Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction
Event Location: NSH 1109Bio: Gunhee Kim is a postdoctoral researcher at Disney Research Pittsburgh. Prior to that, he received a Ph.D. degree at Computer Science Department of Carnegie Mellon University (CMU) in 2013, advised by Eric P. Xing. He earned a master’s degree under supervision of Martial Hebert in Robotics Institute, CMU in 2008. He [...]
Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos
Event Location: NSH 1109Bio: Gunhee Kim is a postdoctoral researcher at Disney Research Pittsburgh. Prior to that, he received a Ph.D. degree at Computer Science Department of Carnegie Mellon University (CMU) in 2013, advised by Eric P. Xing. He earned a master’s degree under supervision of Martial Hebert in Robotics Institute, CMU in 2008. He [...]
Control and Design of Snake Robots
Event Location: NSH 1305Abstract: Snake robots are ideally suited to highly confined environments because their small cross-sections and highly redundant kinematics allow them to enter and move through tight spaces with a high degree of dexterity. Despite these theoretical advantages, snake robots also pose a number of practical challenges that have limited their usefulness in [...]
Video Based Wildfire Detection in an Active Learning Framework
Event Location: NSH 1507Bio: A. Enis Cetin studied Electrical Engineering at the Orta Dogu Teknik Universitesi (METU). After getting his B.Sc. degree, he got his M.S.E and Ph.D. degrees in Systems Engineering from the Moore School of Electrical Engineering at the University of Pennsylvania in Philadelphia. Between 1987-1989, he was Assistant Professor of Electrical Engineering [...]
Joint Deep Learning for Human Detection and Identification across Camera Views
Event Location: NSH 1507Bio: Xiaogang Wang received his Bachelor degree in Electrical Engineering and Information Science from the Special Class of Gifted Young at the University of Science and Technology of China in 2001, M. Phil. degree in Information Engineering from the Chinese University of Hong Kong in 2004, and PhD degree in Computer Science [...]
Multimodal Analysis, Recognition and Synthesis of Expressive Human Behaviors
Event Location: NSH 1507Bio: Carlos Busso is an Assistant Professor at the Electrical Engineering Department of The University of Texas at Dallas (UTD). He received his B.S (2000) and M.S (2003) degrees with high honors in electrical engineering from University of Chile, Santiago, Chile, and his Ph.D (2008) in electrical engineering from University of Southern [...]
Multiple Prediction Learning: Learning to Optimize Sequences via Submodular Maximization
Event Location: NSH 1305Abstract: Increasingly, real world problems require multiple predictions. For instance in advertisement placement on the web, a list of advertisements is placed on a page with the objective of maximizing click- through rate. Traditionally machine learning has focused on producing a single best prediction. More generally, in this thesis, we build an [...]
Pose Inference Machines: Efficient and Accurate Human Pose Estimation from Images
Event Location: GHC 8102Abstract: Fast and accurate human pose estimation enables a wide spectrum of applications from interactive control, markerless motion capture and gesture recognition to providing rich semantic information for higher level vision tasks such as scene understanding. The goal of this work is to develop an accurate and real-time human pose estimation system [...]
Handheld Micromanipulator for Robot-Assisted Microsurgery
Event Location: NSH 3305Abstract: Robot-assisted surgery has been increasingly adopted in a wide variety of surgical applications because it offers fine manipulation with high precision and dexterity. Despite the commercial success of robotic platforms, practical use in microsurgery is still challenging due to a considerable level of accuracy required at sub-millimeter scales. Limited visualization and [...]
Perceptually Valid Dynamics for Smiles and Blinks
Event Location: GHC 8102Abstract: Human observers are adept at detecting anomalies in realistic computer-generated (CG) facial animations. With an increased demand for CG characters in education and entertainment applications, it is important to animate accurate, realistic facial expressions. In this thesis, we develop a framework to explore representations of two key facial expressions: blinks and [...]