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Found 6 papers, 1 papers with code
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
Graph Neural Networks (GNNs) succeed significantly in many applications recently.
Anything in Any Scene: Photorealistic Video Object Insertion
Our proposed general framework encompasses three key processes: 1) integrating a realistic object into a given scene video with proper placement to ensure geometric realism; 2) estimating the sky and environmental lighting distribution and simulating realistic shadows to enhance the light realism; 3) employing a style transfer network that refines the final video output to maximize photorealism.
Energy-efficient Integrated Sensing and Communication System and DNLFM Waveform
In this paper, the ISAC system employs dedicated sensing signals, which can be reused as the communication reference signal.
Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN using T1-MRI
Besides, existing methods capture global structural context only on the whole-image-level, which weaken correlation between regions and the hierarchical distribution nature of brain connectivity. We hereby propose a novel dynamic structural brain network construction method based on T1-MRI, which can dynamically localize critical regions and constrain the hierarchical distribution among them for constructing dynamic structural brain network.
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
To the best of our knowledge, 3DG-STFM is the first student-teacher learning method for the local feature matching task.
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning
Firstly, a deep Gaussian process (DGP) model is built on the historical data to learn empirical knowledge.
