Search Results for author: Yujiang Wang

Found 48 papers, 14 papers with code

Multivariate brain-cognition associations in euthymic bipolar disorder

no code implementations2 Nov 2023 Bethany Little, Carly Flowers, Andrew Blamire, Peter Thelwall, John-Paul Taylor, Peter Gallagher, David Andrew Cousins, Yujiang Wang

Results: BD showed impairments on tests of PS, attention, and EF, and abnormal cortical thickness in several brain regions compared to healthy controls.

Aperiodic MEG abnormality in patients with focal to bilateral tonic-clonic seizures

no code implementations18 Oct 2023 Kirandeep Kaur, Jonathan J Horsley, Csaba Kozma, Gerard R Hall, Thomas W Owen, Yujiang Wang, Guarav Singh, Sarat P Chandra, Manjari Tripathi, Peter N Taylor

Here, we hypothesised greater aperiodic abnormality in the epileptogenic zone, in patients with focal to bilateral tonic clonic (FBTC) seizures, and earlier age of seizure onset.

Diminished circadian and ultradian rhythms in pathological brain tissue in human in vivo

no code implementations13 Sep 2023 Mariella Panagiotopoulou, Christopher Thornton, Fahmida A Chowdhury, Beate Diehl, John S Duncan, Sarah J Gascoigne, Andrew W McEvoy, Anna Miserocchi, Billy C Smith, Jane de Tisi, Peter N Taylor, Yujiang Wang

Chronobiological rhythms, such as the circadian rhythm, have long been linked to neurological disorders, but it is currently unknown how pathological processes affect the expression of biological rhythms in the brain.


Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

1 code implementation5 May 2023 Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton

Experimental evaluation highlights that models trained on encoded time-series data effectively uphold the information bottleneck principle and hence, exhibit lesser information leakage from trained models.

Time Series

Medical records condensation: a roadmap towards healthcare data democratisation

no code implementations5 May 2023 Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton

The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life.

Clinical Knowledge Dataset Condensation +2

Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome

no code implementations11 Apr 2023 Thomas W. Owen, Vytene Janiukstyte, Gerard R. Hall, Fahmida A. Chowdhury, Beate Diehl, Andrew McEvoy, Anna Miserocchi, Jane de Tisi, John S. Duncan, Fergus Rugg-Gunn, Yujiang Wang, Peter N. Taylor

Finally, we assessed if the implantation of electrodes in abnormal tissue, and resection of the strongest abnormalities determined by MEG and iEEG explained surgical outcome.


Normative brain mapping using scalp EEG and potential clinical application

no code implementations6 Apr 2023 Vytene Janiukstyte, Thomas W Owen, Umair J Chaudhary, Beate Diehl, Louis Lemieux, John S Duncan, Jane de Tisi, Yujiang Wang, Peter N Taylor

Scalp EEG relative band power normative maps are spatially stable across time, in keeping with MEG and intracranial EEG results.


Complementary structural and functional abnormalities to localise epileptogenic tissue

no code implementations6 Apr 2023 Jonathan J Horsley, Rhys H Thomas, Fahmida A Chowdhury, Beate Diehl, Andrew W McEvoy, Anna Miserocchi, Jane de Tisi, Sjoerd B Vos, Matthew C Walker, Gavin P Winston, John S Duncan, Yujiang Wang, Peter N Taylor

Here, we investigate whether structural connectivity abnormalities, inferred from dMRI, may be used in conjunction with functional iEEG abnormalities to aid localisation and resection of the epileptogenic zone (EZ), and improve surgical outcomes in epilepsy.


Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue

no code implementations11 Feb 2023 Yujiang Wang, Gabrielle M Schroeder, Jonathan J Horsley, Mariella Panagiotopoulou, Fahmida A Chowdhury, Beate Diehl, John S Duncan, Andrew W McEvoy, Anna Miserocchi, Jane de Tisi, Peter N Taylor

To assess the localising value of band power abnormality, we computed DRS - a measure of how different the surgically resected and spared tissue were in terms of band power abnormalities - over time.


Effects of anterior temporal lobe resection on cortical morphology

1 code implementation13 Dec 2022 Karoline Leiberg, Jane de Tisi, John S Duncan, Bethany Little, Peter N Taylor, Sjoerd B Vos, Gavin P Winston, Bruno Mota, Yujiang Wang

Here, we examine the effects of this surgery on cortical morphology measured in independent variables both near the resection and remotely.

