From the 1 of 6 linked papers with an AI index.
6 papers
Learning to Understand Body Language from Flight through Robust 3D Avatar Placing
Dragos Costea, Alina Marcu, Cristina Lazar +1
The paper presents Drones2BodyLanguage, a dataset that inserts 3D human avatars with specific communicative intents into real 4K drone footage using a lightweight geometric world m…
Real-time body pose non-verbal communication with a consistency-based reliability measure
Alina Marcu, Dragos Costea, Cristina Lazar +1
Body movement communicates intent at distances and in conditions where neither the face, nor speech can be captured. We study the recognition of communicative intent from 2D body p…
Non-verbal Real-time Human-AI Interaction in Constrained Robotic Environments
Dragos Costea, Alina Marcu, Cristina Lazar +1
We study the ongoing debate regarding the statistical fidelity of AI-generated data compared to human-generated data in the context of non-verbal communication using full body moti…
Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones
Sebastian-Ion Nae, Mihai-Eugen Barbu, Sebastian Mocanu +1
Autonomous agents such as indoor drones must learn new object classes in real-time while limiting catastrophic forgetting, motivating Class-Incremental Learning (CIL). However, mos…
Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
Sebastian Mocanu, Emil Slusanschi, Marius Leordeanu
This paper presents a vision-only autonomous flight system for small UAVs operating in controlled indoor environments. The system combines semantic segmentation with monocular dept…
Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control
Sebastian Mocanu, Sebastian-Ion Nae, Mihai-Eugen Barbu +1
This work introduces a self-supervised neuro-analytical, cost efficient, model for visual-based quadrotor control in which a small 1.7M parameters student ConvNet learns automatica…