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Research statement
My research is moved by the desire for a scientific and deeply conceptual theory of the principles behind the visual world. While biology provides reference visual systems, my focus is to devise scientific and athematical theories with large-scale, realistic and useful computer systems. Without a working computational model, can we claim to understand anything completely? Computer systems are theories made alive; they incorporate physical contexts against which the principles of a theory can be checked, generalized and improved. The mathematical theory in my research is based on differential geometry for modeling general structures from multiple images and for machine learning – a "geometrization" of computer vision (vaguely speaking).
My research is moved by the desire for a scientific and deeply conceptual theory of the principles behind the visual world. While biology provides reference visual systems, my focus is to devise scientific and athematical theories with large-scale, realistic and useful computer systems. Without a working computational model, can we claim to understand anything completely? Computer systems are theories made alive; they incorporate physical contexts against which the principles of a theory can be checked, generalized and improved. The mathematical theory in my research is based on differential geometry for modeling general structures from multiple images and for machine learning – a "geometrization" of computer vision (vaguely speaking).
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 6 (2023): 7870-7884
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Ricardo Fabbri,Timothy Duff,Hongyi Fan,Margaret H. Regan, David da Costa de Pinho,Elias P. Tsigaridas, Charles Wrampler,Jonathan D. Hauenstein,Benjamin B. Kimia,Anton Leykin,Tomás Pajdla
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017): 4560-4569
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International Journal of Computer Visionno. 3 (2016): 324-346
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