Miriam Cha - RankMe

33 papers A* 2A 2B 2C 1Misc 3Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing. CoRR Madeline Anderson, Miriam Cha, William T. Freeman, Taylor Perron, Nathaniel Maidel, Kerri Cahoy
2023	J	`jnl`	Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman
2022	J	`jnl`	Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR 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
2022	J	`jnl`	MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR 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
2022	—	`conf`	RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. CoRR Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
2021	—	`conf`	Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	J	`jnl`	Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	—	`conf`	SAR-to-EO Image Translation with Multi-Conditional Adversarial Networks. ACSCC Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
2019	A*	`conf`	Adversarial Learning of Semantic Relevance in Text to Image Synthesis. AAAI Miriam Cha, Youngjune L. Gwon, H. T. Kung
2018	J	`jnl`	Adversarial Learning of Semantic Relevance in Text to Image Synthesis. CoRR Miriam Cha, Youngjune L. Gwon, H. T. Kung
2018	Misc	`conf`	Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber
2017	—	`conf`	Adversarial nets with perceptual losses for text-to-image synthesis. MLSP Miriam Cha, Youngjune Gwon, H. T. Kung
2017	J	`jnl`	Adversarial nets with perceptual losses for text-to-image synthesis. CoRR Miriam Cha, Youngjune Gwon, H. T. Kung
2017	A	`conf`	Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CIKM Miriam Cha, Youngjune Gwon, H. T. Kung
2017	J	`jnl`	Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CoRR Miriam Cha, Youngjune Gwon, H. T. Kung
2016	B	`conf`	Deep Sparse-coded Network (DSN). ICPR Youngjune Gwon, Miriam Cha, H. T. Kung
2016	—	`conf`	Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri
2016	B	`conf`	Lambda means clustering: Automatic parameter search and distributed computing implementation. ICPR Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon
2016	J	`jnl`	Multimodal Sparse Coding for Event Detection. CoRR Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung
2016	—	`conf`	Sparse-coded net model and applications. MLSP Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli
2015	A*	`conf`	Geolocation with Subsampled Microblog Social Media. ACM Multimedia Miriam Cha, Youngjune Gwon, H. T. Kung
2015	J	`jnl`	Multimodal sparse representation learning and applications. CoRR Miriam Cha, Youngjune Gwon, H. T. Kung
2015	A	`conf`	Twitter Geolocation and Regional Classification via Sparse Coding. ICWSM Miriam Cha, Youngjune Gwon, H. T. Kung
2015	J	`jnl`	Two-Stage Change Detection for Synthetic Aperture Radar. IEEE Trans. Geosci. Remote. Sens. Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe, Christ D. Richmond
2014	Misc	`conf`	Combined intensity and coherent change detection for synthetic aperture radar. ICASSP Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe
2014	C	`conf`	Joint SAR image compression and coherent change detection. IGARSS Miriam Cha, Myra Nam, Kelly Geyer
2012	—	`conf`	Automatic track tracing in SAR CCD images using search cues. ACSCC Miriam Cha, Rhonda D. Phillips
2012	—	`conf`	Test statistics for synthetic aperture radar coherent change detection. SSP Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe
2011	Misc	`conf`	Finding curves in SAR CCD images. ICASSP Miriam Cha, Rhonda D. Phillips, Michael Yee
2010	—	`conf`	Robust local binary pattern feature sets for periocular biometric identification. BTAS Juefei Xu, Miriam Cha, Joseph Heyman, Shreyas Venugopalan, Ramzi Abiantun, Marios Savvides