Animal visual perception is an important technique for automatically
mon...
Recently, integrating video foundation models and large language models ...
Learning-based methods have dominated the 3D human pose estimation (HPE)...
Deep learning has the potential to revolutionize sports performance, wit...
Estimating 3D human poses only from a 2D human pose sequence is thorough...
Multi-object tracking algorithms have made significant advancements due ...
3D dynamic point cloud (DPC) compression relies on mining its temporal
c...
Multi-camera multiple people tracking has become an increasingly importa...
The aim of in-trawl catch monitoring for use in fishing operations is to...
When applying a pre-trained 2D-to-3D human pose lifting model to a targe...
Cross-view multi-object tracking aims to link objects between frames and...
Multi-target multi-camera tracking (MTMCT) of vehicles, i.e. tracking
ve...
To improve the generalization of 3D human pose estimators, many existing...
This paper introduces a novel human pose estimation benchmark, Human Pos...
Most image-text retrieval work adopts binary labels indicating whether a...
There are two popular loss functions used for vision-language retrieval,...
Multi-Object Tracking over humans has improved rapidly with the developm...
Gait recognition, which refers to the recognition or identification of a...
We present GLIPv2, a grounded VL understanding model, that serves both
l...
Multi-object tracking (MOT) aims to associate target objects across vide...
The Alberta Infant Motor Scale (AIMS) is a well-known assessment scheme ...
Multi-object Tracking (MOT) generally can be split into two sub-tasks, i...
Human-Object Interaction (HOI) recognition is challenging due to two fac...
The goal of electronic monitoring of longline fishing is to visually mon...
Much progress has been made in the supervised learning of 3D reconstruct...
We propose DEFR, a DEtection-FRee method to recognize Human-Object
Inter...
This paper presents a grounded language-image pre-training (GLIP) model ...
Vehicle tracking is an essential task in the multi-object tracking (MOT)...
One-stage long-tailed recognition methods improve the overall performanc...
This paper revisits human-object interaction (HOI) recognition at image ...
Vessel tracing by modeling vascular structures in 3D medical images with...
In this paper, we introduce the first Challenge on Multi-modal Aerial Vi...
Radar has long been a common sensor on autonomous vehicles for obstacle
...
Multi-object tracking (MOT) is an essential task in the computer vision
...
In this paper, we propose a novel framework for multi-target multi-camer...
Various autonomous or assisted driving strategies have been facilitated
...
Monocular absolute 3D fish pose estimation allows for efficient fish len...
The goal of electronic monitoring (EM) of longline fishing is to monitor...
3D human pose estimation (HPE) is crucial in many fields, such as human
...
Multi-target multi-camera tracking (MTMCT), i.e., tracking multiple targ...
Multiple object tracking (MOT) is a crucial task in computer vision soci...
Radar is usually more robust than the camera in severe autonomous drivin...
Drones, or general UAVs, equipped with a single camera have been widely
...
Camera calibration is a crucial prerequisite in many applications of com...
Urban traffic optimization using traffic cameras as sensors is driving t...
Multiple object tracking has been a challenging field, mainly due to noi...
Multi-object tracking (MOT) is an important and practical task related t...
Volumetric media, popularly known as holograms, need to be delivered to ...
Immersive media streaming, especially virtual reality (VR)/360-degree vi...
Automated segmentation of intracranial arteries on magnetic resonance
an...