can be understood.…
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks
Clemens-Alexander Brust, Sven Sickert, Marcel Simon +2
Neural networks and especially convolutional neural networks are of great interest in current computer vision research. However, many techniques, extensions, and modifications have…
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding
Clemens-Alexander Brust, Sven Sickert, Marcel Simon +2
Classifying single image patches is important in many different applications, such as road detection or scene understanding. In this paper, we present convolutional patch networks,…