Yaoxin Zhuo — accepted AI-conference papers

2024

Transformer-Based Selective Super-resolution for Efficient Image Refinement

Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao

AAAI 2024technical

Conventional super-resolution methods suffer from two drawbacks: substantial computational cost in upscaling an entire large image, and the introduction of extraneous or potentially detrimental information for downstream computer vision tasks during the refinement of the background. To solve these i…

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2019

Weakly Supervised Deep Image Hashing Through Tag Embeddings

Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li

CVPR 2019poster

Many approaches to semantic image hashing have been formulated as supervised learning problems that utilize images and label information to learn the binary hash codes. However, large-scale labelled image data is expensive to obtain, thus imposing a restriction on the usage of such algorithms. On th…

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