China
Hangzhou Dianzi University
point cloud, no-reference point cloud quality assessment (NR-PCQA), feature fusion, Deep learning, Mamba
adaptive sampling, local depth propagation, pixel-wise focal loss
Unmanned aerial vehicle images, Small target detection, Hierarchical feature pyramid fusion, Multi-scale features
Depth Map Enhancement, lightweight network, Wavelet transform, Synthesized view, CNN
Surveillance video, parallel compression, background update, occlusion.
3D neural network, Learning-based RGBD image compression, Encoder-decoder network, 3D channel autoregressive entropy model
Noise Conversion, Image Denoising, Style Transfer, Low-Light Enhanced Image Restoration
unsupervised low-light image enhancement, local histogram equalization, domain adaptation
