1 citations · 1 across the 4 of their papers we have counts for
4 papers
Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects
H. Ayoobi, H. Kasaei, M. Cao +2
Local-HDP (for Local Hierarchical Dirichlet Process) is a hierarchical Bayesian method that has recently been used for open-ended 3D object category recognition. This method has be…
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]
Hamed Ayoobi, Nico Potyka, Francesca Toni
Neural networks (NNs) have various applications in AI, but explaining their decisions remains challenging. Existing approaches often focus on explaining how changing individual inp…
GraspCaps: A Capsule Network Approach for Familiar 6DoF Object Grasping
Tomas van der Velde, Hamed Ayoobi, Hamidreza Kasaei
As robots become more widely available outside industrial settings, the need for reliable object grasping and manipulation is increasing. In such environments, robots must be able…
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios
H. Ayoobi, H. Kasaei, M. Cao +2
We introduce a non-parametric hierarchical Bayesian approach for open-ended 3D object categorization, named the Local Hierarchical Dirichlet Process (Local-HDP). This method allows…