Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …

Deep convolutional neural networks have been successfully applied to face detection
recently. Despite making remarkable progress, most of the existing detection methods only …

As a crucial component in intelligent transportation systems, traffic flow prediction has
recently attracted widespread research interest in the field of artificial intelligence (AI) with …

Temporally language grounding in untrimmed videos is a newly-raised task in video
understanding. Most of the existing methods suffer from inferior efficiency, lacking …

Existing face hallucination methods always achieve improved performance through
regularizing the model with facial prior. Most of them always estimate facial prior information …

Deep reinforcement learning (RL) has been applied extensively to solve complex decision-
making problems. In many real-world scenarios, tasks often have several conflicting …

Blind face restoration aims at recovering high-quality face images from those with unknown
degradations. Current algorithms mainly introduce priors to complement high-quality details …

With the increasing popularity of convolutional neural networks (CNNs), recent works on
face-based age estimation employ these networks as the backbone. However, state-of-the …

Face detection and recognition will be considered as one of the most intriguing modalities
for biometric models. Those researches are mainly required for ensuring security in a most …

Temporal grounding of natural language in untrimmed videos is a fundamental yet
challenging multimedia task facilitating cross-media visual content retrieval. We focus on the …