Re-identify people in images using multi-stage transformers with COAT

Train object detector by labeling only 1 point of object with NSS

Fix incomplete 3D depth data by using RGB image and GAN with RDF-GAN

Scene segmentation without labeling by combining images and LiDAR with Drive&Segment

Real-time HybridNets detects traffic object, drivable area, and road lane

Object detection using one example by using scale and features with SaFT

Image segmentation without training labels by clustering features with STEGO

Real-time 3D reconstruction despite occlusion using motion prediction with OcclusionFusion

Faster and more accurate scene segmentation by being aware of the decoder stages with SFANet

Combine knowledge of many vision transformers into a smaller multi-talented model

Improve segmentation in bin picking by using part awareness

Get 3D layout of room from a panoramic image with LGT-Net

Convert a blurry image to a sharp video using a continuous intensity function with E-CIR

Survey of continuous human action recognition

Survey of re-identifying people seen by multiple cameras for various problem types

Real-time object segmentation in video with faster training using EfficientVIS

Better recognition of human actions using two-stage detection transformers

Improve scene segmentation with smaller models by distilling knowledge with SKR+PEA

Estimate the pixel map homograhy using image features and pixels

Segment objects of any type in image using model trained without manual annotations with FreeSOLO