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Found 8 papers, 3 papers with code
Temporal Consistent Automatic Video Colorization via Semantic Correspondence
Extensive experiments demonstrate that our method outperforms other methods in maintaining temporal consistency both qualitatively and quantitatively.
SPColor: Semantic Prior Guided Exemplar-based Image Colorization
Previous methods search for correspondence across the entire reference image, and this type of global matching is easy to get mismatch.
Exemplar-based Video Colorization with Long-term Spatiotemporal Dependency
Exemplar-based video colorization is an essential technique for applications like old movie restoration.
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
To address these problems, we propose a model called PathSAGE, which can learn high-order topological information and improve the model's performance by expanding the receptive field.
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
As the foundation of driverless vehicle and intelligent robots, Simultaneous Localization and Mapping(SLAM) has attracted much attention these days.
ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching
Based on this database we build a model to reverse the forgetting process.
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated electron cryo-microscopy (cryo-EM).
A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution
Heterogeneous face recognition (HFR) refers to matching face imagery across different domains.
