4 accepted papers
Object re-identification and tracking lay the foundation for various computer vision and robotics applications. In this study, we propose a method for personalizing a neural network to enhance and continuously adapt the re-identification of a specific target. Employing an unsupervised continual lear
In scenarios of Human-Robot Interaction (HRI), it is often assumed that the robot should cooperate with the closest individual or that only one person is present. However, in real-life situations, such as shop floor operations, this assumption may not hold. Thus, it becomes necessary for a robot to…
Teleoperation offers the possibility to combine human intelligence with robot power and endurance, making it a perfect solution for hostile-for-human environments. Nonetheless, when it concerns prolonged and repetitive operations, classical teleoperation interfaces that replicate one-to-one human co
Deep models are state-of-the-art or many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but little is known about the evidence used to make such decisions. Grounding decisions made by deep networks has been studied…