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Found 5 papers, 2 papers with code
TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction
To address the above issue, we design a plug-and-play module called TimeFormer to enable existing deformable 3D Gaussians reconstruction methods with the ability to implicitly model motion patterns from a learning perspective.
DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
Implicit neural representations for video (NeRV) have recently become a novel way for high-quality video representation.
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities
Energy Internet (EI) is emerging as new share economy platform for flexible local energy supplies in smart cities.
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
In this work, we propose a new GNN based trust evaluation method named TrustGNN, which integrates smartly the propagative and composable nature of trust graphs into a GNN framework for better trust evaluation.
A Fast Ellipse Detector Using Projective Invariant Pruning
Detecting elliptical objects from an image is a central task in robot navigation and industrial diagnosis where the detection time is always a critical issue.
