VASC Seminar
David Held
PhD Student
Stanford University

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 [...]

VASC Seminar
Philipp Krähenbühl
Postdoctral Researcher
UC Berkeley

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 [...]

VASC Seminar
Bohyung Han
Associate Professor
POSTECH Korea

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, [...]

VASC Seminar
Nathan Jacobs
Assistant Professor
University of Kentucky

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. [...]

VASC Seminar
Ross Goroshin
PhD Student
New York University

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 [...]

VASC Seminar
Evan Nisselson
LDV Capital

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 [...]

VASC Seminar
Ryan Schmidt
Senior Principal Research Scientist, Autodesk

Design in context: bringing the physical world into CAD tools

Event Location: NSH 1507Bio: Ryan Schmidt is a Research Scientist and head of the Design & Fabrication Group at Autodesk Research in Toronto, Canada. He is the creator of several novel 3D design tools, including Meshmixer, which was acquired by Autodesk in 2011. At Autodesk he has evolved Meshmixer into one of the standard tools [...]

VASC Seminar
C. Lawrence Zitnick
Principal Researcher
Microsoft Research

CANCELEDThe Depth of Our Understanding: Vision, Language, and Humor

Event Location: NSH 1507Bio: C. Lawrence Zitnick is a principal researcher in the Interactive Visual Media group at Microsoft Research, and is an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to visual object recognition. His current interests include object detection, semantically interpreting visual scenes, [...]

VASC Seminar
Greg Shakhnarovich
Assistant Professor
Toyota Technical Institute at Chicago

Rich Representations for Parsing Visual Scenes

Event Location: NSH 1507Bio: Greg is an Assistant Professor at TTI-Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus, where he works on computer vision and machine learning. He also holds a part-time faculty appointment at the University of Chicago Department of Computer Science. Prior to coming to TTI-Chicago, [...]

VASC Seminar
Calvin Murdock
PhD Student
Machine Learning

Semantic Component Analysis

Event Location: NSH 1507Abstract: We propose a novel formulation for component analysis that allows for rich instance-level constraints that encourage semantic interpretability of the learned components. Even with simple features and intuitive spatial consistency priors, our method produces accurate, semantically-meaningful image segmentations both with and without supervision.