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Shengkun Li

Researcher at University at Albany, SUNY

Publications -  3
Citations -  829

Shengkun Li is an academic researcher from University at Albany, SUNY. The author has contributed to research in topics: Video tracking & Object (computer science). The author has an hindex of 2, co-authored 3 publications receiving 707 citations.

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Book ChapterDOI

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan, +140 more
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
Book ChapterDOI

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Michael Felsberg, +76 more
TL;DR: The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance.

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan, +138 more