open deep learning toolkit for robotics
welcome to opendr!
Harness Deep Learning for advanced perception and cognition
OpenDR will develop, train, deploy and evaluate deep learning models that improve the technical capabilities of the core technologies beyond the current state of the art.
It will enable a greater range of robotics applications that can be demonstrated at TRL3 and above, thus lowering the technical barriers within the prioritized application areas.
Tweets by OpenDR_eu
The paper entitled "Progressive spatio-temporal graph convolutional network for skeleton-based human action recognition" will be presented today at @ieeeICASSP in the session "MLSP-17:Graph Neural Net...Read More
A new scientific paper by #OpenDR team was just accepted at #IISA2021 conference, entitled "Semantic Scene Segmentation for Robotics Applications"! 📜Preprint: 🌎Web: https://t.co/N0gAR9vmPP#a...Read More
Two more scientific papers by #OpenDR will be presented this June at @ieeeICASSP and at #EANN2021 conferences ! More details will be available soon. ✔Visit our website: ✔Coordinator's website: h...Read More
Congrats to Vedant Shah (@veds_12) & Nikolaos Kokkinis for having been accepted at @gsoc & will work with our research team on #deepbots project! Deepbots: Vedant's project:https://t.co/9iJoJ9...Read More
Read here the updated version of the paper "Supervised Domain Adaptation: A Graph Embedding Perspective & a Rectified Experimental Protocol" with additional experiments & visualizations! 📜P...Read More
A new scientific paper by #OpenDR, entitled "Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization" was just accepted at the 22nd International #EANN Conferen...Read More