Abdominal organ and tumour segmentation has many important clinical
appl...
Cerebrovascular disease is one of the major diseases facing the world to...
Multi-Label Image Recognition (MLIR) is a challenging task that aims to
...
Quantitative organ assessment is an essential step in automated abdomina...
Automatic segmentation of the intracranial artery (IA) in digital subtra...
Pre-trained vision-language models (VLMs) learn to align vision and lang...
This paper investigates the task of 2D whole-body human pose estimation,...
The goal of this paper is to interactively refine the automatic segmenta...
Human pose estimation aims to accurately estimate a wide variety of huma...
Abdominal organ segmentation has many important clinical applications, s...
Estimating 3D interacting hand pose from a single RGB image is essential...
Existing works on 2D pose estimation mainly focus on a certain category,...
Vision transformers have achieved great successes in many computer visio...
The success of Transformer in computer vision has attracted increasing
a...
Localizing keypoints of an object is a basic visual problem. However,
su...
Prior plays an important role in providing the plausible constraint on h...
It is very challenging to reconstruct a high dynamic range (HDR) from a ...
This paper studies the task of estimating the 3D human poses of multiple...
Heatmap-based methods dominate in the field of human pose estimation by
...
Human pose estimation has achieved significant progress in recent years....
Human pose estimation is a fundamental yet challenging task in computer
...
Image quality assessment (IQA) models aim to establish a quantitative
re...
Recovering multi-person 3D poses with absolute scales from a single RGB ...
The diversity of video delivery pipeline poses a grand challenge to the
...
Remarkable progress has been made in 3D human pose estimation from a
mon...
Multi-person pose estimation is challenging because it localizes body
ke...
This paper investigates the task of 2D human whole-body pose estimation,...
Estimating 3D mesh of the human body from a single 2D image is an import...
New approaches to synthesize and manipulate face videos at very high qua...
Human pose and shape recovery is an important task in computer vision an...
Rate-distortion (RD) theory is at the heart of lossy data compression. H...
Rate-distortion (RD) analysis is at the heart of lossy data compression....
The fundamental conflict between the enormous space of adaptive streamin...
Human pose and shape are two important components of 2D human body. Howe...
Face performance capture and reenactment techniques use multiple cameras...
Objective assessment of image quality is fundamentally important in many...
We propose a unified framework for multi-person pose estimation and trac...
Recent studies have shown remarkable advances in 3D human pose estimatio...
Human-object interactions (HOI) recognition and pose estimation are two
...
In real-world applications, e.g. law enforcement and video retrieval, on...
In this paper, we propose a two-stage depth ranking based method (DRPose...