35 citations · 52 across the 13 of their papers we have counts for
6 papers · 1 filter
HAT: Hypothesis-Anchored Tracking for Video Monocular Spacecraft Pose Estimation
André Lopo, Atabak Dehban, Rodrigo Ventura
Monocular 6-DoF pose estimation of non-cooperative targets is important for on-orbit servicing and debris removal. A single-image estimator can confuse near-symmetric spacecraft or…
CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
João Valente, Atabak Dehban, Rodrigo Ventura
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities across various multimodal tasks. They continue, however, to struggle with triv…
FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
Alvaro Patricio, Atabak Dehban, Rodrigo Ventura
Recent advances in diffusion-based generative models have demonstrated significant potential in augmenting scarce datasets for object detection tasks. Nevertheless, most recent mod…
AI-Powered Augmented Reality for Satellite Assembly, Integration and Test
Alvaro Patricio, Joao Valente, Atabak Dehban +3
The integration of Artificial Intelligence (AI) and Augmented Reality (AR) is set to transform satellite Assembly, Integration, and Testing (AIT) processes by enhancing precision,…
Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study
Manuel Serra Nunes, Atabak Dehban, Plinio Moreno +1
A defining characteristic of intelligent systems is the ability to make action decisions based on the anticipated outcomes. Video prediction systems have been demonstrated as a sol…
Applying Domain Randomization to Synthetic Data for Object Category Detection
João Borrego, Atabak Dehban, Rui Figueiredo +3
Recent advances in deep learning-based object detection techniques have revolutionized their applicability in several fields. However, since these methods rely on unwieldy and larg…