research
∙
08/03/2023
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information
Unsupervised multiplex graph learning (UMGL) has been shown to achieve s...
share
research
∙
06/28/2023
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering
Meeting online is becoming the new normal. Creating an immersive experie...
research
∙
06/18/2023
Focusing on Relevant Responses for Multi-modal Rumor Detection
In the absence of an authoritative statement about a rumor, people may e...
research
∙
04/30/2023
Diagnostic Tests Before Modeling Longitudinal Actuarial Data
In non-life insurance, it is essential to understand the serial dynamics...
research
∙
01/11/2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Motion prediction is essential for safe and efficient autonomous driving...
research
∙
11/14/2022
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Current 3D object detection methods heavily rely on an enormous amount o...
research
∙
11/08/2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Autonomous driving confronts great challenges in complex traffic scenari...
research
∙
11/07/2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Perception algorithms in autonomous driving systems confront great chall...
research
∙
07/18/2022
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
Monocular 3D detection has drawn much attention from the community due t...
research
∙
03/18/2022
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
Current LiDAR-only 3D detection methods inevitably suffer from the spars...
research
∙
03/17/2022
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
In this work, we focus on the challenging task, neuro-disease classifica...
research
∙
03/16/2022
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Monocular 3D object detection is one of the most challenging tasks in 3D...
research
∙
12/19/2021
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Graph Convolutional Neural Networks (GCNs) are widely used for graph ana...
research
∙
04/28/2021
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG
Medical diagnostic robot systems have been paid more and more attention ...
research
∙
04/19/2021
Lidar Point Cloud Guided Monocular 3D Object Detection
Monocular 3D object detection is drawing increasing attention from the c...
research
∙
04/13/2021
OCM3D: Object-Centric Monocular 3D Object Detection
Image-only and pseudo-LiDAR representations are commonly used for monocu...
research
∙
10/21/2020