Visual chart recognition systems are gaining increasing attention due to...
A generative model for high-fidelity point clouds is of great importance...
Egocentric action recognition is gaining significant attention in the fi...
A pooling operation is essential for effective graph-level representatio...
Although remarkable advancements have been made recently in point cloud
...
Human-object interactions (HOIs) are crucial for human-centric scene
und...
Pseudo Labeling is a technique used to improve the performance of
semi-s...
With recent success of deep learning in 2D visual recognition, deep
lear...
This technical report briefly describes our JDExplore d-team's Vega v2
s...
Active learning has been proposed to reduce data annotation efforts by o...
Federated learning enables multiple decentralized clients to learn
colla...
The challenge of fine-grained visual recognition often lies in discoveri...
In recent years, deep dictionary learning (DDL)has attracted a great amo...
Point cloud semantic segmentation from projected views, such as range-vi...
Attention mechanisms have been very popular in deep neural networks, whe...
A comprehensive understanding of human-object interaction (HOI) requires...
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to
...
Point cloud segmentation is fundamental in understanding 3D environments...
Weakly-supervised semantic segmentation (WSSS) with image-level labels i...
Despite the success of deep neural networks, there are still many challe...
Generating informative scene graphs from images requires integrating and...
Scene Graph Generation (SGG) aims to build a structured representation o...
Over-smoothing is a challenging problem, which degrades the performance ...
With the recent success of deep neural networks, remarkable progress has...
A table arranging data in rows and columns is a very effective data
stru...
Reasoning the human-object interactions (HOI) is essential for deeper sc...
Human-Object Interaction (HOI) detection, inferring the relationships be...
Heatmap regression has become the mainstream methodology for deep
learni...
In recent years, deep neural networks have been very successful in the f...
Reading comprehension (RC) has been studied in a variety of datasets wit...
How to build an effective large-scale traffic state prediction system is...
Face detection is essential to facial analysis tasks such as facial
reen...