Atabak Dehban

Atabak Dehban

Ph.D. Students

Position: Ph.D. Student

Computer and Robot Vision Lab (VisLab)

moc.liamg@dkabata

Phone :+351 218418050

Office: 7.26

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Current Projects

Closed Projects

Acronym Name Funding Dates
[1] Atabak Dehban, ShanghangZhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor, "Learning Deep Features for Robotic Inference from Physical Interactions", IEEE Transactions on Cognitive and Developmental Systems, 2022
[2] Mihai Andries, Atabak Dehban, José Santos-Victor, "Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation", Frontiers in Neurorobotics, Vol. 14, May , 2020
[3] Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, Helder Araujo, "A robust and efficient framework for fast cylinder detection", Robotics and Autonomous Systems, Vol. 117, pp. 17, 2019 - PDF
[4] D. Yazdani, A. Sepas-Moghaddam, Atabak Dehban, N. Horta, "A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm", International Journal of Computational Intelligence and Applications, Vol. 15, Issue 2, June, 2016
[1] S. Mohammadi, Nuno Duarte, Dimitris Dimou, Y. Wang, Matteo Taiana, P. Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor, "3DSGrasp: 3D Shape-Completion for Robotic Grasp", Proc. of ICRA 2023 - IEEE International Conference on Robotics and Automation, London, UK (accepted), 2023
[2] Akhil John, Paul Schydlo, Atabak Dehban, Laura Santos, José Santos-Victor, "I Have Seen that Before: Memory Augmented Neural Network for Learning Affordances by Analogy", IEEE International Conference on Development and Learning (ICD, pp. 48-53, 2022
[3] João Balão, Atabak Dehban, Plinio Moreno, José Santos-Victor, "Benchmarking shape completion methods for robotic grasping", IEEE International Conference on Development and Learning (ICDL), pp. 223-230, 2022
[4] João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor, "SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics", Proc. of IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Prague, Czech Republic, 2021
[5] Manuel Serra, Atabak Dehban, Plinio Moreno, José Santos-Victor, "Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study", Proc. of IEEE International Conference on Robotics and Automation (ICRA), Paris, France, (Virtual Conference) , 2020
[6] Atabak Dehban, João Borrego, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, "The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures", Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019
[7] Atabak Dehban, Carlos Cardoso, Pedro Vicente, Alexandre Bernardino, José Santos-Victor, "Robotic Interactive Physics Parameters Estimator (RIPPE)", Proc. of IEEE International Conference on Developmental and Learning and on Epigenetic Robotics (ICDL-EpiRob). Oslo, Norway, 2019
[8] J. Borrego, Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, "A Generic Visual Perception Domain Randomisation Framework for Gazebo", Proc. of ICARSC 2018 - 18th IEEE International Conference on Autonomous Robot Systems and Competitions. Torres Vedras, Portugal, 2018
[9] Atabak Dehban, Lorenzo Jamone, A. Kampff, José Santos-Victor, "A Deep Probabilistic Framework for Heterogeneous Self-Supervised Learning of Affordances", Proc. of Humanoids 2017 - IEEE-RAS International Conference on Humanoid Robots, Birmingham, UK, 2017
[10] Rui Figueiredo, Atabak Dehban, Alexandre Bernardino, José Santos-Victor, H Araujo, "Shape-Based Attention for Identification and Localization of Cylindrical Objects", Proc. of IEEE ICDL-EPIROB 2017 - 7th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, Lisbon, Portugal, 2017
[11] Giovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, José Santos-Victor, "Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots", Proc. of IEEE ICDL-EPIROB 2017 - 7th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, Lisbon, Portugal, 2017
[12] Rui Figueiredo, João Avelino, Atabak Dehban, Alexandre Bernardino, Pedro Lima, H Araujo, "Efficient Resource Allocation for Sparse Multiple Object Tracking", Proc. of VISAPP 2017 - 12th International Conference on Computer Vision Theory and Applications, Porto, Portugal, 2017
[13] Atabak Dehban, Lorenzo Jamone, A. Kampff, José Santos-Victor, "A Moderately Large Size Dataset to Learn Visual Affordances of Objects and Tools using iCub Humanoid Robot", Proc. of ECCV 2016 - 14th European Conference on Computer Vision, Workshop on Acton and Anticipation for Visual Learning, Amsterdam, The Netherlands, 2016
[14] Atabak Dehban, Lorenzo Jamone, A. Kampff, José Santos-Victor, "Denoising Auto-encoders for Learning of Objects and Tools Affordances in Continuous Space", Proc. of ICRA 2016 - IEEE International Conference on Robotics and Automation, Stockholm, Sweden, 2016 - PDF
[1] Atabak Dehban, "Learning Object Affordances via Interaction and Observation", Ph.D. Thesis, Instituto Superior Técnico, Universidade de Lisboa, December, 2021
[1] André Santos , Atabak Dehban, José Santos-Victor, "Bin Packing Demonstrations Dataset", ICDL Short Paper, 2022 - PDF

In the same group

Catarina Barata
Alexandre Bernardino
Ayman Bnoussaad
Carlos Cardoso
Ana Rita Coias
Bruno Damas
Atabak Dehban
Bernardo Colaço Dias
Dimitris Dimou
Nuno Duarte
José Gaspar
José Gomes
Jorge Gonçalves
Lorenzo Jamone
Akhil John
Min Lee
Manuel Lopes
Plinio Moreno
Luka Lukić
João Maciel
Jorge Salvador Marques
Anastasiia Mikhailova
Luis Montesano
Nuno Moutinho
Mehmet Mutlu
Athira Nambiar
Milad Niknejad
Manuel Nunes
Nuno Pessanha Santos
Ricardo Ribeiro
David Ribeiro
Giampiero Salvi
Laura Santos
José Santos-Victor
Giovanni Saponaro
Paul Schydlo
Rita Verdelho
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