Miriam Cha

According to our database, Miriam Cha authored at least 26 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bidirectional Captioning for Clinically Accurate and Interpretable Models.

Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland

CoRR, 2023

MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman

CoRR, 2023

2022

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

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

CoRR, 2022

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

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

CoRR, 2022

RadTex: Learning Efficient Radiograph Representations from Text Reports.

Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

2021

Multimodal Representation Learning via Maximization of Local Mutual Information.

Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2019

Adversarial Learning of Semantic Relevance in Text to Image Synthesis.

Miriam Cha, Youngjune L. Gwon, H. T. Kung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements.

Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

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

Miriam Cha, Youngjune Gwon, H. T. Kung

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Language Modeling by Clustering with Word Embeddings for Text Readability Assessment.

Miriam Cha, Youngjune Gwon, H. T. Kung

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Multimodal Sparse Coding for Event Detection.

Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung

CoRR, 2016

Detecting Depression using Vocal, Facial and Semantic Communication Cues.

James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Sparse-coded net model and applications.

Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Deep Sparse-coded Network (DSN).

Youngjune Gwon, Miriam Cha, H. T. Kung

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Lambda means clustering: Automatic parameter search and distributed computing implementation.

Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Two-Stage Change Detection for Synthetic Aperture Radar.

Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe, Christ D. Richmond

IEEE Trans. Geosci. Remote. Sens., 2015

Multimodal sparse representation learning and applications.

Miriam Cha, Youngjune Gwon, H. T. Kung

CoRR, 2015

Geolocation with Subsampled Microblog Social Media.

Miriam Cha, Youngjune Gwon, H. T. Kung

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Twitter Geolocation and Regional Classification via Sparse Coding.

Miriam Cha, Youngjune Gwon, H. T. Kung

Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014

Joint SAR image compression and coherent change detection.

Miriam Cha, Myra Nam, Kelly Geyer

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Combined intensity and coherent change detection for synthetic aperture radar.

Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Test statistics for synthetic aperture radar coherent change detection.

Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Automatic track tracing in SAR CCD images using search cues.

Miriam Cha, Rhonda D. Phillips

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Finding curves in SAR CCD images.

Miriam Cha, Rhonda D. Phillips, Michael Yee

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Robust local binary pattern feature sets for periocular biometric identification.

Juefei Xu, Miriam Cha, Joseph Heyman, Shreyas Venugopalan, Ramzi Abiantun, Marios Savvides

Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010