Prof. Lior Wolf, Tel-Aviv University
He is a faculty member at the School of Computer Science at Tel-Aviv University. Previously, he was a post-doctoral associate in Prof. Poggio's lab at MIT. He graduated from the Hebrew University, Jerusalem, where he worked under the supervision of Prof. Shashua. He was awarded the 2008 Sackler Career Development Chair, the Colton Excellence Fellowship for new faculty (2006-2008), the Max Shlumiuk award for 2004, and the Rothchild fellowship for 2004. His joint work with Prof. Shashua in ECCV 2000 received the best paper award, and their work in ICCV 2001 received the Marr prize honorable mention. He was also awarded the best paper award at the post ICCV workshop on eHeritage 2009. In addition, Lior has held several development, consulting and advisory positions in computer vision companies including face.com and superfish, and is a co-founder of FDNA.
Using classifiers to compute similarities between images of faces.
The One-Shot-Similarity (OSS) is a framework for classifier-based similarity functions. It is based on the use of background samples and was shown to excel in tasks ranging from face recognition to document analysis. In this talk we will present the framework as well as the following results: (1) when using a version of LDA as the underlying classifier, this score is a Conditionally Positive Definite kernel and may be used within kernel-methods (e.g., SVM), (2) OSS can be efficiently computed, and (3) a metric learning technique that is geared toward improved OSS performance.