Deep learning-based face super-resolution: A survey
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 …
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
The elements of end-to-end deep face recognition: A survey of recent advances
Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …
vision. With the recent development of deep learning techniques and large-scale datasets …
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …
challenging topic in computer vision. To capture the subtle actions of humans for complex …
Fake it till you make it: face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using
synthetic data alone. The community has long enjoyed the benefits of synthesizing training …
synthetic data alone. The community has long enjoyed the benefits of synthesizing training …
Diffusion model as representation learner
Abstract Diffusion Probabilistic Models (DPMs) have recently demonstrated impressive
results on various generative tasks. Despite its promises, the learned representations of pre …
results on various generative tasks. Despite its promises, the learned representations of pre …
Not all tokens are equal: Human-centric visual analysis via token clustering transformer
Vision transformers have achieved great successes in many computer vision tasks. Most
methods generate vision tokens by splitting an image into a regular and fixed grid and …
methods generate vision tokens by splitting an image into a regular and fixed grid and …
Deep high-resolution representation learning for visual recognition
High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
High-resolution representations for labeling pixels and regions
High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
General facial representation learning in a visual-linguistic manner
How to learn a universal facial representation that boosts all face analysis tasks This paper
takes one step toward this goal. In this paper, we study the transfer performance of pre …
takes one step toward this goal. In this paper, we study the transfer performance of pre …
Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection
We present our on-going effort of constructing a large-scale benchmark for face forgery
detection. The first version of this benchmark, DeeperForensics-1.0, represents the largest …
detection. The first version of this benchmark, DeeperForensics-1.0, represents the largest …