A comparative study of manifold learning methods for scRNA-seq with a trajectory-aware metric
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-14301-8
Abstract: Single-cell RNA sequencing (scRNA-seq) enables detailed analysis of cellular diversity, but the data’s high dimensionality presents analytical challenges. We compare four dimensionality reduction methods-PCA, t-SNE, UMAP, and Diffusion Maps-on three benchmark scRNA-seq datasets (PBMC3k, Pancreas,… read more here.
Keywords: study manifold; trajectory aware; comparative study; scrna seq ... See more keywords
Depth Trajectory-Aware Stereoscopic Video Retargeting
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3059477
Abstract: The image/video retargeting (resolution adaptation) problem—adaption of source data (image/video) to different screen resolution—has garnered wide attention due to compelling applications in intelligent adaptive display. Most of the current image/video displaying application achieves the adaption… read more here.
Keywords: video; stereoscopic video; trajectory aware; video retargeting ... See more keywords
Boosting UAV Tracking With Voxel-Based Trajectory-Aware Pre-Training
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3236583
Abstract: Siamese network-based object tracking has remarkably promoted the automatic capability for highly-maneuvered unmanned aerial vehicles (UAVs). However, the leading-edge tracking framework often depends on template matching, making it trapped when facing multiple views of object… read more here.
Keywords: training; uav tracking; boosting uav; trajectory aware ... See more keywords
SNR-Prior Guided Trajectory-Aware Transformer for Low-Light Video Enhancement
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3299232
Abstract: Recently, deep learning has been widely employed to improve the quality of low-light videos. However, most existing low-light video enhancement methods fail to effectively explore temporal dependence, and the enhanced videos may suffer from severe… read more here.
Keywords: video; trajectory aware; low light; video enhancement ... See more keywords