VASC Seminar
Tali Dekel
Research Scientist
Google Inc.

Exploring and Modifying Spatial Variations in a Single Image

Event Location: Gates Hillman 5222Bio: Tali Dekel is currently a Research Scientist at Google, working on developing computer vision and computer graphics algorithms. Before Google, she was a Postdoctoral Associate at the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. William T. Freeman. Tali completed her Ph.D studies at the school [...]

RI Seminar
Ibrahim Volkan Isler
Associate Professor
University of Minnesota

Robotic Data Gathering in the Wild

Event Location: NSH 1305Bio: Volkan Isler is an Associate Professor in the Computer Science Department at the University of Minnesota. He is a 2009-2012 resident fellow at the Institute on Environment and 2010-2012 McKnight Land-Grant Professor. Previously, he was an Assistant Professor at Rensselaer Polytechnic Institute, and a post-doctoral researcher at CITRIS at UC Berkeley. [...]

PhD Thesis Proposal
Yen-Chia Hsu
Carnegie Mellon University

Designing Data Visualization and Crowdsourcing Systems in Community-based Citizen Science

Event Location: GHC 4405Abstract: Citizen science forges partnerships between experts and citizens through collaboration and has become a trend in public participation in scientific research over the past decade. While public participation has been applied to science education, researchers recently noticed that this strategy can contribute to participatory democracy, which empowers citizens to advocate for [...]

RI Seminar
Byron Boots
Assistant Professor
Georgia Tech

Machine Learning For Modeling Real-World Dynamical Systems

Event Location: NSH 3305Bio: Byron Boots is an Assistant Professor in the School of Interactive Computing and the College of Computing at Georgia Tech. He directs the Georgia Tech Robot Learning Lab, which is affiliated with the Center for Machine Learning, the Institute for Data Engineering and Science, and the Institute for Robotics and Intelligent [...]

PhD Thesis Proposal
Abhinav Shrivastava
Carnegie Mellon University

Discovering and Leveraging Visual Structure for Large-scale Recognition

Event Location: GHC 4405Abstract: Visual Recognition has seen tremendous advances in the last decade. This progress is primarily due to learning algorithms trained with two key ingredients: large amounts of data and extensive supervision. While acquiring visual data is cheap, getting it labeled is far more expensive. So how do we enable learning algorithms to [...]

RI Seminar
Yann LeCun
Director of AI Research at Facebook
Professor of Computer Science, New York University

The Next Frontier in AI: Unsupervised Learning

Event Location: McConomy Auditorium, CUCBio: Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer [...]

VASC Seminar
Larry Zitnick
Research Manager
Facebook AI Research

Reasoning About Our Visual World

Event Location: Newell Simon Hall 1507Bio: C. Lawrence Zitnick is a research manager at Facebook AI Research, and an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to artificial intelligence including object recognition, the relation of language and imagery, and methods for gathering common sense [...]

VASC Seminar
Julian Panetta
‎PhD Student
New York University

Fine-Scale Structure Design for 3D Printing

Event Location: Newell Simon Hall 1507Bio: Julian Panetta is a PhD candidate at NYU's Courant Institute, where he is advised by Denis Zorin. Julian is interested in simulation and optimal designproblems, specifically focusing on applications for 3D printing. Before joining NYU, he received his BS in computer science from Caltech and did research at NASA's [...]