An L.,University of California at Riverside |
Zou C.,Groupon |
Zhang L.,Nanjing University of Aeronautics and Astronautics |
Denney B.,Canon Information and Imaging Solutions
Neurocomputing | Year: 2016
In recent years an explosion of online multimedia data has been witnessed. As an example, abundant photos recording every aspect of human life are available through social media. Among tremendous amount of photos, a significant fraction contains human faces. Faces are usually salient features of the photos. To understand and extract useful information from such gigantic data corpus, efficient and effective retrieval algorithms are demanded. Most face retrieval techniques rely on low-level image features to compare faces based on visual similarity. However, as humans we tend to simplify the recognition task by utilizing human attributes such as gender or race to help differentiate people on a higher semantic level. In this paper, we propose to use human attributes as high-level semantic cues to determine people's identities. To this end, we develop discriminative image features with attribute information encoded to achieve more accurate face image retrieval. To guarantee scalability, we propose using a binary coding scheme for the proposed attributed-based features. A re-ranking step after initial retrieval is incorporated to further improve the retrieval performance. We demonstrate the superiority of the proposed method compared to state-of-the-art on the LFW and Pubfig face datasets. © 2015 Elsevier B.V.
News Article | December 20, 2016
PLANO, Texas, Dec. 20, 2016 /PRNewswire/ -- Value Creed Consulting, LLP. (VCC), a leading provider of consulting, development and testing services, announced today that it has become a Solutions Partner for Canon Information and Imaging Solutions, Inc. (CIIS), a wholly owned subsidiary of...
News Article | December 5, 2016
SHERMAN OAKS, Calif.--(BUSINESS WIRE)--LendingUSA, a leading provider of point of sale financing solutions, has announced Manoj Mathew as its new Chief Technology Officer. Manoj, a widely recognized and influential member of the marketplace lending technology community, is a seasoned leader with over 20 years of experience working with IT and product engineering companies. An alumnus of the prestigious Indian Institute of Information Technology, Manoj specializes in the execution of strategic initiatives that align customer and future market demands, and has obtained 7 U.S. Patents, with several more patent pending applications. As CTO, Manoj will apply his combined engineering and business background to provide thought leadership and guidance for LendingUSA, which uses a proprietary lending solution that allows customers to apply for financing directly at the point of sale and receive a decision within seconds. “Manoj is a brilliant technologist and fintech visionary with a deep understanding and passion for next-generation technology, problem solving, and market dynamics,” says Camilo Concha, CEO of LendingUSA. “He has invaluable perspective and insight on how to use technology to power progress, improve the user experience, and seamlessly meet the customer’s needs. We’re thrilled to be working with him.” His previous experience includes being the co-founder and Chief Technology Officer of LendFoundry, a fintech accelerator platform for marketplace lending. He was also a co-founder and senior executive at Sigma Infosolutions, a leader in business and IT solutions for both large and small enterprises. During his time at Sigma, he was instrumental in the design and architecture of the origination platform for loanDepot, QuickBridge and the servicing system deployed for Rocketloans. Additionally, as a Senior Systems Engineer, Manoj was a development lead at Finacle, a core banking product by Infosys, which serves 450 million customers across 84 countries. He has also been involved with several computer vision, GPGPU-based image processing and machine learning initiatives at Canon Information and Imaging Solutions. He writes regularly about marketplace lending and has spoken about fintech at major industry conferences including Lendit. “LendingUSA is one of the key innovators in the marketplace lending community, and being a part of a dynamic team with a transformational vision challenges the norm,” says Manoj of the appointment. “They’re using technology in a way that revolutionizes financing for both the merchant and the borrower, and I’m excited to work with them on optimization and strategy as they continue to expand their footprint in the point of sale financing industry.” LendingUSA specializes in point of sale and direct-to-consumer financing solutions with a special focus on a wide range of medical services and consumer goods. The company’s proprietary technology combines traditional and next generation underwriting and fraud detection techniques to approve loan applications in real-time – often in a matter of seconds. LendingUSA builds strong relationships with its merchant partners by providing the tools and training necessary for them to provide the appropriate financing to customers at their point of need. All loans are made by Cross River Bank, a New Jersey State Chartered bank, Member FDIC.