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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...
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06/10/2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
Vision Transformers (ViTs) have shown impressive performance and have be...
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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...
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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...
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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...
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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...
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05/17/2022
