Pablo Ruiz Ponce
PhD Student
Fun with AI
Contributions (2025)
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Contribution Graph (2025)
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in2IN
[CVPRW 2024] Official Implementation of "in2IN: Leveraging individual Information to Generate Human INteractions".
POSEIDON
[Sensors] Official Implementation of "Poseidon: A data augmentation tool for small object detection datasets in maritime environments".
TFG
This thesis presents the research and experimentation carried out for the task of detecting small vessels and shipwrecked people in seaborne environments. We aim to precisely provide a real-time detection on changing conditions with a significant scale variance on the detections. In order to achieve this goal, different deep learning techniques on diverse datasets have been tested.
poetry-generation
This deep learning project has the objective to generate poetry in Spanish given the first characters of the poem. The prediction is character level-based and the dataset used to train the model contains more than 5000 poems from the most relevant authors of Spanish poetry.
pong-rl
This deep learning project has the objective to teach an agent to play Pong using reinforcement learning. The training environment has been built on Unity using the ML-Agents package and the PPO architecture.