Domain generalization (DG) aims to learn domain-generalizable models fro...
Multi-Label Image Recognition (MLIR) is a challenging task that aims to
...
Without manually annotated identities, unsupervised multi-object tracker...
Traditional domain adaptation assumes the same vocabulary across source ...
Most visual recognition studies rely heavily on crowd-labelled data in d...
Pre-trained vision-language models (VLMs) learn to align vision and lang...
The prevailing reinforcement-learning-based traffic signal control metho...
This paper investigates the task of 2D whole-body human pose estimation,...
Human pose estimation aims to accurately estimate a wide variety of huma...
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...
Localizing keypoints of an object is a basic visual problem. However,
su...
This paper studies the task of estimating the 3D human poses of multiple...
Human pose estimation has achieved significant progress in recent years....
Human pose estimation is a fundamental yet challenging task in computer
...
Multi-person pose estimation is challenging because it localizes body
ke...
This paper investigates the task of 2D human whole-body pose estimation,...
This paper presents a deep reinforcement learning algorithm for online
a...
Minimizing the discrepancy of feature distributions between different do...
Deep hashing methods have been proved to be effective and efficient for
...
Human pose and shape are two important components of 2D human body. Howe...
We propose a unified framework for multi-person pose estimation and trac...
In recent years, hashing methods have been proved efficient for large-sc...
In recent years, deep hashing methods have been proved to be efficient s...
Social norms serve as an important mechanism to regulate the behaviors o...