1.8k citations · 3.8k across the 19 of their papers we have counts for
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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…
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…
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…
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…