Existing automated dubbing methods are usually designed for Professional...
Multimodal Large Language Model (MLLM) recently has been a new rising
re...
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
We introduce MQ-Det, an efficient architecture and pre-training strategy...
Heterogeneous Face Recognition (HFR) aims to match faces across differen...
Identity transfer often faces the challenge of generalizing to new situa...
We present a new application direction named Pareidolia Face Reenactment...
Visible-Infrared person re-identification (VI-ReID) aims at matching
cro...
Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...
Discrete optimization is one of the most intractable problems in deep
ha...
The cross-sensor gap is one of the challenges that arise much research
i...
Face manipulation has shown remarkable advances with the flourish of
Gen...
Heterogeneous Face Recognition (HFR) is a challenging issue because of t...
Deep supervised hashing has become an active topic in web search and
inf...