VASC Seminar
Andrew Gallagher
Cornell University

Putting the Pieces Together: Assembling Puzzles and Shredded Documents

Event Location: NSH 1305Bio: Andrew Gallagher is a Visiting Research Scientist at Cornell University's School of Electrical and Computer Engineering, beginning in June 2012. Andrew earned the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University in 2009, advised by Prof. Tsuhan Chen. Before that, Andrew received an M.S. degree from Rochester Institute [...]

VASC Seminar
Ivan Laptev
INRIA Paris

Human action recognition: recent progress, open questions and future challenges

Event Location: NSH 1507Bio: Ivan Laptev is a full-time researcher in the WILLOW team at INRIA Paris and Ecole Normale Superieure. He has received his PhD in Computer Science from the Royal Institute of Technology (KTH) in 2004 and his Master of Science degree from the same institute in 1997. He has been a research [...]

PhD Thesis Defense
Pyry Matikainen
Carnegie Mellon University

Model Recommendation for Action Recognition and Other Applications

Event Location: GHC 4405Abstract: The typical approach to learning based vision has been that for each individual application, classifiers or detectors are learned anew from annotated training data for each specific task. However, the classifiers trained in this way tend to be brittle and highly specialized to the datasets from which they are derived, making [...]

VASC Seminar
Andreas Geiger
Karlsruhe Institute of Technology

3D Scene Understanding for Autonomous Vehicles

Event Location: NSH 1507Bio: Andreas Geiger studied computer science and mathematics at Karlsruhe Institute of Technology (KIT) in Germany. During his studies he spent 6 months at EPFL (working with Pascal Fua and Vincent Lepetit) and 6 months at MIT (working with Raquel Urtasun and Trevor Darrell). Currently he is a 4th year doctoral candidate [...]

VASC Seminar
Rahul Sukthankar
Scientist / Adjunct Research Professor
Google Research / CMU

CouchPotato: Learning from Lots of YouTube Video

Event Location: NSH 3305Bio: Rahul Sukthankar is a scientist at Google Research and an adjunct research professor in Robotics at Carnegie Mellon. He was previously a senior principal researcher at Intel Labs (2003-2011), a senior research scientist at HP/Compaq Labs (2000-2003) and research scientist at Just Research (1997-2000). Rahul received his Ph.D. in Robotics from [...]

PhD Thesis Proposal
Neal Seegmiller
Carnegie Mellon University

Formulation and Calibration of Fast, Accurate Vehicle Motion Models

Event Location: NSH 3002Abstract: High performance wheeled mobile robots (WMRs) require fast, accurate motion models for planning and control. This thesis addresses two challenges to producing these models: the tradeoff between fidelity and speed in model formulation, and the need for laborious calibration procedures. To address the first challenge, I propose the formulation of “enhanced” [...]

RI Seminar
Wieslaw Binienda
Professor and Chair
Civil Engineering Department, University of Akron

Explaining complex physical events using large scale simulations. Case Study: Crash of Polish Air Force One in Smolensk, Russia, on April 10, 2010

Event Location: Hamburg Hall 1000(PLEASE NOTE TIME AND LOCATION)Tea Reception4:30 PM GHC 6115Bio: Dr. Wieslaw K. Binienda, F. ASCE. currently serves as Professor and Chairman of the Department of Civil Engineering at the University of Akron. He received his Master of Science degree from the Warsaw Polytechnic and Ph.D. in Mechanical Engineering from Drexel University [...]

RI Seminar
Steve Seitz
University of Washington

A Trillion Photos

Event Location: NSH 1305Bio: Steve Seitz is a Professor in the Department of Computer Science and Engineering at the University of Washington. He also directs an imaging group at Google's Seattle office. He received his B.A. in computer science and mathematics at the University of California, Berkeley in 1991 and his Ph.D. in computer sciences [...]

PhD Thesis Proposal
Jiyan Pan
Carnegie Mellon University

Coherent Scene Understanding with 3D Geometric Reasoning

Event Location: NSH 1305Abstract: Going beyond object detection and semantic segmentation, coherent scene understanding simultaneously considers multiple potential objects and surfaces in the image and reasons over them in a 3D geometric context to derive a coherent interpretation of the scene behind the image, during which many visual ambiguities can be resolved. To achieve this [...]