Miriam Cha

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 26

Top Topics

Image Synthesis

Top Venues

Publications

Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR (2023)
Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman
MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR (2023)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI (2022)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR (2022)
Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. CoRR (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 E. Piou
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR (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 R. 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 E. 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 B. Wollaber, Sophia Yuditskaya, Jeremy Kepner
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR (2022)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR (2021)
Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. ACSCC (2021)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. AAAI (2019)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. CoRR (2018)
Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP (2018)
Miriam Cha, Youngjune Gwon, H. T. Kung
Adversarial nets with perceptual losses for text-to-image synthesis. MLSP (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Adversarial nets with perceptual losses for text-to-image synthesis. CoRR (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CoRR (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CIKM (2017)
Youngjune Gwon, Miriam Cha, H. T. Kung
Deep Sparse-coded Network (DSN). ICPR (2016)
Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli
Sparse-coded net model and applications. MLSP (2016)
James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri
Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia (2016)
Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon
Lambda means clustering: Automatic parameter search and distributed computing implementation. ICPR (2016)
Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung
Multimodal Sparse Coding for Event Detection. CoRR (2016)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Geolocation with Subsampled Microblog Social Media. ACM Multimedia (2015)
Miriam Cha, Youngjune Gwon, H. T. Kung
Twitter Geolocation and Regional Classification via Sparse Coding. ICWSM (2015)
Miriam Cha, Youngjune Gwon, H. T. Kung
Multimodal sparse representation learning and applications. CoRR (2015)
Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe, Christ D. Richmond
Two-Stage Change Detection for Synthetic Aperture Radar. IEEE Trans. Geosci. Remote. Sens. 53 (12) (2015)
Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe
Combined intensity and coherent change detection for synthetic aperture radar. ICASSP (2014)
Miriam Cha, Myra Nam, Kelly Geyer
Joint SAR image compression and coherent change detection. IGARSS (2014)
Miriam Cha, Rhonda D. Phillips
Automatic track tracing in SAR CCD images using search cues. ACSCC (2012)
Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe
Test statistics for synthetic aperture radar coherent change detection. SSP (2012)
Miriam Cha, Rhonda D. Phillips, Michael Yee
Finding curves in SAR CCD images. ICASSP (2011)
Juefei Xu, Miriam Cha, Joseph Heyman, Shreyas Venugopalan, Ramzi Abiantun, Marios Savvides
Robust local binary pattern feature sets for periocular biometric identification. BTAS (2010)