3 papers
cs.AI2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi +3
Following their success in natural language processing (NLP), there has been a shift towards transformer models in computer vision. While transformers perform well and offer promis…
cs.CV2023
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
Yonggan Fu, Yuecheng Li, Chenghui Li +4
Real-time and robust photorealistic avatars for telepresence in AR/VR have been highly desired for enabling immersive photorealistic telepresence. However, there still exists one k…
cs.CV2022
DRESS: Dynamic REal-time Sparse Subnets
Zhongnan Qu, Syed Shakib Sarwar, Xin Dong +3
The limited and dynamically varied resources on edge devices motivate us to deploy an optimized deep neural network that can adapt its sub-networks to fit in different resource con…