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publications

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

Published in IEEE International Conference on Multimedia and Expo (ICME), 2021

D. You, J. Xie and J. Zhang, “ISTA-NET++: Flexible Deep Unfolding Network for Compressive Sensing,” 2021 IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428249.

Paper Code

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

Published in IEEE Transactions on Image Processing, 2021

D. You, J. Zhang, J. Xie, B. Chen and S. Ma, “COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing,” in IEEE Transactions on Image Processing, vol. 30, pp. 6066-6080, 2021, doi: 10.1109/TIP.2021.3091834.

Paper Code

AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation.

Published in Medical Image Computing and Computer Assisted Intervention, 2021

D. You, F. Liu, S. Ge, et al., “AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation,” 2023 Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, doi: 10.1007/978-3-030-87199-4_7.

Paper

INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems

Published in IEEE International Workshop on Multimedia Signal Processing, 2024

D. You, A. Floros and P. L. Dragotti, “INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems,” 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Poitiers, France, 2023, pp. 1-6, doi: 10.1109/MMSP59012.2023.10337733.

Paper

INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration

Published in IEEE Journal of Selected Topics in Signal Processing, 2024

D. You and P. L. Dragotti, “INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration,” in IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2024.3454957.

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Wimans: A benchmark dataset for wifi-based multi-user activity sensing

Published in European Conference on Computer Vision, 2024

S. Huang, K. Li, D. You, et al., “Wimans: A benchmark dataset for wifi-based multi-user activity sensing,” European Conference on Computer Vision. Springer, Cham, 2024: 72-91.

Paper

A Hallucination Metric and Correction Scheme for Diffusion-Based Image Restoration

Published in IEEE International Workshop on Machine Learning for Signal Processing, 2024

D. Siromani, D. You and P. L. Dragotti, “A Hallucination Metric and Correction Scheme for Diffusion-Based Image Restoration,” 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), London, United Kingdom, 2024, pp. 1-6, doi: 10.1109/MLSP58920.2024.10734729.

Paper

CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models

Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

J. Chen, D. You, D. Gündüz and P. L. Dragotti, “CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models,” ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 6675-6679, doi: 10.1109/ICASSP48485.2024.10448462.

Paper

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015