PPT-Describable Visual Attributes for Face Verification and Image Search

Neeraj Kumar Alexander C Berg Peter N Belumeur and Shree K Nayar Presented by Gregory Teodoro Attribute Classification Early research focused on gender and ethnicity Done on small datasets. Tech Talk @ . shutterstock. . . Presenter: . Chen-Ping Yu, PhD Candidate. Research Advisors: . Dr. . Dimitris. Samaras (computer science). Dr. Greg . Zelinsky. (psychology). . . S. Liao, A. K. Jain, and S. Z. Li, "Partial Face Recognition: Alignment-Free Approach", . IEEE Transactions on Pattern Analysis and Machine Intelligence. , Vol. 35, No. 5, pp. 1193-1205, May 2013, . Andrew Chi. Brian Cristante. COMP 790-133: January 27, 2015. Image Retrieval. AI / Vision Problem. Systems Design / Software Engineering Problem. Sensory Gap. : “What features should we use?”. Query-Dependent?. Image Understanding . Xuejin Chen. Face . Recogntion. Good websites. http://www.face-rec.org/. Eigenface. [. Turk & . Pentland. ]. Image Understanding, Xuejin Chen . Eigenface. Projecting a new image into the subspace spanned by the . Tech Talk @ . shutterstock. . . Presenter: . Chen-Ping Yu, PhD Candidate. Research Advisors: . Dr. . Dimitris. Samaras (computer science). Dr. Greg . Zelinsky. (psychology). . . Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kristen Grauman. 1. 1 University . of Texas at . Austin, 2 University of Southern California. Problem. Experimental results. Conclusion/Future Work. Do . W. e . know?. David Greene, U. Tennessee. Anushah. . Hossain. , Julia Hofmann, Robert Beach, RTI Int.. Gloria . Helfand. , USEPA. Funding for this project was provided by the US EPA.. The content of this presentation does not necessarily reflect the views of the US EPA, the University of Tennessee or RTI International.. Verification is confirmation of eligibility for free and reduced price meals under NSLP and SBP. . Verification is . not . required for CEP schools or DC students. . Verification activities begin on Oct. 1 and must be concluded by November. Bangpeng. Yao, . Xiaoye. Jiang, . Aditya. . Khosla. ,. Andy Lai Lin, . Leonidas. . Guibas. , and Li . Fei-Fei. 1. Stanford University. 2. Action Classification in Still Images. Low level feature. Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts.