Efficiently detect 3D objects in 2D range image with graph convolution kernels

Getting 3D shapes from a single image

Quickly identify object in many camera views using tree of neural nets

Answering questions about an image using outside knowledge

Get hand interactions in 3D in real-time from monocular video

Learning by comparing images improved by understanding objects

Finding prominent objects in images without manual labeled training

Training with modified data like using 10 times more data

Get 3D pose and shape of people from monocular images

Survey of continual learning for image classification

Counting new objects in image using only a few examples

Transformer for super-resolution video

Faster segmentation of objects in video with new affinity formula

Real-time 3D face mesh from one camera on phones

Improved segmentation of objects and regions in images without object proposals

Survey of transformers for vision, text, and audio

Survey of deep learning for image retrieval

Explaining the result for an image classification

Unblurring defocused images using multi-branch neural networks

Advantages of nested transformers for computer vision