Survey of low-light image and video enhancement
Survey of graph neural networks in computer vision with architectures, datasets, common approaches
Survey of Neural Radiance Field in 3D Vision
Improve image segmentation by identifying and relabeling out-of-candidate pixels with OCR
Reconstruct 3D objects using multi-view features and signed ray distance functions with VolRecon
Better object detection with few examples by get characteristics regardless of class with hANMCL
Improve object segmentation in video using instance information with ISVOS
3D scene reconstruction when data sparse by filling in using diffusion with rgbd-diffusion
Better segmentation with semi-supervised learning by augmentation with AugSeg
Continually adapt model to new domains without catastrophic forget using visual prompts with CTAP
Improve depth resolution at any scaling factor using geometric information with GeoDSR
Better object detection by filtering extra unlabeled data with RUPL
Improve human pose estimation using distance and direction of keypoints with Ji
Better object detection when train with image-level labels by using synthetic data with D2DF2WOD
Get 3D object geometry and new views from 2 images by getting consistent scenes with SparseFusion
Improve 3D surface reconstruction from point clouds using geometry in distance function with GeoUDF
Better image segmentation by using image preprocessing network for a model by with ION
Retrieve images having a region similar to what is highlighted in the query with VFS
Reconstruct 3D objects even with open surfaces using unsigned distance functions with NeuralUDF
Monocular 3D depth for edge device with self-supervised learn by CNN and transformers with Lite-Mono