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Research Interests
My research has spanned a range of topics in vision. My primary focus has been on the problem of how to recognize objects in images. This is a central problem in vision that I find particularly fascinating because it lies between concrete, lower-level vision problems and central cognitive systems that attempt to tie semantics to the world. It is also a critical problem in many applications in multimedia and robotics. I have also done quite a bit of work in the computational and psychological study of perceptual organization. This is the lower level problem of how to identify the surfaces of potential objects before recognizing them. I see perceptual organization as integral to the recognition process, and in part my work attempts to show how these two problems can be unified.
My recent work in recognition has mainly focused on understanding how to recognize objects under varying lighting conditions, and how to match images of objects that may deform or otherwise vary non-rigidly. I have also been interested in using techniques from computer vision in developing user interfaces and in graphics. Our group is applying some of this work to build an electronic field guide for botanists, using object recognition methods to automatically match the leaves of plants. That work is in collaboration with people at the Smithsonian Institute, and at Columbia University.
研究兴趣
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arxiv(2024)
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CVPR 2023 (2023): 6840-6849
CVPR 2023 (2023): 18846-18856
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