Sponsors and Collaborators¶

Note

Any opinions, findings, and conclusions or recommendations in the projects are those of the investigators and do not necessarily reflect the views of the sponsors.

Sponsors¶

(Cash, Equipment, Cloud Credit, Software, Technical Support)

National Science Foundation

Title	Duration
CNS-1925713 CCRI: Planning: Collaborative Research: Planning to Develop a Low-Power Computer Vision Platform to Enhance Research in Computing Systems	2019/10/01-2020/09/30
OAC-1747694 Summit of Software Infrastructure for Managing and Processing Big Multimedia Data at the Internet Scale	2017/12-2018/11
OAC-1535108 SI2-SSE: Analyze Visual Data from Worldwide Network Cameras	2015/08-2020/07
IIP-1530914 I-Corps: Business Analytics for Large Scale Intelligence	2015/04-2015/09
OISE-1427808 US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams	2014/12-2015/11
IIP-1266318 Planning Grant: I/UCRC for Net-Centric Software and Systems Center Research Center	2013/04-2015/03
CNS-0958487 CI-ADDO-NEW: Collaborative Research: Development of DARwIn Humanoid Robots for Research, Education and Outreach	2010/13-2016/02
CNS-0721873 NeTS-NOSS: AIDA: Autonomous Information Dissemination in RAndomly Deployed Sensor Networks	2007/08-2011/07
CNS-0716271 CT-ISG: Compiler-Enabled Adaptive Security Monitoring on Networked Embedded Systems	2007/07-2012/06
CCF-0541267 CPA: Cross-Layer Energy Management by Architectures, Operating Systems, and Application Programs	2006/04-2010/03
CNS-0509394 CSR-EHS: Resource-Efficient Monitoring, Diagnosis, and Programming Support for Reliable Networked Embedded Systems	2005/07-2010/06
CNS-0347466 CAREER: A Unified Approach for Energy Management by Operating Systems	2004/06-2010/05
IIS-0329061 Distributed Energy-Efficient Mobile Robots	2003/08-2008/07

Collaborators¶

Sponsors of IEEE Low-Power Image Recognition Challenge¶

The IEEE Low-Power Image Recognition Challenge aims to identify the best vision solutions that can simultaneously achieve high accuracy in computer vision and energy efficiency.