Human-Centric Computing in the Age of AI Track (part 2)

Hosted by Prof. Siyu Tang and Prof. Philipp Fürnstahl

Organizer and Session Chair: Dr. Manuel Kaufmann, Dr. Flora Vajda, Dr. Christina Tsalicoglou

In Human-Centric Computing we aim to build methods and representations to  better understand how humans move within the physical world and interact with it.  Progress in this domain offers to unlock a number of appealing applications. In this track we set out to highlight these latest advances for mixed reality applications, where the physical world can be reconstructed and augmented with interactive features and generated objects. For instance, medical AR applications can improve the learning process for medical professionals, telepresence can enable more efficient remote meetings, and AR can provide fascinating immersive experiences for entertainment. Further, we provide segments on biomedical applications that benefit from human-like machine perception such as personalized health assistants that can, e.g., automatically diagnose and prevent movement pathologies, support cost-effective rehabilitation in patient’s homes, or provide an expert level fitness coach from the comfort of people’s smartphones.

Learning Objectives The field of Human-Centric Computer Vision is very diverse. The goal of this workshop is to give the audience a broad overview of:

a) which aspects of the human state practitioners in academia and industry are interested in modeling,

b) what kind of technology is used to capture the physical world in the first place, and

c) the applications of mixed reality.

Professionals from industry, academia, and start-ups will present their latest research, discuss challenges, and outline future prospects around the topic, showcasing the expertise offered by institutions in and around Zurich.

We will close the track with demos, providing real-word examples of what is possible with the current technologies in the field and a panel discussion.

SCHEDULE

Format: 20-minute talks, with 5 minutes of questions

09:30 - 09:55

Speaker: Prof. Siyu Tang

Affiliation: Professor, Institute of Visual Computing, Department of Computer Science, ETH

Zürich

09:55 - 10:20

Speaker: Prof. em. Joachim Buhmann

Affiliation: Professor Emeritus, Institute for Machine Learning, Department of Computer Science, ETH

Zürich

10:20 - 10:45

Speaker: Dr. Artsiom Sanakoyeu

Affiliation: Staff Research Scientist GenAI, Meta

10:45 - 11:10

Speaker: Prof. Dr. Philipp Fürnstahl

Affiliation: Professor, Research in Orthopedic Computer Science (ROCS) and Operating Room X (OR-X), University Hospital Balgrist, University of Zurich

11:10 - 11:35

Speaker: PD Dr. med. Hermes Miozzari

Affiliation: Senior Consultant, Head of Degenerative Knee Team, Division of Orthopaedics and Musculoskeletal Trauma Care, Geneva University Hospitals

11:35 - 12:00

Speaker: Dr. Seyed-Ahmad Ahmadi

Affiliation: Senior Deep Learning Solution Architect – Healthcare, NVIDIA

12:00 - 13:00

Lunch Break

13:00 - 13:25

Speaker: PD Dr. Federico Tombari

Affiliation: Senior Staff Research Scientist and Manager at Google, Lecturer at TU Munich

13:30 - 14:30

Panel Discussion

Moderator: Hanna Brahme, ETH AI Center

Panelists:

• Prof. Joachim Buhmann (ETH Zurich)
• Prof. Philipp Fürnstahl (UZH, University Hospital Balgrist)
• PD Dr. Hermes Miozzari (Geneva University Hospitals)
• Dr. Artsiom Sanakoyeu (Meta)
• PD Dr. Federico Tombari (Google, TU Munich)