Atabak Dehban

According to our database1, Atabak Dehban authored at least 14 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation.
Frontiers Neurorobotics, 2020

Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
A robust and efficient framework for fast cylinder detection.
Robotics Auton. Syst., 2019

The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures<sup>*</sup>.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robotic Interactive Physics Parameters Estimator (RIPPE).
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018
Applying Domain Randomization to Synthetic Data for Object Category Detection.
CoRR, 2018

Automatic generation of object shapes with desired functionalities.
CoRR, 2018

A generic visual perception domain randomisation framework for Gazebo.
Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

2017
Efficient Resource Allocation for Sparse Multiple Object Tracking.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Learning at the ends: From hand to tool affordances in humanoid robots.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Shape-based attention for identification and localization of cylindrical objects.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

A deep probabilistic framework for heterogeneous self-supervised learning of affordances.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016
A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm.
Int. J. Comput. Intell. Appl., 2016

Denoising auto-encoders for learning of objects and tools affordances in continuous space.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016


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