ICCV2011 Workshop

“Third Workshop on GPUs for Computer Vision”

November 7^th 2011

Organizer: Chen Sagiv, SagivTech Ltd.

Time
8:30-9:00	Gathering
9:00-9:30	Invited Keynote – Prof. Daniel Cremers
9:30-10:00	A GPU-Assisted Personal Video Organizing System K Wasif Mohiuddin, P J Narayanan Center for Visual Information Technology IIIT Hyderabad
10:00-10:30	Long term video segmentation through pixel level spectral clustering on GPUs Narayanan Sundaram and Kurt Keutzer University of California at Berkeley
10:30-11:00	Coffee Break
11:00-11:30	Learning a Dictionary of Deformable Patches using GPUs Xingyao Ye, Dept of Statistics, UCLA Alan Yuille, Dept of Statistics, Computer Science, and Psychology, UCLA
11:30-12:00	Rapid Weak-perspective Structure from Motion with Missing Data Csaba Kaz´o and Levente Hajder Geometric Modelling and Computer Vision Laboratory Budapest Kende University
12:00-12:30	Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration Stefan Sommer Department of Computer Science, University of Copenhagen
12:30-13:15	Lunch talk sponsored by NVIDIA, James Fung
13:15-14:30	Lunch Break – sponsored by NVIDIA
14:30-15:00	GPU & CPU Cooperative Accelerated Pedestrian and Vehicle Detection Takashi Machida and Takashi Naito Road Environment Recognition Lab., Toyota Central R&D Labs
15:00-15:30	Real-Time Semi-Global Matching Disparity Estimation on the GPU Christian Banz, Holger Blume, and Peter Pirsch Institute of Microelectronic Systems Leibniz Universitat Hannover
15:30-16:00	Variational Depth From Defocus in Real-Time Rami Ben-Ari and Gonen Raveh Orbotech Ltd.
16:00-16:30	Real-time GPU-based Face Detection in HD Video Sequences David Oro 1, Carles Fern´andez 1 , Javier Rodr´ıguez Saeta 1,  Xavier Martorell 2, Javier Hernando 2 1 Herta Security, Barcelona, Spain 2 Universitat Polit`ecnica de Catalunya, Barcelona, Spain
16:30-17:00	Coffee Break
17:00-18:00	Posters Talks

The authors of the following talk that was accepted to the GPUCV will not attend the workshop:

On building an accurate stereo matching system on graphics hardware

Xing Mei^1,2, Xun Sun¹, Mingcai Zhou¹, Shaohui Jiao¹, Haitao Wang¹, Xiaopeng Zhang²

¹Samsung Advanced Institute of Technology, China Lab

²LIAMA-NLPR, Institute of Automation, Chinese Academy of Sciences

 
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