In conjunction with ECCV, Sept. 9th, 2018, Munich
The fast and broad progresses in AI has not only enabled great advances in the analysis of human behavior but has also opened new possibilities for generating realistic human-like behavioral data. Notable examples relate to the synthesis of realistic-looking images of people, to the generation of human-sounding speech as well as to the design of robots that are more and more accurate in reading and mimicking human emotions, such as Hanson Robotics’ Sophia and SoftBank’s Pepper. The workshop will focus on recent advances and novel methodologies for generating data containing human-like behaviour.
The HBU Workshops, previously organized as satellite to ICPR'10, AMI'11, IROS'12, ACM Multimedia'13, ECCV'14 and UBICOMP'15, ACM Multimedia'16 and FG'18 Conferences, have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform.