Event camera-based pattern recognition is a newly arising research topic...
Sampled point and voxel methods are usually employed to downsample the d...
Learning based feature matching methods have been commonly studied in re...
Existing vehicle re-identification methods mainly rely on the single que...
Many existing multi-modality studies are based on the assumption of moda...
To alleviate the local receptive issue of GCN, Transformers have been
ex...
Existing Transformer-based RGBT tracking methods either use cross-attent...
In this paper, we develop an efficient multi-scale network to predict ac...
In this paper, we tackle the problem of domain shift. Most existing meth...
Hand hygiene is a standard six-step hand-washing action proposed by the ...
Existing detection methods commonly use a parameterized bounding box (BB...
To tackle the challenge of vehicle re-identification (Re-ID) in complex
...
Video frame interpolation (VFI) algorithms have improved considerably in...
License plate recognition plays a critical role in many practical
applic...
Existing trackers usually select a location or proposal with the maximum...
In recent years, audio-visual event localization has attracted much
atte...
Recently, with the application of deep learning in the remote sensing im...
Tiny objects, frequently appearing in practical applications, have weak
...
In the paper "Robust reversible data hiding scheme based on two-layer
em...
RGBT tracking receives a surge of interest in the computer vision commun...
Fusion is critical for a two-stream network. In this paper, we propose a...
The studies on black-box adversarial attacks have become increasingly
pr...
Image enhancement aims at processing an input image so that the visual
c...
Vehicle re-identification (Re-ID) is an active task due to its importanc...
RGBT tracking has attracted increasing attention since RGB and thermal
i...
Low-quality modalities contain not only a lot of noisy information but a...
RGB and thermal source data suffer from both shared and specific challen...
Recent advances in high refresh rate displays as well as the increased
i...
Great concern has arisen in the field of reversible data hiding in encry...
RGBT salient object detection (SOD) aims to segment the common prominent...
Small and cluttered objects are common in real-world which are challengi...
Classifying the confusing samples in the course of RGBT tracking is a qu...
Person search is to detect all persons and identify the query persons fr...
Image salient object detection (SOD) is an active research topic in comp...
Discriminative feature representation of person image is important for p...
Recently, graph convolutional networks (GCNs) have shown great potential...
Pose prediction is an increasingly interesting topic in computer vision ...
Graph Convolutional Networks (GCNs) have been widely studied for compact...
RGB-Thermal object tracking attempt to locate target object using
comple...
Fully Convolutional Neural Network (FCN) has been widely applied to sali...
Many state-of-the-art trackers usually resort to the pretrained convolut...
How to perform effective information fusion of different modalities is a...
Despite much research progress in image semantic segmentation, it remain...
The task of RGBT tracking aims to take the complementary advantages from...
This work proposes an improved reversible data hiding scheme in encrypte...
Vehicle Re-ID has recently attracted enthusiastic attention due to its
p...
Image saliency detection is an active research topic in the community of...
In this paper, we propose Hard Person Identity Mining (HPIM) that attemp...
Graph Convolutional Networks (GCNs) have been widely studied for graph d...
Recognizing pedestrian attributes is an important task in computer visio...