research
∙
08/17/2023
Long-Range Grouping Transformer for Multi-View 3D Reconstruction
Nowadays, transformer networks have demonstrated superior performance in...
share
research
∙
07/27/2023
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
Sign Language Translation (SLT) is a challenging task due to its cross-d...
research
∙
04/15/2023
MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing
The existing multi-modal face anti-spoofing (FAS) frameworks are designe...
research
∙
02/27/2023
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
In recent years, many video tasks have achieved breakthroughs by utilizi...
research
∙
11/16/2022
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
Motion recognition is a promising direction in computer vision, but the ...
research
∙
11/04/2022
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Deep learning technology has made great progress in multi-view 3D recons...
research
∙
09/29/2022
Effective Vision Transformer Training: A Data-Centric Perspective
Vision Transformers (ViTs) have shown promising performance compared wit...
research
∙
04/15/2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
How to utilize deep learning methods for graph classification tasks has ...
research
∙
08/28/2019