Photorealistic style transfer aims to transfer the artistic style of an ...
This paper introduces a new few-shot learning pipeline that casts releva...
Current benchmarks for facial expression recognition (FER) mainly focus ...
This paper presents new hierarchically cascaded transformers that can im...
Affective computing plays a key role in human-computer interactions,
ent...
Feature pyramids have been proven powerful in image understanding tasks ...
Deep features have been proven powerful in building accurate dense seman...
Weakly-supervised instance segmentation aims to detect and segment objec...
Given a training dataset composed of images and corresponding category
l...
We present a novel hierarchical triplet loss (HTL) capable of automatica...
Single image superresolution has been a popular research topic in the la...
Supervised object detection and semantic segmentation require object or ...
Deep neural networks require a large amount of labeled training data dur...