All Outputs (21)

Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation (2024)
Presentation / Conference Contribution
Li, Y., Ren, H., Deng, J., Ma, X., & Xie, X. (2024, May). Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. Presented at 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece

Nucleus segmentation is a vitally important task in biomedical image analysis which leads to multiple applications such as cellular behavior study, tumor detection and cancer diagnosis. However, challenges, such as ambiguous boundary for touching or... Read More about Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation.

An Element-Wise Weights Aggregation Method for Federated Learning (2023)
Presentation / Conference Contribution
Hu, Y., Ren, H., Hu, C., Deng, J., & Xie, X. (2023, December). An Element-Wise Weights Aggregation Method for Federated Learning. Presented at 2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China

Federated learning (FL) is a powerful Machine Learning (ML) paradigm that enables distributed clients to collaboratively learn a shared global model while keeping the data on the original device, thereby preserving privacy. A central challenge in FL... Read More about An Element-Wise Weights Aggregation Method for Federated Learning.

Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. (2021)
Presentation / Conference Contribution
Kenning, M. P., Deng, J., Edwards, M., & Xie, X. (2021, December). Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. Presented at ICPRAM

MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM) (2021)
Presentation / Conference Contribution
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2021, December). MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM). Presented at 2020 25th International Conference on Pattern Recognition (ICPR) IEEE

Lossless compression for volumetric medical images using deep neural network with local sampling (2020)
Presentation / Conference Contribution
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2020, December). Lossless compression for volumetric medical images using deep neural network with local sampling. Presented at 2020 IEEE International Conference on Image Processing (ICIP) IEEE

Learning discriminatory deep clustering models (2019)
Presentation / Conference Contribution
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2019, December). Learning discriminatory deep clustering models. Presented at International Conference on Computer Analysis of Images and Patterns Springer

Local representation learning with a convolutional autoencoder (2018)
Presentation / Conference Contribution
Kenning, M. P., Xie, X., Edwards, M., & Deng, J. (2018, December). Local representation learning with a convolutional autoencoder. Presented at 2018 25th IEEE International Conference on Image Processing (ICIP) IEEE

A deep convolutional auto-encoder with embedded clustering (2018)
Presentation / Conference Contribution
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2018, December). A deep convolutional auto-encoder with embedded clustering. Presented at 2018 25th IEEE international conference on image processing (ICIP) IEEE

Recurrent neural networks for financial time-series modelling (2018)
Presentation / Conference Contribution
Tsang, G., Deng, J., & Xie, X. (2018, December). Recurrent neural networks for financial time-series modelling. Presented at 2018 24th International Conference on Pattern Recognition (ICPR) IEEE

Labeling subtle conversational interactions within the CONVERSE dataset (2017)
Presentation / Conference Contribution
Edwards, M., Deng, J., & Xie, X. (2017, December). Labeling subtle conversational interactions within the CONVERSE dataset. Presented at 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) IEEE

Amd classification in choroidal oct using hierarchical texton mining (2017)
Presentation / Conference Contribution
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017, December). Amd classification in choroidal oct using hierarchical texton mining. Presented at International Conference on Advanced Concepts for Intelligent Vision Systems Springer

Nested shallow cnn-cascade for face detection in the wild (2017)
Presentation / Conference Contribution
Deng, J., & Xie, X. (2017, December). Nested shallow cnn-cascade for face detection in the wild. Presented at 2017 12th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2017) IEEE

Learning feature extractors for AMD classification in OCT using convolutional neural networks (2017)
Presentation / Conference Contribution
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017, December). Learning feature extractors for AMD classification in OCT using convolutional neural networks. Presented at 2017 25th European Signal Processing Conference (EUSIPCO) IEEE

Detect face in the wild using CNN cascade with feature aggregation at multi-resolution (2017)
Presentation / Conference Contribution
Deng, J., & Xie, X. (2017, December). Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. Presented at 2017 IEEE International Conference on Image Processing (ICIP) IEEE

Combining stacked denoising autoencoders and random forests for face detection (2016)
Presentation / Conference Contribution
Deng, J., Xie, X., & Edwards, M. (2016, December). Combining stacked denoising autoencoders and random forests for face detection. Presented at International Conference on Advanced Concepts for Intelligent Vision Systems Springer

Age-related macular degeneration detection and stage classification using choroidal oct images (2016)
Presentation / Conference Contribution
Deng, J., Xie, X., Terry, L., Wood, A., White, N., Margrain, T. H., & North, R. V. (2016, December). Age-related macular degeneration detection and stage classification using choroidal oct images. Presented at International Conference on Image Analysis and Recognition Springer

3D interactive coronary artery segmentation using random forests and Markov random field optimization (2014)
Presentation / Conference Contribution
Deng, J., Xie, X., Alcock, R., & Roobottom, C. (2014, December). 3D interactive coronary artery segmentation using random forests and Markov random field optimization. Presented at 2014 IEEE International Conference on Image Processing (ICIP) IEEE

Protein classification using Hidden Markov models and randomised decision trees (2014)
Presentation / Conference Contribution
Lacey, A., Deng, J., & Xie, X. (2014, December). Protein classification using Hidden Markov models and randomised decision trees. Presented at 2014 7th International Conference on Biomedical Engineering and Informatics IEEE

Conversational interaction recognition based on bodily and facial movement (2014)
Presentation / Conference Contribution
Deng, J., Xie, X., & Zhou, S. (2014, December). Conversational interaction recognition based on bodily and facial movement. Presented at International Conference Image Analysis and Recognition Springer

Recognizing conversational interaction based on 3D human pose (2013)
Presentation / Conference Contribution
Deng, J., Xie, X., Daubney, B., Fang, H., & Grant, P. W. (2013, December). Recognizing conversational interaction based on 3D human pose. Presented at International Conference on Advanced Concepts for Intelligent Vision Systems Springer