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Chapter and Conference Paper
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Acquiring and annotating sufficient labeled data is crucial in develo** accurate and robust learning-based models, but obtaining such data can be challenging in many medical image segmentation tasks. One pro...
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Chapter and Conference Paper
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation
Recent advancements in self-supervised learning have demonstrated that effective visual representations can be learned from unlabeled images. This has led to increased interest in applying self-supervised lear...
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Chapter and Conference Paper
PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation
Recently, the vision transformer and its variants have played an increasingly important role in both monocular and multi-view human pose estimation. Considering image patches as tokens, transformers can model ...
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Chapter and Conference Paper
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images
Reconstructing 3D hand meshes from monocular RGB images has attracted increasing amount of attention due to its enormous potential applications in the field of AR/VR. Most state-of-the-art methods attempt to t...
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Chapter and Conference Paper
Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks
5G network demands massive infrastructure deployment to meet its requirements. The most cost-effective deployment solution is now a challenge. This paper identifies a cost implementation strategy for 5G by re...
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Chapter and Conference Paper
Dynamic Abstraction of Optical Networks with Machine Learning Technologies
The emerging 5G network will bring a huge amount of network traffic with big variations to optical transport networks. Software-defined optical networks and network function virtualization contribute to the v...
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Article
Hardware-programmable optical networks
For future multi-dimensional optical networks, vast network resources provided by space division multiplexing and wavelength division multiplexing technologies, require new network architectures to scale up cu...
