We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Recently, it has become possible to implement floating-point cores on field-programmable gate arrays (FPGAs) to provide acceleration for the myriad applications that require high-p...
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
— We study stochastic dynamic games with a large number of players, where players are coupled via their cost functions. A standard solution concept for stochastic games is Markov...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...