VASC Seminar
OpenDR: An Approximate Differentiable Renderer
Event Location: NSH 1507Bio: Matthew Loper is a research engineer at Industrial Light and Magic, and a PhD candidate at the University of Tuebingen. He received his ScM from Brown University in 2008. His current research interests include differentiable rendering and statistical body shape modeling.Abstract: Inverse graphics attempts to take sensor data and infer 3D [...]
Context-sensitive Dynamic Ordinal Regression for Human Facial Behaviour Analysis
Event Location: NSH 1507Bio: Ognjen Rudovic received a PhD from Department of Computing, Imperial College London, UK, in 2014, an MSc degree in Computer Vision and Artificial Intelligence from Computer Vision Centre (CVC), Barcelona, Spain, in 2008, and BSc in Automatic Control Theory from Electrical Engineering Dept., University Of Belgrade, Serbia, in 2007. He is [...]
Towards Large-scale Video Understanding
Event Location: NSH 1507Bio: Chen Sun is a Ph.D. candidate in the Computer Vision group at University of Southern California, advised by Prof. Ram Nevatia. His research interest includes Computer Vision and Machine Learning, with a focus on large-scale video understanding. Chen got his bachelor degree in Computer Science at Tsinghua University, Beijing. He has [...]
Learning optimal seeds for diffusion based salient object detection
Event Location: NSH 1507Bio: Vijay Mahadevan is Research Scientist at Yahoo Labs in Sunnyvale, CA. He received the Ph.D degree in Electrical Engineering from UC San Diego. He also has an M.S. from Rensselaer, and a B.Tech from Indian Institute of Technology, Madras. His interests are in the areas of computer vision, machine learning and [...]
Using Motion to Understand Objects in the Real World
Event Location: NSH 1507Bio: David Held is a Computer Science Ph.D. student at Stanford doing research at the intersection of robotics, computer vision, and machine learning. He is co-advised by Sebastian Thrun and Silvio Savarese. David has also interned at Google, working on the self-driving car project. Before Stanford, he worked as a software developer [...]
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Event Location: NSH 1507Bio: Philipp is a postdoctoral researcher at UC Berkeley. He received his PhD from Stanford University in 2014 under the supervision of Vladlen Koltun. His main research interests lie in Computer vision, Machine learning and Computer Graphics. He is particularly interested in image segmentation and deep learning. Abstract: In this talk, I'll [...]
Learning deconvolution network for semantic segmentation: DeconvNet and DecoupledNet
Event Location: NSH 1507Bio: Bohyung Han Associate Professor Dept. of Computer Science and Engineering POSTECH, Korea Bohyung Han received the B.S. and M.S. degrees from the Department of Computer Engineering at Seoul National University, Korea, in 1997 and 2000, respectively, and the Ph.D. degree from the Department of Computer Science at the University of Maryland, [...]
Novel Cues for Geocalibration: Cloudy Days, Rainbows, and More
Event Location: NSH 1507Bio: Nathan Jacobs earned a PhD in Computer Science at Washington University in St. Louis (2010). Since then, he has been an Assistant Professor of Computer Science at the University of Kentucky. Dr. Jacobs' research area is computer vision; his speciality is developing learning-based algorithms and systems for processing large-scale image collections. [...]
Unsupervised Deep Feature Learning from Video
Event Location: NSH 1507Bio: Ross Goroshin has recently obtained his PhD under Yann LeCun from the Department of Computer Science at New York University's Courant Institute. He received a masters in Electrical & Computer Engineering from Georgia Tech and his bachelors in Electrical Engineering from Concordia University in Montreal, Canada. Abstract: Many recent empirical successes [...]
Opportunities Building Visual Technology & Computer Vision Startups
Event Location: GHC 6115Bio: Evan Nisselson invests in early stage companies via LDV Capital with a focus in: Visual Technologies from “Capture to Smile.” He is a serial entrepreneur and digital media expert of over 20 years. He organizing the LDV Vision Summit and LDV Community dinners. He mentors at Seedcamp, 500 Startups, and Founders [...]