Multimodal-driven talking face generation refers to animating a portrait...
Recently, emotional talking face generation has received considerable
at...
Auto-Regressive (AR) models have achieved impressive results in 2D image...
The last decades are marked by massive and diverse image data, which sho...
To achieve promising results on blind image super-resolution (SR), some
...
Point cloud completion has become increasingly popular among generation ...
Unsupervised Domain Adaptation (UDA) aims to adapt the model trained on ...
Prevailing video frame interpolation algorithms, that generate the
inter...
Spotting camouflaged objects that are visually assimilated into the
back...
Generating artistic portraits is a challenging problem in computer visio...
Recently, there is growing attention on one-stage panoptic segmentation
...
In the practical application of restoring low-resolution gray-scale imag...
Weakly supervised object localization (WSOL) aims to learn object locali...
Restoring reasonable and realistic content for arbitrary missing regions...
Deep-learning based Super-Resolution (SR) methods have exhibited promisi...
Localizing individuals in crowds is more in accordance with the practica...
Recently, the problem of inaccurate learning targets in crowd counting d...
Face anti-spoofing approaches based on domain generalization (DG) have d...
In this work, we propose a high fidelity face swapping method, called
Hi...
Non-parametric face modeling aims to reconstruct 3D face only from image...
Recent advances in image inpainting have shown impressive results for
ge...
Inspired by biological evolution, we explain the rationality of Vision
T...
Recently, most siamese network based trackers locate targets via object
...
Face anti-spoofing approach based on domain generalization(DG) has drawn...
Video-based person re-identification (re-ID) is an important research to...
Temporal action localization is an important yet challenging task in vid...
For action recognition learning, 2D CNN-based methods are efficient but ...
Face authentication on mobile end has been widely applied in various
sce...
Recent deep-learning based Super-Resolution (SR) methods have achieved
r...
Face anti-spoofing is crucial to security of face recognition systems.
P...
Human pose estimation is the task of localizing body keypoints from stil...
Existing Multiple-Object Tracking (MOT) methods either follow the
tracki...
Motivated by the previous success of Two-Dimensional Convolutional Neura...
The latent code of the recent popular model StyleGAN has learned disenta...
As an emerging topic in face recognition, designing margin-based loss
fu...
Unsupervised learning of optical flow, which leverages the supervision f...
In this paper, we propose a novel Automatic and Scalable Face Detector
(...
Large facial variations are the main challenge in face recognition. To t...
This paper studies face recognition (FR) and normalization in surveillan...
Efficiency is an important issue in designing video architectures for ac...
Generating temporal action proposals remains a very challenging problem,...
In this work, we propose a novel framework named Region-Aware Network (R...
In this paper, we propose a light reflection based face anti-spoofing me...
In recent years, heatmap regression based models have shown their
effect...
Recently, Convolutional Neural Network (CNN) has achieved great success ...
In this work, we tackle the problem of person search, which is a challen...
Single image super resolution is a very important computer vision task, ...
Face Super-Resolution (SR) is a domain-specific super-resolution problem...
Recently, very deep convolutional neural networks (CNNs) have been attra...