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RadTex: Learning Efficient Radiograph Representations from Text Reports


Aug 05, 2022
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth Berkowitz, Polina Golland

* Accepted to Resource Efficient Medical Image Analysis (REMIA) Workshop, MICCAI 2022 

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SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks


Jul 26, 2022
Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey


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Developing a Series of AI Challenges for the United States Department of the Air Force


Jul 14, 2022
Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner


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MultiEarth 2022 -- Multimodal Learning for Earth and Environment Workshop and Challenge


Apr 27, 2022
Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean Piou


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Multimodal Representation Learning via Maximization of Local Mutual Information


Mar 08, 2021
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth Berkowitz, Steven Horng, Polina Golland, William M. Wells


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Adversarial Learning of Semantic Relevance in Text to Image Synthesis


Dec 12, 2018
Miriam Cha, Youngjune L. Gown, H. T. Kung


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Language Modeling by Clustering with Word Embeddings for Text Readability Assessment


Sep 05, 2017
Miriam Cha, Youngjune Gwon, H. T. Kung


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Adversarial nets with perceptual losses for text-to-image synthesis


Aug 30, 2017
Miriam Cha, Youngjune Gwon, H. T. Kung


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Multimodal Sparse Coding for Event Detection


May 17, 2016
Youngjune Gwon, William Campbell, Kevin Brady, Douglas Sturim, Miriam Cha, H. T. Kung

* Multimodal Machine Learning Workshop at NIPS 2015 

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