research
∙
07/26/2023
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
The missing modality issue is critical but non-trivial to be solved by m...
share
research
∙
09/13/2022
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization
One key challenge in multi-document summarization is to capture the rela...
research
∙
07/22/2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Multi-modal learning focuses on training models by equally combining mul...
research
∙
09/23/2021
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization
Within natural language processing tasks, linguistic knowledge can alway...
research
∙
07/20/2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography
Data hiding is the process of embedding information into a noise-toleran...
research
∙
04/19/2021
Kernel Agnostic Real-world Image Super-resolution
Recently, deep neural network models have achieved impressive results in...
research
∙
01/24/2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
The control of traffic signals is fundamental and critical to alleviate ...
research
∙
12/02/2020
The 10 Research Topics in the Internet of Things
Since the term first coined in 1999 by Kevin Ashton, the Internet of Thi...
research
∙
11/10/2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document summarization (MDS) is an effective tool for information ...
research
∙
07/21/2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
Automated disease classification of radiology images has been emerging a...
research
∙
07/21/2020
Randomized Online CP Decomposition
CANDECOMP/PARAFAC (CP) decomposition has been widely used to deal with m...
research
∙
12/22/2019