Martin Q. Ma
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Martin Q. Ma |
About Me
Martin Q. Ma is a Ph.D. student in the School of Computer Science at Carnegie Mellon University and a visiting researcher at Meta Fundamental AI Research (FAIR) team, advised by Louis-Philippe Morency and Ruslan Salakhutdinov. He also collaborates with Paul Liang, Kun Zhang, and Yao-Hung Hubert Tsai. He is currently working on developing new video LLM reasoning methods. Specifically, his topics include improving video CoT reasoning by interleaving video frames and text in CoT via retrieval and generation, and improving inference efficiency by active frame selection via acquiring frames differing from expectations. He also worked on understanding self-supervised learning with theoretical frameworks, and designing self-supervised algorithms for multimodal tasks. His works have been published in NeurIPS, ICLR, CVPR, ICCV, and EMNLP, and were awarded a highlight in CVPR and an oral in NeurIPS Science meets Engineering of Deep Learning workshop.