TrackingNet Highlights

Generic Object Tracking

May 21, 2019

TrackingNet Highlights

Generic Object Tracking

May 21, 2019

Silvio Giancola

Research Scientist

Silvio Giancola is a Research Scientist at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Bernard Ghanem in the Image and Video Understanding Laboratory (IVUL), part of the Visual Computing Center (VCC).

Publications

Efficient Tracking Proposals using 2D-3D Siamese Networks on LIDAR

Tracking vehicles in LIDAR point clouds is a challenging task due to the sparsity of the data and the dense search space. The lack of …

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

in ArXiv

Preprint Project: Autonomous Navigation Project: Generic Object Tracking Project: 3D Understanding

Leveraging Shape Completion for 3D Siamese Tracking

Point clouds are challenging to process due to their sparsity, therefore autonomous vehicles rely more on appearance attributes than …

Silvio Giancola, Jesus Zarzar, Bernard Ghanem

in CVPR’19

Preprint PDF Code Project: Autonomous Navigation Project: Generic Object Tracking Project: 3D Understanding Poster Video

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking

Despite the numerous developments in object tracking, further improvement of current tracking algorithms is limited by small and mostly …

Matthias Mueller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem

in ECCV’18

PDF Code Dataset Project: Generic Object Tracking Poster