Get improved room layout from image by using pixel meaning with SRW-Net
Better image classification in new domain by focusing on foreground with RobustViT
Train 3D segmentation network using simple bounding boxes with Box2Mask
Improve 3D scene reconstruction using monocular depth and normal cues with MonoSDF
Get 3D object from images captured under unknown conditions in the wild with SAMURAI
Adapt visual tasks to new domain without source domain data with DistillAdapt
Better object pose and tracking by propagating keypoints with CenterPoseTrack
Improve human motion estimate in video using physics with HUND+SO+GT+Dynamics
3D object pose from video scan without CAD model or training with OnePose
Explain image classifier by showing features in source and target domains with XSDA-Net
Enhance dark images in new untrained domain by simulating image pipeline for training
Classify small images accurately using little memory and CPU with ImageSig
Better object segmentation of unknown objects using region awareness with RAML
3D object reconstruction using a few views despite noisy camera poses with FvOR
Survey of learning from only a few examples with computer vision applications
Survey of filling in missing depth data using deep learning
Improve 3D object reconstruction using unsupervised learning on image collection with TARS
3D shape, segmentation, appearance, and object poses from images using neural fields with PNF
Better segment aerial photo by learning multi-resolution features with IFWM
Count crowds accurately even after add new domain with FLCB