research
∙
08/16/2023
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
Nowadays, deep learning based methods have demonstrated impressive perfo...
share
research
∙
06/10/2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
Vision Transformers (ViTs) have shown impressive performance and have be...
research
∙
04/24/2023
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable...
research
∙
11/09/2022
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention
Vision Transformer (ViT) has emerged as a competitive alternative to con...
research
∙
10/24/2022
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks
Multiplication is arguably the most cost-dominant operation in modern de...
research
∙
10/18/2022
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Vision Transformers (ViTs) have achieved state-of-the-art performance on...
research
∙
05/17/2022