The human side of computer vision
Event Location: NSH 1507Bio: Olga Russakovsky (http://cs.cmu.edu/~orussako) is a postdoctoral research fellow at Carnegie Mellon University. She recently completed a PhD in computer science at Stanford advised by Prof. Fei-Fei Li. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She led the ImageNet Large Scale Visual Recognition Challenge effort [...]
Online Hierarchical Optimization for Humanoid Control
Event Location: NSH 3305Abstract: This thesis presents an online approach for controlling humanoid robots using hierarchical optimization. While our primary focus is to develop a fast and robust walking controller that is able to follow desired foot steps, full body manipulation capability is also achieved. The proposed hierarchical system consists of three levels: a high [...]
Algorithms and challenges in scaling up autonomous flight
Event Location: NSH 1305Bio: Adam Bry is co-founder and CEO of Skydio, a venture backed drone startup based in the bay area. Prior to Skydio he helped start Project Wing at Google[x] where he worked on the flight algorithms and software. He holds a SM in Aero/Astro from MIT and a BS in Mechanical Engineering [...]
Brighter, Faster, Cheaper: Finding or Creating Light Fields for Visual Computing
Event Location: NSH 1507Bio: Robert Pless is a Professor of Computer Science and Engineering at Washington University in St. Louis, where he founded and directs the Media and Machines Lab. His research focus are big-data and geometric approaches to Visual Computing, with applications to social justice and environmental measurement. Dr. Pless has a Bachelors Degree [...]
Learning Models for Robot Decision Making
Event Location: NSH 1305Bio: Thomas Howard is an assistant professor in the Department of Electrical and Computer Engineering and the Department of Computer Science. He is also a member of the Institute for Data Science and holds a secondary appointment in the Department of Biomedical Engineering. Previously he held appointments as a research scientist and [...]
Collective Insight: Crowd-driven Image Understanding
Event Location: NSH 1507Bio: Genevieve is a PhD Candidate in Computer Vision at Brown University. Her work on crowd-driven visual classification was recently awarded runner-up for Best Paper at the AAAI Conference on Human Computation (HCOMP). She built and maintains the SUN Attribute dataset, a widely used resource for scene understanding. Genevieve received her master's [...]
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Exploiting the Environment to Improve Autonomy: Robots in Geophysical Flows
Event Location: NSH 1305Bio: M. Ani Hsieh is an Associate Professor in the Mechanical Engineering & Mechanics Department at Drexel University. She received a B.S. in Engineering and B.A. in Economics from Swarthmore College in 1999 and a PhD in Mechanical Engineering from the University of Pennsylvania in 2007. Her current work focuses on developing [...]
Towards A Physical and Human-Centric Understanding of Images
Event Location: Newell Simon Hall 1507Bio: David Fouhey is a Ph.D. student at the Robotics Institute of Carnegie Mellon University, where he is advised by Abhinav Gupta and Martial Hebert. His research interests include computer vision and machine learning with a particular focus on scene understanding. David's work has been supported by both NSF and [...]