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 [...]
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 [...]
Multi-agent Pickup and Delivery Planning with Transfers
Event Location: NSH 1305Abstract: Many logistics problems require mobile agents to retrieve and deliver a set of items. For example, postal services and couriers retrieve and deliver letters and packages, while taxis pick up and drop off passengers. These problems are instances of the Pickup and Delivery Problem (PDP), in which a set of mobile [...]
Object Instance Discovery from Scenes of Daily Living
Event Location: NSH 1507Abstract: This thesis tackles the problem of automatically discovering objects from a collection of images from the Activities of Daily Living (ADL) environment. We contribute, 1) a framework for discovering object instances under severe clutter, occlusion, changes of view point, heterogeneity of object appearance and imperfect segmentation; 2) a data-driven approach for [...]
Scalable Object Detection using Latent Hough Transform
Bio: Nima Razavi is currently a post-doctoral researcher in Luc van Gool’s lab at ETH Zurich where he finished his PhD in 2012. He holds a M.Sc. in Computer Science from ETH Zurich and a B.Sc. in computer engineering from Sharif University of Technology. His research interests are in Computer Vision, Machine Learning and Neuroscience [...]
Self-Supervised Learning on Mobile Robots Using Acoustics, Vibration, and Visual Models to Build Rich Semantic Terrain Maps
Event Location: NSH 1305Abstract: Humans and robots would benefit from having rich semantic maps of the terrain in which they operate. Mobile robots equipped with sensors and perception software could build such maps as they navigate through a new environment. This information could then be used by humans or robots for better localization and path [...]
Toward an Automated System for the Analysis of Cell Behavior: Cellular Event Detection and Cell Tracking in Time-lapse Live Cell Microscopy
Event Location: GHC 4405Abstract: Time-lapse live cell imaging has been increasingly employed by biological and biomedical researchers to understand the underlying mechanisms in cell physiology and development by investigating behavior of cells. This trend has led to a huge amount of image data, the analysis of which becomes a bottleneck in related research. Consequently, how [...]
Occlusion Detection and Its Role in Object Discovery in Video
Event Location: NSH 1507Bio: Alper Ayvaci received his Ph.D. in Computer Science from University of California, Los Angeles in August, 2012 under the supervision of Prof. Dr. Stefano Soatto. He is currently a postdoctoral scholar at the same institute. His general research interests are in computer vision and applications of geometry and machine learning in [...]