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Article
Poincaré Kernels for Hyperbolic Representations
Embedding data in hyperbolic spaces has proven beneficial for many advanced machine learning applications. However, working in hyperbolic spaces is not without difficulties as a result of its curved geometry (e.g
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Article
Beyond a strong baseline: cross-modality contrastive learning for visible-infrared person re-identification
Cross-modality pedestrian image matching, which entails the matching of visible and infrared images, is a vital area in person re-identification (reID) due to its potential to facilitate person retrieval acros...
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Chapter and Conference Paper
A Benchmark for Understanding Dialogue Safety in Mental Health Support
Dialogue safety remains a pervasive challenge in open-domain human-machine interaction. Existing approaches propose distinctive dialogue safety taxonomies and datasets for detecting explicitly harmful response...
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Chapter and Conference Paper
Hidden Two-Stream Convolutional Networks for Action Recognition
Analyzing videos of human actions involves understanding the temporal relationships among video frames
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Article
E-LAMP: integration of innovative ideas for multimedia event detection
Detecting multimedia events in web videos is an emerging hot research area in the fields of multimedia and computer vision. In this paper, we introduce the core methods and technologies of the framework we dev...