Get absolute depth of scene from monocular image by diffusion, field-of-view, augmentation with DMD

Get 3D object shape using a prior from fusing multiple local SDF fields with PR-NeuS

Real-time super-resolution video by propagating the motion field of the previous frame with TMP

Survey of unknown object detection with Barcina-Blanco

Segment unknown objects using VLM to filter texts and enhance masks with CLIP as RNN

Segment 3D scene with only class existence tags by using scene primitives with Densify Your Labels

Segment object with few examples using multi-level prototype generation with Bao

Get 3D object from many views as good as scanner using multi-resolution hash encode with SuperNormal

Segment scene in unknown domains by efficiently fine-tuning Vision Foundation Models with Rein

Segment object with only image labels using CLIP and SAM to make segmentation seeds with Yang

Survey of image classification with vision transformers

Survey of methods for handling distribution shifts for robust computer vision

Get 3D object from monocular RGB-D video using diffusion prior with MorpheuS

Segment areas, objects, and parts in a scene at the same time with JPPF

Segment scene using information from vision-language models without neural training with PnP-OVSS

Segment scene using vision-language models for diverse semantic knowledge with SemiVL

Segment image into open set of categories using cost from a hierarchical encoder with SED

Segment image with one example using model correspondence between example and target with SEGIC

Real-time object pose from one RGB-D image using hierarchical binary surface encoding with HiPose

Detect unknown and known objects using CLIP, SAM, and GDINO with cooperative-foundational-models