Neural fields, also known as coordinate-based or implicit neural
represe...
Neural radiance fields (NeRF) have demonstrated the potential of
coordin...
Neural fields have emerged as a new data representation paradigm and hav...
Scene flow estimation, which extracts point-wise motion between scenes, ...
The need for automatic design of deep neural networks has led to the
eme...
Implicit neural representation (INR) has emerged as a powerful paradigm ...
With their high energy efficiency, processing-in-memory (PIM) arrays are...
With increasing applications of 3D hand pose estimation in various
human...
On-line Precision scalability of the deep neural networks(DNNs) is a cri...
Deep learning on an edge device requires energy efficient operation due ...
This paper introduces partitioning an inference task of a deep neural ne...
While deep neural networks have shown powerful performance in many audio...
Deep neural network classifiers are vulnerable to small input perturbati...