3D Understanding
3D Understanding
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
SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation
We introduce the idea of using learnable neighbor-to-grid soft assignment in grid-based aggregation functions for the task of 3D …
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Multi-view projection methods have shown the capability to reach state-of-the-art performance on 3D shape recognition. Most advances in …
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks
Point cloud architecture design has become a crucial problem for 3D deep learning. Several efforts exist to manually design …
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
In autonomous driving pipelines, perception modules provide a visual understanding of the surrounding road scene. Among the perception …
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 …
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 …
Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline
In this paper, we show how absolute orientation measurements provided by low-cost but high-fidelity IMU sensors can be integrated into …
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras
In this work, we propose a method for three-dimensional (3D) reconstruction of wide crime scene, based on a Simultaneous Localization …
