Videos

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.