Ullas Gargi is a software engineer at Google. He joined Google in 2006 after having worked as a Research Scientist at Hewlett-Packard Labs. His areas of interest include image and video analysis, recommender systems, large-scale data analysis, machine learning, and adaptive computer interfaces.
“Large-scale community detection on YouTube for Topic Discovery and Exploration”, Ullas Gargi, Wenjun Lu, Vahab Mirrokni, Sangho Yoon, AAAI Conference on Weblogs and Social Media 2011.
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“Learning Highlights in Sports Videos Using a Semi-Supervised Approach: Cricket as a Test Case”, Hao Tang, Vivek Kwatra, Mehmet Emre Sargin, Ullas Gargi, ICME 2011.
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“QuickSuggest: Character Prediction for Improved Text Entry on Web Appliances”, Ullas Gargi, Rich Gossweiler, International Conference on the World Wide Web (WWW), 2010.
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“The YouTube video recommendation system”, James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath, Fourth ACM conference on Recommender systems, 2010.
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“Solving the label resolution problem in supervised video content classification”, Ullas Gargi, Jay Yagnik, MIR '08: Proceeding of the 1st ACM international conference on Multimedia information retrieval, 2008, pp. 276-282.
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