activity
20242026
most citedLRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation

4 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

2 papers · 2 filters

cs.CV2024

Waterfall Transformer for Multi-person Pose Estimation

Navin Ranjan, Bruno Artacho, Andreas Savakis

We propose the Waterfall Transformer architecture for Pose estimation (WTPose), a single-pass, end-to-end trainable framework designed for multi-person pose estimation. Our framewo…

cs.CV2024★ 4 cited

LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation

Navin Ranjan, Andreas Savakis

Vision transformers (ViTs) have demonstrated remarkable performance across various visual tasks. However, ViT models suffer from substantial computational and memory requirements,…