Search Results for author: Congbo Ma

Found 12 papers, 1 papers with code

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality

no code implementations2 Oct 2023 Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

Then, cross-modal knowledge distillation is performed between teacher and student modalities for each task to push the model parameters to a point that is beneficial for all tasks.

Knowledge Distillation

Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling

no code implementations CVPR 2023 Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

This is achieved from a strategy that relies on auxiliary tasks based on distribution alignment and domain classification, in addition to a residual feature fusion procedure.

Classification domain classification +4

Dependency Structure for News Document Summarization

no code implementations23 Sep 2021 Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo

In this work, we develop a neural network based model which leverages dependency parsing to capture cross-positional dependencies and grammatical structures.

Dependency Parsing Document Summarization +2

Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography

no code implementations20 Jul 2021 Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue

The advancement of secure communication and identity verification fields has significantly increased through the use of deep learning techniques for data hiding.

Kernel Adversarial Learning for Real-world Image Super-resolution

no code implementations19 Apr 2021 Hu Wang, Congbo Ma, Jianpeng Zhang, Gustavo Carneiro

Current deep image super-resolution (SR) approaches attempt to restore high-resolution images from down-sampled images or by assuming degradation from simple Gaussian kernels and additive noises.

Image Super-Resolution

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

no code implementations24 Jan 2021 Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen

To address these issues, in this work we carefully design our settings and propose a new dataset including both synthetic and real traffic data in more complex scenarios.

Multi-document Summarization via Deep Learning Techniques: A Survey

no code implementations10 Nov 2020 Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng

Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents.

Document Summarization Multi-Document Summarization

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

no code implementations21 Jul 2020 Congbo Ma, Hu Wang, Steven C. H. Hoi

Automated disease classification of radiology images has been emerging as a promising technique to support clinical diagnosis and treatment planning.

Classification General Classification +2

Randomized Online CP Decomposition

no code implementations21 Jul 2020 Congbo Ma, Xiaowei Yang, Hu Wang

The experimental results on synthetic data and real-world data show the ROCP algorithm is able to cope with CP decomposition for large-scale tensors with arbitrary number of dimensions.

Unsupervised Representation Learning by Predicting Random Distances

2 code implementations22 Dec 2019 Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

To enable unsupervised learning on those domains, in this work we propose to learn features without using any labelled data by training neural networks to predict data distances in a randomly projected space.

Anomaly Detection Clustering +1

Cannot find the paper you are looking for? You can Submit a new open access paper.