Training Strategies for Improved Lip-reading

1 code implementation3 Sep 2022 Pingchuan Ma, Yujiang Wang, Stavros Petridis, Jie Shen, Maja Pantic

In this paper, we systematically investigate the performance of state-of-the-art data augmentation approaches, temporal models and other training strategies, like self-distillation and using word boundary indicators.

 Ranked #1 on Lipreading on Lip Reading in the Wild (using extra training data)

Data Augmentation Lipreading +1

Intracranial EEG structure-function coupling predicts surgical outcomes in focal epilepsy

no code implementations17 Apr 2022 Nishant Sinha, John S. Duncan, Beate Diehl, Fahmida A. Chowdhury, Jane de Tisi, Anna Miserocchi, Andrew W. McEvoy, Kathryn A. Davis, Sjoerd B. Vos, Gavin P. Winston, Yujiang Wang, Peter N. Taylor

We investigated pre-operative structure-function coupling at two spatial scales a) at the global iEEG network level and b) at the resolution of individual iEEG electrode contacts using virtual surgeries.


Self-supervised Video-centralised Transformer for Video Face Clustering

no code implementations24 Mar 2022 Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Luo, Yiming Lin, Pingchuan Ma, Stavros Petridis, Maja Pantic

We also investigate face clustering in egocentric videos, a fast-emerging field that has not been studied yet in works related to face clustering.

Clustering Contrastive Learning +1

Volumetric and structural connectivity abnormalities co-localise in TLE

no code implementations5 Feb 2022 Jonathan J. Horsley, Gabrielle M. Schroeder, Rhys H. Thomas, Jane de Tisi, Sjoerd B. Vos, Gavin P. Winston, John S. Duncan, Yujiang Wang, Peter N. Taylor

We computed grey matter volumetric changes and white matter structural connectivity abnormalities in 144 patients with unilateral TLE and 96 healthy controls.

Chronic iEEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states

no code implementations27 Jan 2022 Gabrielle M. Schroeder, Philippa J. Karoly, Matias Maturana, Mariella Panagiotopoulou, Peter N. Taylor, Mark J. Cook, Yujiang Wang

We then compared SNS occurrence and duration to (1) time since implantation and (2) patient-specific circadian and multidien cycles in interictal spike rate.


Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

1 code implementation24 Jan 2022 Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang

Experimental studies with 20 participants demonstrate that, thanks to the emotionship awareness, EMOShip not only achieves superior emotion recognition accuracy over existing methods (80. 2% vs. 69. 4%), but also provides a valuable understanding of the cause of emotions.

Emotion Recognition

Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups

no code implementations18 Oct 2021 Rafael Poyiadzi, Jie Shen, Stavros Petridis, Yujiang Wang, Maja Pantic

We then study the effect of variety and number of age-groups used during training on generalisation to unseen age-groups and observe that an increase in the number of training age-groups tends to increase the apparent emotional facial expression recognition performance on unseen age-groups.

Facial Expression Recognition Facial Expression Recognition (FER)

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

1 code implementation21 Jun 2021 Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic

To evaluate our method on in-the-wild data, we also introduce a new challenging large-scale benchmark called IMDB-Clean.

Age Estimation Constrained Clustering +1

Long-term changes in functional connectivity predict responses to intracranial stimulation of the human brain

no code implementations6 May 2021 Christoforos Papasavvas, Peter Neal Taylor, Yujiang Wang

Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions.


MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture

no code implementations3 May 2021 Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang

MemX captures human visual attention on the fly, analyzes the salient visual content, and records moments of personal interest in the form of compact video snippets.

A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

no code implementations9 Apr 2021 Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

By monitoring the impact of varying resolution on the quality of high-dimensional video analytics features, hence the accuracy of video analytics results, the proposed end-to-end optimization framework learns the best non-myopic policy for dynamically controlling the resolution of input video streams to globally optimize energy efficiency.

Instance Segmentation Optical Flow Estimation +4

Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

1 code implementation25 Mar 2021 Karoline Leiberg, Christoforos Papasavvas, Yujiang Wang

The universal scaling law of cortical morphology describes cortical folding as the covariance of average grey matter thickness, pial surface area, and exposed surface area.

RoI Tanh-polar Transformer Network for Face Parsing in the Wild

2 code implementations4 Feb 2021 Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic

Face parsing aims to predict pixel-wise labels for facial components of a target face in an image.

