Vision based Micro Intelligent Vehicles
Event Location: NSH 1507Bio: Dr. Ming YANG graduated from Tsinghua University in China. After two-year post-doc experiences in INRIA, he is currently a full professor in the department of Automation in Shanghai Jiao Tong University, and director of Research Institute of Intelligent Vehicles Technology. He has been working in the area of intelligent vehicles for [...]
Articulated People Detection and Pose Estimation
Event Location: NSH 1507Bio: I received M.Sc. in Computer Science from RWTH Aachen University, Germany, in 2010, and joined the group of Bernt Schiele at the Max Planck Institute for Informatics as a PhD student. The focus of my work is mainly on human pose estimation and articulated people detection, while recently I have been [...]
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 [...]