Publications

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

Exploring Open-Vocabulary Models for Category-Free Detection

MixUDA: From Synthetic to Real Object Detection

A fine-tuning approach based on spatio-temporal features for few-shot video object detection

Enhancing few-shot object detection through pseudo-label mining

Downsampling GAN for Small Object Data Augmentation

Few-Shot Image Classification for Automatic COVID-19 Diagnosis

Relation networks for few-shot video object detection

A few‑shot approach for COVID‑19 screening in standard and portable chest X‑ray images

Spatio-temporal convolutional neural networks for video object detection

A full data augmentation pipeline for small object detection based on generative adversarial networks

Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos

Spatio-Temporal Object Detection from UAV On-Board Cameras

Short-term anchor linking and long-term self-guided attention for video object detection

RoI Feature Propagation for Video Object Detection

Autonomous navigation for UAVs managing motion and sensing uncertainty

Deep Learning para detección y tracking de objetos en vídeo

Reconstrucción 3D densa de escenas utilizando una cámara monocular