Survey of super-resolution advances including diffusion and transformers
Survey of deep learning for high-resolution computer vision
Survey of crowd counting with computer vision
Video correspondence by self-supervised learning with less cost by using spatial then time with Li
Get background even when have a moving camera using transformers with DeepMCBM
Simpler unsupervised object segmentation in videos using spectral clustering with SSL-VOS
Get optical flow and object orientation even with lighting changes with INV-Flow2PoseNet
Get object orientation without training and without 3D model with PIZZA
Survey of vision transformers for action recognition
Survey of transformers for remote sensing
Improve video retrieval with text by comparing coarse and fine features with X-CLIP
Better segmentation by using the distribution of categories with MCIBI++
Get depth and new views from one image by coding for shape, appearance, pose with im2nerf
Self-supervised segmentation by students using transformers and CNN with TCC
Complete point clouds with missing data by coarse to local method with SPCNet
Improve 3D object reconstruction by using point and normal features together with PCDNF
3D object retrieval using hand sketch, text, and image inputs with Schlachter
Survey of 3D mesh denoising using geometric and learning methods
Better 3D object reconstruction with volume representations with SRDF
Improve segmentation of unknown objects by using a single stage with SOIS