Siamese Tracker regularizd for 3D Shape Completion

Autonomous Navigation

Siamese Tracker regularizd for 3D Shape Completion

Autonomous Navigation

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Silvio Giancola
Postdoctoral Research Fellow

Silvio Giancola is a Postdoctoral Research Fellow in Computer Vision 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).

Posts

I attended CPVR19 in Long Beach, CA and presented Leveraging Shape Completion for 3D Siamese Tracking as a poster.

Publications

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 …

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