Face Parsing

Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions

no code implementations13 Dec 2020 Mariella Panagiotopoulou, Christoforos A Papasavvas, Gabrielle M Schroeder, Rhys H Thomas, Peter N Taylor, Yujiang Wang

These results suggest that subject-specific fluctuations in iEEG band power over timescales of minutes to days may serve as markers of seizure modulating processes.


Generalization Bound of Gradient Descent for Non-Convex Metric Learning

1 code implementation NeurIPS 2020 Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue

Metric learning aims to learn a distance measure that can benefit distance-based methods such as the nearest neighbour (NN) classifier.

Metric Learning

Lip-reading with Densely Connected Temporal Convolutional Networks

1 code implementation29 Sep 2020 Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic

In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN) for lip-reading of isolated words.

Lip Reading

Reliability and comparability of human brain structural covariance networks

1 code implementation28 Nov 2019 Jona Carmon, Jil Heege, Joe H Necus, Thomas W Owen, Gordon Pipa, Marcus Kaiser, Peter N Taylor, Yujiang Wang

In terms of comparability, our results show substantial differences in the structural covariance matrix between data sets of age- and sex-matched healthy human adults.

Neurons and Cognition Quantitative Methods

Shape Constrained Network for Eye Segmentation in the Wild

no code implementations11 Oct 2019 Bingnan Luo, Jie Shen, Shiyang Cheng, Yujiang Wang, Maja Pantic

Specifically, we learn the shape prior from our dataset using VAE-GAN, and leverage the pre-trained encoder and discriminator to regularise the training of SegNet.

Segmentation Semantic Segmentation

Dynamic Face Video Segmentation via Reinforcement Learning

no code implementations CVPR 2020 Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic

To the best of our knowledge, this is the first work to use reinforcement learning for online key-frame decision in dynamic video segmentation, and also the first work on its application on face videos.

reinforcement-learning Reinforcement Learning (RL) +4

End-to-End Visual Speech Recognition for Small-Scale Datasets

no code implementations2 Apr 2019 Stavros Petridis, Yujiang Wang, Pingchuan Ma, Zuwei Li, Maja Pantic

In this work, we present an end-to-end visual speech recognition system based on fully-connected layers and Long-Short Memory (LSTM) networks which is suitable for small-scale datasets.

General Classification speech-recognition +1

Face Mask Extraction in Video Sequence

no code implementations24 Jul 2018 Yujiang Wang, Bingnan Luo, Jie Shen, Maja Pantic

Inspired by the recent development of deep network-based methods in semantic image segmentation, we introduce an end-to-end trainable model for face mask extraction in video sequence.

Image Segmentation Segmentation +1

Fractal and multifractal properties of electrographic recordings of human brain activity

3 code implementations11 Jun 2018 Lucas G. S. França, José G. V. Miranda, Marco Leite, Niraj K. Sharma, Matthew C. Walker, Louis Lemieux, Yujiang Wang

Using intracranially recorded EEG and simulated data, we compared monofractal and multifractal methods with regards to their sensitivity to signal variance.

Neurons and Cognition Statistical Mechanics Information Theory Information Theory Adaptation and Self-Organizing Systems Chaotic Dynamics

A real-time and unsupervised face Re-Identification system for Human-Robot Interaction

1 code implementation10 Apr 2018 Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic

In this paper, we present an effective and unsupervised face Re-ID system which simultaneously re-identifies multiple faces for HRI.

Clustering Face Recognition +1

Learning Local Metrics and Influential Regions for Classification

no code implementations9 Feb 2018 Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue

The performance of distance-based classifiers heavily depends on the underlying distance metric, so it is valuable to learn a suitable metric from the data.

Classification General Classification +1

End-to-End Audiovisual Fusion with LSTMs

no code implementations12 Sep 2017 Stavros Petridis, Yujiang Wang, Zuwei Li, Maja Pantic

To the best of our knowledge, this is the first audiovisual fusion model which simultaneously learns to extract features directly from the pixels and spectrograms and perform classification of speech and nonlinguistic vocalisations.

Classification General Classification +2

End-to-End Multi-View Lipreading

no code implementations1 Sep 2017 Stavros Petridis, Yujiang Wang, Zuwei Li, Maja Pantic

To the best of our knowledge, this is the first model which simultaneously learns to extract features directly from the pixels and performs visual speech classification from multiple views and also achieves state-of-the-art performance.

General Classification Lipreading

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