Faculty Candidate
Naomi Fitter
Postdoctoral Scholar,
USC

Faculty Candidate Talk: Design and Evaluation of Everyday Interactive Robots

Gates 6115

Areas of Interest: Human-Computer Interaction and Robotics Host: Aaron Steinfeld Admin Contact: Peggy Martin pm1e@andrew.cmu.edu   As robots appear in more everyday environments, they will have new opportunities to enhance the lives of the people around them. Despite this potential gain, modern robots lack many of the necessary skills to effectively interact with people. In particular, almost all [...]

Faculty Candidate
David Braun
Assistant Professor (PI)
Dynamics & Control Laboratory, Singapore University of Technology and Design

Faculty Candidate: David Braun

GHC 6115

Areas of interest: Robotics, Optimal Control, System Dynamics, Impedance Control, Variable Impedance Actuators Host: Hartmut Geyer Admin Contact: Keyla Cook keylac@andrew.cmu.edu

Faculty Candidate
Ling-Qi Yan
PhD candidate
EECS, UC Berkeley

Faculty Candidate: Ling-Qi Yan

GHC 6115

Areas of Interest: Physically-based rendering, appearance modeling, molumetric scattering, light transport algorithms, sampling & reconstruction theory Host: Srinivasa Narasimhan Admin Contact: Nora Kazour nkazour@andrew.cmu.edu

Faculty Candidate
Pulkit Agrawal
PhD candidate
Computer Science, UC Berkeley

Faculty Candidate: Computational Sensorimotor Learning

NSH 3305

Areas of Interest: Artificial Intelligence Host: Abhinav Gupta Admin Contact: Chris Downey cdowney@andrew.cmu.edu     Abstract: An open question in artificial intelligence is how to endow agents with common sense knowledge that humans naturally seem to possess. A prominent theory in child development posits that human infants gradually acquire such knowledge by the process of experimentation. [...]

Faculty Candidate
Alessandro Roncone
Postdoctoral Scholar
Social Robotics Lab, Yale University

Faculty Candidate: Designing interactive algorithms for human-robot collaboration

NSH 3305

Areas of Interest: Robot control, human-robot interaction, artificial intelligence Abstract:   We are on the cusp of a fundamental revolution in how robotics at large will be consumed by and assimilated into our everyday life. In the next decade, state of the art robot platforms will become easier to deploy, more accessible to purchase, and [...]

Faculty Candidate
Judy Hoffman
Computer Science Postdoctoral Researcher
UC Berkeley

Faculty Candidate Talk: Adaptive Adversarial Learning for a Diverse Visual World

Newell-Simon Hall 3305

Areas of Interest: Computer vision and machine learning Abstract Automated visual recognition is in increasingly high demand. However, despite tremendous performance improvement in recent years, state-of-the-art deep visual models learned using large-scale benchmark datasets still fail to generalize to the diverse visual world. In this talk I will discuss a general purpose semi-supervised learning algorithm, [...]

Faculty Candidate
Cathy Wu
PhD candidate
EECS, BAIR Lab, BDD, UC Berkeley

Faculty Candidate: Mixed-autonomy mobility: scalable learning and optimization

Newell-Simon Hall 3305

Areas of Interest: Learning, optimization, and control for mixed-autonomy mobility Abstract: How will self-driving cars change urban mobility? This talk describes contributions in machine learning and optimization critical for enabling mixed-autonomy mobility, the gradual and complex integration of automated vehicles into the existing transportation system. The talk first explores and quantifies the potential impact of [...]

Faculty Candidate
Manolis Savva
Postdoctoral Research Associate
Graphics Lab, Vision Lab, CS Department, Princeton University

Faculty Candidate: Human-centric Understanding of 3D Environments

Newell-Simon Hall 3305

Areas of Interest: Human-centric 3D Scene Analysis, Scene synthesis for 3D content creation and learning through simulation, Data visualization   Abstract: Creating 3D environments is hard. Experts spend much time and effort using complex software to create virtual 3D interiors. This 3D content creation bottleneck limits the use of virtual environments for applications in entertainment, [...]

Faculty Candidate
David Fouhey
Postdoctoral Fellow,
EECS Department,, UC Berkeley

Faculty Candidate: Recovering a Functional and Three Dimensional Understanding of Images

NSH 3305

Areas of Interest: 3D Vision Abstract: What does it mean to understand an image? One common answer in computer vision has been that understanding means naming things: this part of the image corresponds to a refrigerator and that to a person, for instance. While important, the ability to name is not enough: humans can effortlessly [...]

Faculty Candidate
Katie Bouman
Postdoctoral Fellow
Event Horizon Telescope

Faculty Candidate: Katie Bouman

Gates 6115

Areas of Interest: Computational imaging, computational photography, computer vision, image and video processing, inverse problems, machine learning Host: Srinivasa Narasimhan Admin Contact: jessb@andrew.cmu.edu