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Miriam Cha
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2020 – today
- 2023
- [i12]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 abs/2306.04738 (2023) - [i11]Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland:
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR abs/2310.19635 (2023) - 2022
- [c19]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: 22-31 - [i10]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 abs/2204.07649 (2022) - [i9]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 abs/2207.07033 (2022) - [i8]Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey:
SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. CoRR abs/2207.13184 (2022) - [i7]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR abs/2208.03218 (2022) - 2021
- [c18]Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey:
SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. ACSCC 2021: 1710-1714 - [c17]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: 273-283 - [i6]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 abs/2103.04537 (2021)
2010 – 2019
- 2019
- [c16]Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. AAAI 2019: 3272-3279 - 2018
- [c15]Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber:
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP 2018: 2606-2610 - [i5]Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. CoRR abs/1812.05083 (2018) - 2017
- [c14]Miriam Cha, Youngjune Gwon, H. T. Kung:
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CIKM 2017: 2003-2006 - [c13]Miriam Cha, Youngjune Gwon, H. T. Kung:
Adversarial nets with perceptual losses for text-to-image synthesis. MLSP 2017: 1-6 - [i4]Miriam Cha, Youngjune Gwon, H. T. Kung:
Adversarial nets with perceptual losses for text-to-image synthesis. CoRR abs/1708.09321 (2017) - [i3]Miriam Cha, Youngjune Gwon, H. T. Kung:
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CoRR abs/1709.01888 (2017) - 2016
- [c12]Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon:
Lambda means clustering: Automatic parameter search and distributed computing implementation. ICPR 2016: 2331-2337 - [c11]Youngjune Gwon, Miriam Cha, H. T. Kung:
Deep Sparse-coded Network (DSN). ICPR 2016: 2610-2615 - [c10]Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli:
Sparse-coded net model and applications. MLSP 2016: 1-6 - [c9]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: 11-18 - [i2]Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung:
Multimodal Sparse Coding for Event Detection. CoRR abs/1605.05212 (2016) - 2015
- [j1]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): 6547-6560 (2015) - [c8]Miriam Cha, Youngjune Gwon, H. T. Kung:
Twitter Geolocation and Regional Classification via Sparse Coding. ICWSM 2015: 582-585 - [c7]Miriam Cha, Youngjune Gwon, H. T. Kung:
Geolocation with Subsampled Microblog Social Media. ACM Multimedia 2015: 891-894 - [i1]Miriam Cha, Youngjune Gwon, H. T. Kung:
Multimodal sparse representation learning and applications. CoRR abs/1511.06238 (2015) - 2014
- [c6]Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe:
Combined intensity and coherent change detection for synthetic aperture radar. ICASSP 2014: 8120-8123 - [c5]Miriam Cha, Myra Nam, Kelly Geyer:
Joint SAR image compression and coherent change detection. IGARSS 2014: 13-16 - 2012
- [c4]Miriam Cha, Rhonda D. Phillips:
Automatic track tracing in SAR CCD images using search cues. ACSCC 2012: 1825-1829 - [c3]Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe:
Test statistics for synthetic aperture radar coherent change detection. SSP 2012: 856-859 - 2011
- [c2]Miriam Cha, Rhonda D. Phillips, Michael Yee:
Finding curves in SAR CCD images. ICASSP 2011: 2024-2027 - 2010
- [c1]Juefei Xu, Miriam Cha, Joseph Heyman, Shreyas Venugopalan, Ramzi Abiantun, Marios Savvides:
Robust local binary pattern feature sets for periocular biometric identification. BTAS 2010: 1-8
Coauthor Index
aka: Youngjune L. Gwon
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