4 Result(s)
within
Kui Jia
Computer Science
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Chapter and Conference Paper
Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition
We investigate the problem of finding the correspondence from multiple images, which is a challenging combinatorial problem. In this work, we propose a robust solution by exploiting the priors that the rank of...
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Chapter and Conference Paper
Towards Optimal Design of Time and Color Multiplexing Codes
Multiplexed illumination has been proved to be valuable and beneficial, in terms of noise reduction, in wide applications of computer vision and graphics, provided that the limitations of photon noise and satu...
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Chapter and Conference Paper
Robust and Practical Face Recognition via Structured Sparsity
Sparse representation based classification (SRC) methods have recently drawn much attention in face recognition, due to their good performance and robustness against misalignment, illumination variation, and o...
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Chapter and Conference Paper
Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data
Fine-grained visual categorization (FGVC) is challenging due in part to the fact that it is often difficult to acquire an enough number of training samples. To employ large models for FGVC without suffering fr...
