296 citations · 1.4k across the 42 of their papers we have counts for
6 papers · 1 filter
HistoNet: Predicting size histograms of object instances
Kishan Sharma, Moritz Gold, Christian Zurbruegg +2
We propose to predict histograms of object sizes in crowded scenes directly without any explicit object instance segmentation. What makes this task challenging is the high density…
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner +1
We propose a new STAckable Recurrent cell (STAR) for recurrent neural networks (RNNs), which has fewer parameters than widely used LSTM and GRU while being more robust against vani…
From Google Maps to a Fine-Grained Catalog of Street trees
Steve Branson, Jan Dirk Wegner, David Hall +3
Up-to-date catalogs of the urban tree population are important for municipalities to monitor and improve quality of life in cities. Despite much research on automation of tree mapp…
Simultaneous multi-view instance detection with learned geometric soft-constraints
Ahmed Samy Nassar, Sebastien Lefevre, Jan D. Wegner
We propose to jointly learn multi-view geometry and warping between views of the same object instances for robust cross-view object detection. What makes multi-view object instance…
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
Sentinel-2 multi-spectral images collected over periods of several months were used to estimate vegetation height for Gabon and Switzerland. A deep convolutional neural network (CN…
Guided Super-Resolution as Pixel-to-Pixel Transformation
Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner +1
Guided super-resolution is a unifying framework for several computer vision tasks where the inputs are a low-resolution source image of some target quantity (e.g., perspective dept…