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个人简介
I am interested in statistical modeling and scalable computational techniques for computer vision and machine learning. My aim is to create theoretically sound, robust, and scalable computer vision and machine learning algorithms. I am interested in designing self assessment mechanisms that can reason about the correctness of a decision outcome given a noisy input, e.g., predicting the correctness of a nearest-neighbor classification outcome when matching features, computing non-uniform sampling strategies for speeding up sample-and-consensus model estimations, among others. I have created algorithms that use the statistical theory of extreme values to improve decision making processes in several computer vision and machine learning applications.
研究兴趣
论文共 30 篇作者统计合作学者相似作者
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International Journal of Computer Visionno. 6 (2023): 1-15
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020): 2207-2216
CVPR (2020): 8733-8742
user-61447a76e55422cecdaf7d19(2019)
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user-5f03edee4c775ed682ef5237(2018)
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