Robust local binary pattern feature sets for periocular biometric identification. - Juefei Xu; Miriam Cha; Joseph Heyman; Shreyas Venugopalan; Ramzi Abiantun; Marios Savvides (BTAS, 2010)

Finding curves in SAR CCD images. - Miriam Cha; Rhonda D. Phillips; Michael Yee (ICASSP, 2011)

Automatic track tracing in SAR CCD images using search cues. - Miriam Cha; Rhonda D. Phillips (ACSCC, 2012)

Test statistics for synthetic aperture radar coherent change detection. - Miriam Cha; Rhonda D. Phillips; Patrick J. Wolfe (SSP, 2012)

Combined intensity and coherent change detection for synthetic aperture radar. - Miriam Cha; Rhonda D. Phillips; Patrick J. Wolfe (ICASSP, 2014)

Joint SAR image compression and coherent change detection. - Miriam Cha; Myra Nam; Kelly Geyer (IGARSS, 2014)

Twitter Geolocation and Regional Classification via Sparse Coding. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (ICWSM, 2015)

Geolocation with Subsampled Microblog Social Media. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (ACM Multimedia, 2015)

Multimodal sparse representation learning and applications. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (CoRR, 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)

Lambda means clustering: Automatic parameter search and distributed computing implementation. - Marcus Z. Comiter; Miriam Cha; H. T. Kung 001; Surat Teerapittayanon (ICPR, 2016)

Deep Sparse-coded Network (DSN). - Youngjune Gwon; Miriam Cha; H. T. Kung 001 (ICPR, 2016)

Sparse-coded net model and applications. - Youngjune Gwon; Miriam Cha; William M. Campbell; H. T. Kung 001; Charlie K. Dagli (MLSP, 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 001; Charlie K. Dagli; Thomas F. Quatieri (AVEC@ACM Multimedia, 2016)

Multimodal Sparse Coding for Event Detection. - Youngjune Gwon; William M. Campbell; Kevin Brady 001; Douglas E. Sturim; Miriam Cha; H. T. Kung 001 (CoRR, 2016)

Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (CIKM, 2017)

Adversarial nets with perceptual losses for text-to-image synthesis. - Miriam Cha; Youngjune Gwon; H. T. Kung 001 (MLSP, 2017)

Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. - Miriam Cha; Arjun Majumdar; H. T. Kung 001; Jarred Barber (ICASSP, 2018)

Adversarial Learning of Semantic Relevance in Text to Image Synthesis. - Miriam Cha; Youngjune L. Gwon; H. T. Kung 001 (AAAI, 2019)

SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. - Armando Cabrera; Miriam Cha; Prafull Sharma; Michael Newey (ACSCC, 2021)

Multimodal Representation Learning via Maximization of Local Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Miriam Cha; Keegan Quigley; Seth J. Berkowitz; Steven Horng; Polina Golland; William M. Wells III (MICCAI (2), 2021)

RadTex: Learning Efficient Radiograph Representations from Text Reports. - Keegan Quigley; Miriam Cha; Ruizhi Liao 001; Geeticka Chauhan; Steven Horng; Seth J. Berkowitz; Polina Golland (REMIA@MICCAI, 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; et al. (CoRR, 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; et al. (CoRR, 2022)

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)

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)

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing. - Madeline Anderson; Miriam Cha; William T. Freeman; Taylor Perron; Nathaniel Maidel; Kerri Cahoy (CoRR, 2025)