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Research focuses on convolutional neural network models and computer vision techniques (geometry-based methods, fusion, …)

On geometric aspects, our research focuses on 3D localization and dense reconstruction from heterogeneous videos from one or more cameras.

The learning-based models we work on are deep neural networks for classification, instance segmentation and object detection. We are particularly interested in the following scientific problems: