Managing novelty in perception-based human activity recognition (HAR) is...
Most action recognition datasets and algorithms assume a closed world, w...
In this paper, we present the Multi-view Extended Videos with Identities...
Image inpainting is an ill-posed problem to recover missing or damaged i...
Domain adaptive object detection is challenging due to distinctive data
...
The goal of person search is to localize a target person from a gallery ...
Crowd counting on the drone platform is an interesting topic in computer...
To promote the developments of object detection, tracking and counting
a...
Unsupervised domain adaptation is critical in various computer vision ta...
The convention standard for object detection uses a bounding box to repr...
Drone equipped with cameras can dynamically track the target in the air ...
Drones, or general UAVs, equipped with cameras have been fast deployed w...
The majority of existing human parsing methods formulate the task as sem...
In this paper, we present a novel siamese motion-aware network (SiamMan)...
This paper proposes a space-time multi-scale attention network (STANet) ...
Fine-grained visual categorization (FGVC) is an important but challengin...
Object detection and counting are related but challenging problems,
espe...
Multi-view subspace clustering aims to discover the inherent structure b...
Existing hand detection methods usually follow the pipeline of multiple
...
Automatic Check-Out (ACO) receives increased interests in recent years. ...
The majority of Multi-Object Tracking (MOT) algorithms based on the
trac...
With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are...
Graph based representation is widely used in visual tracking field by fi...
In recent years, numerous effective multi-object tracking (MOT) methods ...