1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction
Xue Bai, Tasmiah Haque, Sumit Mohan +4
We propose a deep learning based novel prediction framework for enhanced bandwidth reduction in motion transfer enabled video applications such as video conferencing, virtual reali…
cs.CV2024★ 1 cited
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai, Mohammad Rostami
Transformer neural networks are increasingly replacing prior architectures in a wide range of applications in different data modalities. The increasing size and computational deman…
cs.LG2023★ 1 cited
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai, Jesse Thomason, Mohammad Rostami
The size and the computational load of fine-tuning large-scale pre-trained neural network are becoming two major obstacles in adopting machine learning in many applications. Contin…