Atabak Dehban - RankMe

31 papers A* 3A 2Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Powered Augmented Reality for Satellite Assembly, Integration and Test. AIxVR Alvaro Patricio, João Valente, Atabak Dehban, Ines Cadilha, Daniel Reis, Rodrigo Ventura
2025	J	`jnl`	CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models. CoRR João Valente, Atabak Dehban, Rodrigo M. M. Ventura
2025	J	`jnl`	FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA. CoRR Alvaro Patricio, Atabak Dehban, Rodrigo M. M. Ventura
2025	J	`jnl`	HERB: Human-augmented Efficient Reinforcement learning for Bin-packing. CoRR Gojko Perovic, Nuno Ferreira Duarte, Atabak Dehban, Gonçalo Teixeira, Egidio Falotico, José Santos-Victor
2024	J	`jnl`	AI-Powered Augmented Reality for Satellite Assembly, Integration and Test. CoRR Alvaro Patricio, João Valente, Atabak Dehban, Ines Cadilha, Daniel Reis, Rodrigo Ventura
2024	J	`jnl`	Ego-Foresight: Agent Visuomotor Prediction as Regularization for RL. CoRR Manuel S. Nunes, Atabak Dehban, Yiannis Demiris, José Santos-Victor
2024	—	`conf`	Learning the Sequence of Packing Irregular Objects from Human Demonstrations: Towards Autonomous Packing Robots. BioRob André Santos, Nuno Ferreira Duarte, Atabak Dehban, José Santos-Victor
2023	A*	`conf`	3DSGrasp: 3D Shape-Completion for Robotic Grasp. ICRA Seyed Saber Mohammadi, Nuno Ferreira Duarte, Dimitrios Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor
2023	J	`jnl`	3DSGrasp: 3D Shape-Completion for Robotic Grasp. CoRR Seyed Saber Mohammadi, Nuno Ferreira Duarte, Dimitris Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, Alessio Del Bue, José Santos-Victor
2023	J	`jnl`	Learning Deep Features for Robotic Inference From Physical Interactions. IEEE Trans. Cogn. Dev. Syst. Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor
2022	—	`conf`	Benchmarking shape completion methods for robotic grasping. ICDL João Balão, Atabak Dehban, Plinio Moreno, José Santos-Victor
2022	—	`conf`	I Have Seen that Before: Memory Augmented Neural Network for Learning Affordances by Analogy. ICDL Paul Schydlo, Laura Santos, Atabak Dehban, Akhil John, José Santos-Victor
2022	J	`jnl`	Robotic Learning the Sequence of Packing Irregular Objects from Human Demonstrations. CoRR André Santos, Atabak Dehban, José Santos-Victor
2021	A	`conf`	SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics. IROS João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor
2021	J	`jnl`	Sensorimotor Graph: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics. CoRR João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor
2020	A*	`conf`	Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study. ICRA Manuel Serra Nunes, Atabak Dehban, Plinio Moreno, José Santos-Victor
2020	J	`jnl`	Automatic Generation of Object Shapes With Desired Affordances Using Voxelgrid Representation. Frontiers Neurorobotics Mihai Andries, Atabak Dehban, José Santos-Victor
2019	J	`jnl`	A robust and efficient framework for fast cylinder detection. Robotics Auton. Syst. Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor, Helder Araújo
2019	J	`jnl`	Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study. CoRR Manuel Serra Nunes, Atabak Dehban, Plinio Moreno, José Santos-Victor
2019	—	`conf`	Robotic Interactive Physics Parameters Estimator (RIPPE). ICDL-EPIROB Atabak Dehban, Carlos Cardoso, Pedro Vicente, Alexandre Bernardino, José Santos-Victor
2019	A	`conf`	The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures IROS Atabak Dehban, João Borrego, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor
2018	—	`conf`	A generic visual perception domain randomisation framework for Gazebo. ICARSC João Borrego, Rui Figueiredo, Atabak Dehban, Plinio Moreno, Alexandre Bernardino, José Santos-Victor
2018	J	`jnl`	Applying Domain Randomization to Synthetic Data for Object Category Detection. CoRR João Borrego, Atabak Dehban, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor
2018	J	`jnl`	Automatic generation of object shapes with desired functionalities. CoRR Mihai Andries, Atabak Dehban, José Santos-Victor
2018	J	`jnl`	Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots. CoRR Giovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, José Santos-Victor
2017	—	`conf`	A deep probabilistic framework for heterogeneous self-supervised learning of affordances. Humanoids Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor
2017	—	`conf`	Efficient Resource Allocation for Sparse Multiple Object Tracking. VISIGRAPP (6: VISAPP) Rui Figueiredo, João Avelino, Atabak Dehban, Alexandre Bernardino, Pedro U. Lima, Helder Araújo
2017	—	`conf`	Learning at the ends: From hand to tool affordances in humanoid robots. ICDL-EPIROB Giovanni Saponaro, Pedro Vicente, Atabak Dehban, Lorenzo Jamone, Alexandre Bernardino, José Santos-Victor
2017	—	`conf`	Shape-based attention for identification and localization of cylindrical objects. ICDL-EPIROB Rui Figueiredo, Atabak Dehban, Alexandre Bernardino, José Santos-Victor, Helder Araújo
2016	J	`jnl`	A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm. Int. J. Comput. Intell. Appl. Danial Yazdani, Alireza Sepas-Moghaddam, Atabak Dehban, Nuno Horta
2016	A*	`conf`	Denoising auto-encoders for learning of objects and tools affordances in continuous space. ICRA Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor