Large language models (LLMs) have brought about significant transformati...
Large language models (LLMs) have made transformed changes for human soc...
In modern machine learning, attention computation is a fundamental task ...
Matrix sensing is a problem in signal processing and machine learning th...
While RGB-Infrared cross-modality person re-identification (RGB-IR ReID)...
RGB-Infrared (IR) person re-identification aims to retrieve
person-of-in...
RGB-Infrared person re-identification (RGB-IR ReID) is a challenging
cro...
Recent works have made great progress in semantic segmentation by exploi...
With the rapid development of deep convolutional neural network, face
de...
We present a novel introspective variational autoencoder (IntroVAE) mode...
Face completion aims to generate semantically new pixels for missing fac...
Face synthesis has been a fascinating yet challenging problem in compute...