research
∙
04/24/2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers
The most performant spatio-temporal action localisation models use exter...
share
research
∙
06/15/2022
VCT: A Video Compression Transformer
We show how transformers can be used to vastly simplify neural video com...
research
∙
11/25/2021
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
A classical problem in computer vision is to infer a 3D scene representa...
research
∙
11/25/2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Can we train a single transformer model capable of processing multiple m...
research
∙
05/04/2021
MLP-Mixer: An all-MLP Architecture for Vision
Convolutional Neural Networks (CNNs) are the go-to model for computer vi...
research
∙
03/29/2021
ViViT: A Video Vision Transformer
We present pure-transformer based models for video classification, drawi...
research
∙
11/29/2018
