Videos

This video shows TIAGo, a robot by OpenDR partner “PAL Robotics”, which is deployed to offer assistance and support within a healthcare facility. The robot’s capabilities are showcased through specific tasks based on the use case specifications.

This is the video presentation of the paper “Active Face Recognition through View Synthesis” on the European Signal Processing Conference (EUSIPCO 2023),  by OpenDR researchers.

This is the video presentation of the paper “Active Face Recognition through View Synthesis” on the European Signal Processing Conference (EUSIPCO 2023),  by OpenDR researchers.


This is the video presentation of the paper “Efficient Feature Extraction for Non-Maximum Suppression in Visual Person Detection” on the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023),  by OpenDR researchers.

This video shows some of the results obtained by the partners of the project.

This is the video presentation of the paper “Continual Transformers Redundancy Free Attention for Online Inference” on the Neural Information Processing Systems (Neural IPS) Workshops 2022,  by OpenDR researchers.

This is the video presentation of the paper “Continual 3D Convolutional Neural Networks for Real-time Processing of Videos” on the European Conference on Computer Vision (ECCV), 2022,  by OpenDR researchers.

Recorded talk and video presentation entitled “Deep Learning models for efficient video-based action recognition” by Alexandros Iosifidis, Associate Professor, Aarhus University. The talk was given in the frameworks of “Open Deep Learning Toolkit for Robotics: Towards Democratizing Artificial Intelligence” which was organised by OpenDR under IROS 2021.

Recorded talk and video presentation entitled “Robotic grasping in Agile Production” by Roel S. Pieters, Associate Professor, Tampere University. The talk was given in the frameworks of “Open Deep Learning Toolkit for Robotics: Towards Democratizing Artificial Intelligence” which was organised by OpenDR under IROS 2021.

Recorded talk and video presentation entitled “Deep Learning and AI Applications in the Webots Robot Simulator” by Stefania Pedrazzi, Software Engineer, Cyberbotics Ltd. The talk was given in the frameworks of “Open Deep Learning Toolkit for Robotics: Towards Democratizing Artificial Intelligence” which was organised by OpenDR under IROS 2021.

Recorded talk and video presentation entitled “How to benefit from learning in predictive control” by Laura Ferranti, Assistant Professor, Delft University of Technology. The talk was given in the frameworks of “Open Deep Learning Toolkit for Robotics: Towards Democratizing Artificial Intelligence” which was organised by OpenDR under IROS 2021.

This is the video presentation of the paper “Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation” on the IEEE International Conference on Multimedia and Expo (ICME), 2021, by OpenDR researchers.

This is the video presentation of the paper “Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization” on the 22nd International Conference on Engineering Applications of Neural Networks (EANN 2021), by OpenDR researchers.


This is the video presentation of the paper “Leveraging Active Perception for Improving Embedding-based Deep Face Recognition” on the IEEE International Workshop on Machine Learning for Signal Processing (MMSP 2020), by OpenDR researchers.


This is the video presentation of the paper “Quadratic Mutual Information Regularization In Real-Time Deep CNN Models (MLSP 2020)” on the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), by OpenDR researchers.


This is the video presentation of the paper “Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits” on the ΙΕΕΕ International Workshop on Multimedia Signal Processing (MMSP 2020), by OpenDR researchers.


This is the video presentation of the OpenDR H2020 project. (Deliverable D9.4). It provides a concise overview of the objectives, the aim, the partners of the project, the expected impact and other interesting information.



This is the video presentation of the paper “Heterogenous Knowledge Distillation Using Information Flow Modeling” on the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), by OpenDR researchers.

This is the video presentation of the paper “Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting” on the IEEE International Conference on Multimedia and Expo (ICME 2020), by OpenDR researchers.

This is the video presentation of the paper “Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics” on the 16th International Conference on Artificial Intelligence Applications and Innovations (ΑΙΑΙ 2020), by OpenDR researchers.