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- KTH Royal Institute of TechnologySE16 papers
- Thinfilm (Sweden)SE13 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- University of OsloNO11 papers
- University of LiverpoolGB10 papers
- Australian National UniversityAU9 papers
- Chalmers University of TechnologySE9 papers
- Norwegian University of Science and TechnologyNO9 papers
- Adam Mickiewicz University in PoznańPL8 papers
- Hungarian Academy of SciencesHU8 papers
- HUN-REN Wigner Research Centre for PhysicsHU8 papers
- National University of Science and TechnologyRU7 papers
10 papers · 1 filter
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2
Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combi…
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
Apostolia Tsirikoglou, Joel Kronander, Magnus Wrenninge +1
We present an overview and evaluation of a new, systematic approach for generation of highly realistic, annotated synthetic data for training of deep neural networks in computer vi…
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg +3
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmenta…
Deep Motion Features for Visual Tracking
Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan +1
Robust visual tracking is a challenging computer vision problem, with many real-world applications. Most existing approaches employ hand-crafted appearance features, such as HOG or…
Discriminative Scale Space Tracking
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan +1
Accurate scale estimation of a target is a challenging research problem in visual object tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the t…
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan +1
Tracking-by-detection methods have demonstrated competitive performance in recent years. In these approaches, the tracking model heavily relies on the quality of the training set.…