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A Generative Appearance Model for End-to-end Video Object Segmentation
Joakim Johnander, Martin Danelljan, Emil Brissman +2
One of the fundamental challenges in video object segmentation is to find an effective representation of the target and background appearance. The best performing approaches resort…
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu +1
Abnormal event detection in video is a challenging vision problem. Most existing approaches formulate abnormal event detection as an outlier detection task, due to the scarcity of…
ATOM: Accurate Tracking by Overlap Maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan +1
While recent years have witnessed astonishing improvements in visual tracking robustness, the advancements in tracking accuracy have been limited. As the focus has been directed to…
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
Generally, convolutional neural networks (CNNs) process data on a regular grid, e.g. data generated by ordinary cameras. Designing CNNs for sparse and irregularly spaced input data…
Synthetic data generation for end-to-end thermal infrared tracking
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer +2
The usage of both off-the-shelf and end-to-end trained deep networks have significantly improved performance of visual tracking on RGB videos. However, the lack of large labeled da…
Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
In most computer vision applications, convolutional neural networks (CNNs) operate on dense image data generated by ordinary cameras. Designing CNNs for sparse and irregularly spac…
Unveiling the Power of Deep Tracking
Goutam Bhat, Joakim Johnander, Martin Danelljan +2
In the field of generic object tracking numerous attempts have been made to exploit deep features. Despite all expectations, deep trackers are yet to reach an outstanding level of…
Density Adaptive Point Set Registration
Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan +2
Probabilistic methods for point set registration have demonstrated competitive results in recent years. These techniques estimate a probability distribution model of the point clou…