In this paper, we study a novel problem in egocentric action recognition...
Neural volumetric representations have shown the potential that Multi-la...
Advanced deep neural networks (DNNs), designed by either human or AutoML...
Representing visual signals by implicit representation (e.g., a coordina...
Efficient video architecture is the key to deploying video recognition
s...
Conventional video models rely on a single stream to capture the complex...
This work targets designing a principled and unified training-free frame...
Artistic style transfer aims to transfer the style characteristics of on...
Neural Architecture Search (NAS) has been explosively studied to automat...
We present Sandwich Batch Normalization (SaBN), an embarrassingly easy
i...
Machine learning (ML) systems often encounter Out-of-Distribution (OoD)
...
Speaker recognition systems based on Convolutional Neural Networks (CNNs...
We present FasterSeg, an automatically designed semantic segmentation ne...
Neural architecture search (NAS) has witnessed prevailing success in ima...
Deep learning-based methods have achieved remarkable success in image
re...
Flow-based generative models show great potential in image synthesis due...
Neural style transfer is an emerging technique which is able to endow
da...