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Chapter and Conference Paper
Single Cross-domain Semantic Guidance Network for Multimodal Unsupervised Image Translation
Multimodal image-to-image translation has received great attention due to its flexibility and practicality. The existing methods lack the generality of effective style representation, and cannot capture differ...
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Article
Reversible multi-watermarking for color images with grayscale invariance
As a special way of hiding information, reversible data hiding is mostly used to embed data into digital multimedia. The original multimedia and embedded data can be restored from the watermarked one without a...
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Article
Feature constraint reinforcement based age estimation
As one of the critical biological characteristics of human age, the face has been widely studied for age prediction, which has broad application prospects in the fields of commerce, security, entertainment, et...
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Article
Open AccessParalinguistic and spectral feature extraction for speech emotion classification using machine learning techniques
Emotion plays a dominant role in speech. The same utterance with different emotions can lead to a completely different meaning. The ability to perform various of emotion during speaking is also one of the typi...
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Article
Open AccessExperimental demonstration of position-controllable topological interface states in high-frequency Kitaev topological integrated circuits
Topological integrated circuits are integrated-circuit realizations of topological systems. Here we show an experimental demonstration by taking the case of the Kitaev topological superconductor model. An inte...
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Article
Recognition of score words in freestyle kayaking using improved DTW matching
Voice is the most natural information carrier for human beings, and is likely to become the main method of human–computer interaction in the future. This article focuses on the recognition of score words in fr...
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Article
SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning
Despite the significant progress made in object detection algorithms, their potential to operate effectively under the low-light environment remains to be fully explored. Recent methods realize dark object det...
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Article
Multi-granularity hypergraph-guided transformer learning framework for visual classification
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships. Hierarchical multi-granularity visual classification strives to cate...
