VASC Seminar
Correlation Filters : Theory and Applications
Event Location: NSH 1507Bio: Vishnu Naresh Boddeti received a PhD in Electrical and Computer Engineering from Carnegie Mellon University in 2012. He is currently a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University. His research interests are in Computer Vision, Machine Learning and Pattern Recognition. He received the best paper award at BTAS [...]
Advancing visual recognition with big data
Event Location: NSH 1507Bio: Jia Deng is a Visiting Assistant Professor in the EECS department of the University of Michigan, where he will start as an Assistant Professor in Fall 2014. He received his Ph.D. from Princeton University in 2012 and his B.Eng. from Tsinghua University, both in computer science. He has been co-organizing the [...]
Automatic Viewpoint Alignment and Deformation of 3D Models to Match Photographs Exactly
Event Location: NSH 1507Bio: Natasha Kholgade is a fifth year Ph.D. student at the Robotics Institute at Carnegie Mellon University. Her research lies at the intersection of computer graphics and computer vision. She is especially interested in extraction, manipulation, and editing of three-dimensional information in images. Prior to attending Carnegie Mellon, she received her B.S. [...]
Object detection with parsimony
Event Location: NSH 1507Bio: Hyun Oh Song is a Ph.D. candidate in Computer Science at UC Berkeley. He is a recipient of five year Ph.D. fellowship from Samsung Lee Kun Hee Scholarship Foundation. His research interest lies at the intersection between computer vision, machine learning and optimization with an application focus in large scale object [...]
Data-driven Exemplar Model Selection
Event Location: NSH 1507Bio: Ishan Misra is a Masters student at the Robotics Institute and is advised by Prof. Martial Hebert. He works in computer vision, specifically on object recognition and semi-supervised learning.Abstract: We consider the problem of discovering discriminative exemplars suitable for object detection. Due to the diversity in appearance in real world objects, [...]
Model Recommendation for Object Detection
Event Location: NSH 3305Bio: Yuxiong Wang is a PhD student in the Robotics Institute at Carnegie Mellon University, where he is supervised by Prof. Martial Hebert. His research focuses on computer vision and machine learning and he is particularly interested in object recognition problems. Abstract: In this work, we explore an approach to generating detectors [...]
Interactive Image Search with Attributes
Event Location: NSH 3305Bio: Adriana Kovashka is a PhD candidate in the Department of Computer Science at The University of Texas at Austin. Her advisor is Professor Kristen Grauman. Adriana received her B.A. in Computer Science and Media Studies from Pomona College, CA, in May 2008. Her research interests primarily lie in computer vision, with [...]
PoseMachines: Articulated Human Pose Estimation via Inference Machines
Event Location: NSH 1507Bio: Varun Ramakrishna is a PhD student in the Robotics Institute, advised by Prof. Yaser Sheikh and Prof. Takeo Kanade. His research interests include structured prediction problems in computer vision with a focus on understanding human posture and motion from monocular images and image sequences. Varun was previously a master's student in [...]
Object Recognition from Active Detection to Accurate Pose Estimation
Event Location: 200 Smith HallBio: Menglong Zhu is a Ph.D. candidate in the Department of Computer and Information Science at the University of Pennsylvania. His current research focus is 2D and 3D object recognition and pose estimation. He is also interested in semantic localization, text recognition, and action recognition. He obtained his Master’s degree in [...]
Video Forensics: Extracting and Analyzing Information from Video about Human Rights, Conflict, and Disaster
Event Location: NSH 1305Bio: Jay Aronson is Associate Professor of Science, Technology, and Society at Carnegie Mellon University. His research and teaching focus is on the interactions of science, technology, law, and human rights in a variety of contexts. He is currently engaged in a long-term study of the ethical, political, and social dimensions of [...]