Joe is a PhD candidate at Columbia University working on video searching and indexing. He has published research in the areas of multimodal information processing, computer vision and machine learning. He has worked at Google, IBM Research, and MITRE.
Dan is a PhD candidate at Columbia University working on machine learning applied to neuroscience. He has published research in computational physics, computer multimedia. He has worked at NASA, and HHMI Janelia.
Hongzhi is a PhD candidate in Computer Science department, Columbia University. His research focuses on Multimedia Cloud Computing and Multimedia Content Analysis. He worked for Microsoft Research and Bell Labs.
Shih-Fu Chang is a professor School of Engineering and at Columbia University. His research focuses on multimedia information retrieval, computer vision, and machine learning with a goal to develop intelligent systems that harness information from massive visual data.
Following up on 3 months of being part of the Combine. Vidrovr is selected to receive followup funding for the incubation program.theCombine
The NewsRover team won two major challenges sponsored by New York City Media Lab. In the Combine program sponsored by NYC Economical Development Commission, the team was selected with major funding to identify products and develop business plans impacting the media industry. As a result, a technology spinoff startup company has been created and attracted additional funding from industry and ventures. In the Verizon challenge, the team won cash prize to further develop prototypes in the new media area.
The News Rover system was presented at the 2014 NYC Media Lab Annual Summit and won the second place demo prize. Click here to check the article from NYC Media Lab.NYC Media Lab
The News Rover team presented the News Rover system at newsKDD, a KDD workshop at Bloomberg in New York City.
The News Rover system was presented at the November 2013 New York Tech Meetup alongside several other projects out from the academic sector at the beautiful NYU Skirball Center For The Performing Arts. It was exciting to present our revolutionary new way of getting context for your news!NYTM
Work on News Rover presented in part at ACM Multimedia (MM) 2013 won the Multimedia Grand Challenge 1st Place Award in Barcelona, Spain. The work was entitled “Structured Exploration of Who, What, When, and Where in Heterogeneous Multimedia News Sources” and was submitted as a Multimedia Grand Challenge solution to the Technicolor Rich Multimedia Retrieval from Input Videos Grand Challenge. A demo of the work was also presented at MM’13 in a Technical Demo session.ACM MM 2013