Survey of super-resolution advances including diffusion and transformers Hitchhiker's Guide to Super-Resolution: Introduction and Recent...

Survey of deep learning for high-resolution computer vision Efficient High-Resolution Deep Learning: A Survey arXiv paper abstract...

Survey of crowd counting with computer vision Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives arXiv paper...

Video correspondence by self-supervised learning with less cost by using spatial then time with Li Spatial-then-Temporal Self-Supervised...

Get background even when have a moving camera using transformers with DeepMCBM A Deep Moving-camera Background Model arXiv paper abstract...

Simpler unsupervised object segmentation in videos using spectral clustering with SSL-VOS A Simple and Powerful Global Optimization for...

Get optical flow and object orientation even with lighting changes with INV-Flow2PoseNet INV-Flow2PoseNet: Light-Resistant Rigid Object...

Get object orientation without training and without 3D model with PIZZA PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF...

Survey of vision transformers for action recognition Vision Transformers for Action Recognition: A Survey arXiv paper abstract...

Survey of transformers for remote sensing Transformers in Remote Sensing: A Survey arXiv paper abstract https://arxiv.org/abs/2209.01206v...

Improve video retrieval with text by comparing coarse and fine features with X-CLIP X-CLIP: End-to-End Multi-grained Contrastive Learning...

Better segmentation by using the distribution of categories with MCIBI++ MCIBI++: Soft Mining Contextual Information Beyond Image for...

Get depth and new views from one image by coding for shape, appearance, pose with im2nerf im2nerf: Image to Neural Radiance Field in the...

Self-supervised segmentation by students using transformers and CNN with TCC Transformer-CNN Cohort: Semi-supervised Semantic...

Complete point clouds with missing data by coarse to local method with SPCNet SPCNet: Stepwise Point Cloud Completion Network arXiv paper...

Improve 3D object reconstruction by using point and normal features together with PCDNF PCDNF: Revisiting Learning-based Point Cloud...

3D object retrieval using hand sketch, text, and image inputs with Schlachter Zero-Shot Multi-Modal Artist-Controlled Retrieval and...

Survey of 3D mesh denoising using geometric and learning methods Geometric and Learning-based Mesh Denoising: A Comprehensive Survey...

Better 3D object reconstruction with volume representations with SRDF Multi-View Reconstruction using Signed Ray Distance Functions...

Improve segmentation of unknown objects by using a single stage with SOIS Single-Stage Open-world Instance Segmentation with Cross-task...