Seminar
Weakly supervised learning from images and videos
Event Location: NSH 1305Bio: Cordelia Schmid holds a M.S. degree in Computer Science from the University of Karlsruhe and a Doctorate, also in Computer Science, from the Institut National Polytechnique de Grenoble (INPG). Her doctoral thesis on "Local Greyvalue Invariants for Image Matching and Retrieval" received the best thesis award from INPG in 1996. She [...]
Weakly Supervised Video Understanding
Event Location: NSH 1305Abstract: This talk addresses the problem of understanding the visual content of videos using a weak form of supervision such as the textual information available in television or film scripts. I will discuss two instances of this problem, the joint localization and identification of movie characters and their actions, and the assignment [...]
Digital Humans
Event Location: NSH 1507Bio: Sofien Bouaziz is a PhD student in the Computer Graphics and Geometry Laboratory at École Polytechnique Fédérale de Lausanne (EPFL). He received an MSc degree in Computer Science from EPFL in 2009 and completed his master thesis at the Imaging Group of Mitsubishi Electric Research Laboratories, where he developed computer vision [...]
Photo Sequencing v.s. Feature Matching in CrowdCam Images
Event Location: NSH 1507Bio: Prof. Yael Moses, from the Efi Arazi School of Computer Science at the Interdisciplinary Center (IDC), Herzliya Israel, received a Ph.D. in computer science from the Weizmann Institute, Israel. Her early work concentrated on theoretical aspects of object recognition. Recently, she has been focusing on various aspects of multi-camera systems and [...]
Collaborative Representation for Person Re-identification
Event Location: NSH 1507Bio: Yang Wu received a BS degree and a Ph.D degree from Xi'an Jiaotong University in 2004 and 2010, respectively. From Sep. 2007 to Dec. 2008, he was a visiting student in the GRASP lab at University of Pennsylvania. From 2011 to 2014, he was a program specific researcher at the Academic [...]
Do Deep Nets Really Need To Be Deep?
Event Location: NSH 1507Bio: Rich Caruana is a Senior Researcher at Microsoft Research. Before joining Microsoft, Rich was on the faculty at the Computer Science Department at Cornell University, at UCLA’s Medical School, and at CMU’s Center for Learning and Discovery (CALD). Rich’s Ph.D. is from Carnegie Mellon University, where he worked with Tom Mitchell [...]
Towards context-ready tagging: Solutions and open challenges of implicit tagging in the real world
Event Location: NSH 1507Bio: Hayley Hung is an Assistant Professor and Delft Technology Fellow in the Pattern Recognition and Bioinformatics group at TU Delft, The Netherlands, since 2013. Between 2010-2013, she held a Marie Curie Intra-European Fellowship at the Intelligent Systems Lab at the University of Amsterdam. Between 2007-2010, she was a post-doctoral researcher at [...]
Unconstrained 3D Face Reconstruction
Event Location: NSH 3305Bio: Xiaoming Liu is an Assistant Professor at the Department of Computer Science and Engineering of Michigan State University. He received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2004. Before joining MSU in Fall 2012, he was a research scientist at General Electric (GE) Global Research. [...]
Analysis of Angle of Attack for Efficient Slope Ascent by Rovers
Event Location: GHC 2109Bio: Hiroaki Inotsume is a Masters student in the Robotics Institute advised by David Wettergreen. His research focuses on vehicle-terrain interaction analysis for design, planning, and control of planetary rovers. He holds a B.E. and a M.E. degrees in Aerospace Engineering.Abstract: What direction should a rover drive to efficiently ascend slope of [...]