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Article
MAF-Net: multidimensional attention fusion network for multichannel speech separation
Recent studies have shown that multichannel narrow-band speech separation achieves remarkable performance, while most successful deep learning-based studies directly work on the full-band spectrum of speech. M...
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Chapter and Conference Paper
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
When designing a diagnostic model for a clinical application, it is crucial to guarantee the robustness of the model with respect to a wide range of image corruptions. Herein, an easy-to-use benchmark is estab...
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Chapter and Conference Paper
Semantic Video Entity Linking
Knowledge graphs are an established technology in the field of information retrieval and question answering. However, the focus is mostly on searching web pages and related documents and less on video formats,...
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Article
Automatic embroidery texture synthesis for garment design and online display
We introduce an automatic texture synthesis-based framework to convert an arbitrary input image into embroidery style art for garment design and online display. Given an input image and some reference textures...
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Chapter and Conference Paper
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer, whose index can be evaluated by quantifying its expression in Ki67 immunohistochemistry (IHC) stained images. However, quantitative ana...
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Article
Caricature synthesis with feature deviation matching under example-based framework
Example-based caricature synthesis techniques have been attracting large attentions for being able to generate attractive caricatures of various styles. This paper proposes a new example-based caricature synth...
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Article
Retrieval of clothing images based on relevance feedback with focus on collar designs
The content-based image retrieval methods are developed to help people find what they desire based on preferred images instead of linguistic information. This paper focuses on capturing the image features repr...