• Attention-Enhanced Sensorimotor Object Recognition 

      Thermos S., Papadopulos G.T., Daras P., Potamianos G. (2018)
      Sensorimotor learning, namely the process of understanding the physical world by combining visual and motor information, has been recently investigated, achieving promising results for the task of 2D/3D object recognition. ...
    • A Deep Learning Approach to Object Affordance Segmentation 

      Thermos S., Daras P., Potamianos G. (2020)
      Learning to understand and infer object functionalities is an important step towards robust visual intelligence. Significant research efforts have recently focused on segmenting the object parts that enable specific types ...
    • Joint Object Affordance Reasoning and Segmentation in RGB-D Videos 

      Thermos S., Potamianos G., Daras P. (2021)
      Understanding human-object interaction is a fundamental challenge in computer vision and robotics. Crucial to it is the ability to infer 'object affordances' from visual data, namely the types of interaction supported by ...