Special Talk
Senior Systems Scientist
Robotics Institute,
Carnegie Mellon University

Making AI trustworthy and understandable by clinicians

Newell-Simon Hall 4305

Abstract:  Understandable-AI techniques facilitate to use of AI as a tool by human experts, giving humans insight into how AI decisions are made thereby helping experts discern which AI predictions should or shouldn’t be trusted.  Understandable techniques may be especially useful for applications with insufficient validation data for regulatory approval, for which human experts must remain the final decision [...]

Special Talk
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Perceiving Objects and Interactions in 3D

Newell-Simon Hall 4305

Abstract: We observe and interact with myriad of objects in our everyday lives, from cups and bottles to hammers and tennis rackets. In this talk, I will outline our group’s efforts towards understanding these objects and our everyday interactions with them in 3D. I will first focus on scaling 3D prediction for isolated objects across [...]

Faculty Events
Associate Professor
Robotics Institute,
Carnegie Mellon University

Geometry Processing and Differential Geometry

Newell-Simon Hall 3305

Abstract: Basic representations for three-dimensional geometry have a profound effect on what can be achieved downstream, in a variety of disciplines (physical simulation, computational design, geometric learning, etc.).  In this talk I will discuss recent efforts in our group to revisit fundamental choices in the way we represent digital geometry, and solve geometric equations.  The guiding [...]