Publications

— Reference list for the special publication tags below —
     : Ideas proposed and co-supervised
     : Workshop publications
     : Technical tutorials and tools
— You can also find my articles on my Google Scholar —

• M. El Helou, D. Cetin, P. Stamenkovic, N. Huber, F. Zünd, “VerA: Versatile Anonymization Applicable to Clinical Facial Photographs,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2025.
  [Paper]

• A. Pennino, M. El Helou, D. Vera Nieto, F. Zünd, “ArtWalks via Latent Diffusion Models,” in ACM SIGGRAPH Conference on Motion, Interaction and Games, 2024.
  [Paper]

• D. Cetin, B. Schesch, P. Stamenkovic, N. Huber, F. Zünd, M. El Helou, “Facial Image Feature Analysis and its Specialization for Fréchet Distance and Neighborhoods,” arXiv preprint arXiv:2406.18430, 2024.
  [Paper]

• L. Mascarell, Y. L’Homme, M. El Helou, “Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition,” in Association of Computational Linguistics Findings (ACL), 2024.
  [Paper]

• A. Aakerberg, M. El Helou, K. Nasrollahi and T. Moeslund, “PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.
  [Paper] - [Dataset]

• M. El Helou, “Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction,” in IEEE International Conference on Image Processing (ICIP), 2023.
  [Paper] - [Code / Project Page] - [Slides]

• N. Bähler*, M. El Helou*, E. Objois, K. Okumuş and S. Süsstrunk, “PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples,” in IEEE Signal Processing Letters, 2022. (*equal contribution)
  [Paper] - [Code / Project Page] - [Supp.]

• X. Lin, B. Ozaydin, V. Vidit, M. El Helou and S. Süsstrunk, “DSR: Towards Drone Image Super-Resolution,” in European Conference on Computer Vision Workshops (ECCVW), 2022.
  [Paper] - [Code / Project Page] - [Supp.] - [Dataset]

• M. El Helou and S. Süsstrunk, “BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration,” in IEEE Transactions on Image Processing (TIP), vol. 31, pp. 1628-1640, 2022.
  [Paper] - [Code / Project Page] - [Supp.] - [Poster (at ICCP21)]

• Q. Liang, F. Cassayre, H. Owsianko, M. El Helou and S. Süsstrunk, “Image Denoising with Control over Deep Network Hallucination,” in IS&T/SPIE Electronic Imaging, 2022.
  [Paper] - [Code / Project Page] - [Slides]

• M. El Helou, R. Zhou, S. Süsstrunk, R. Timofte, et al., “NTIRE 2021: Depth-Guided Image Relighting Challenge,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021.
  [Paper] - [Code / Project Page] - [Video]

• X. Lin, D. Bhattacharjee, M. El Helou and S. Süsstrunk, “Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks,” in IEEE Signal Processing Letters, 2021.
  [Paper] - [Code / Project Page] - [Supp]

• X. Ma, X. Lin, M. El Helou and S. Süsstrunk, “Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion,” in IEEE International Conference on Image Processing (ICIP), 2021.
  [Paper] - [Code / Project Page] - [Poster] - [Supp]

• M. El Helou*, R. Zhou* and S. Süsstrunk, “Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks,” in European Conference on Computer Vision (ECCV), 2020. (*similar contribution)
  [Paper] - [Code / Project Page] - [Supp.] - [Video]

• M. El Helou and S. Süsstrunk, “Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning,” in IEEE Transactions on Image Processing (TIP), vol. 29, pp. 4885-4897, 2020.
  [Paper] - [Code / Project Page]

• M. El Helou, R. Zhou, S. Süsstrunk, R. Timofte, et al., “AIM 2020: Scene Relighting and Illumination Estimation Challenge,” in European Conference on Computer Vision Workshops (ECCVW), 2020.
  [Paper] - [Code / Project Page] - [Supp.] - [Video]

• R. Zhou*, M. El Helou*, D. Sage, T. Laroche, A. Seitz and S. Süsstrunk, “W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping,” in European Conference on Computer Vision Workshops (ECCVW), 2020. (*similar contribution)
  [Paper] - [Code / Project Page] - [Supp.] - [Video]

• M. El Helou, F. Dümbgen and S. Süsstrunk, “AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
  [Paper] - [Code / Project Page] - [Slides] - [Supp.] - [Video]

• F. Dümbgen, M. El Helou and A. Scholefield, “Realizability of Planar Point Embeddings from Angle Measurements,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
  [Paper] - [Code / Project Page] - [Slides] - [Video]

• M. El Helou, R. Zhou, F. Schmutz, F. Guibert and S. Süsstrunk, “Divergence-Based Adaptive Extreme Video Completion,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
  [Paper] - [Code by email] - [Slides] - [Dataset] - [Video]

• M. El Helou, S. Mandt, A. Krause and P. Beardsley, “Mobile Robotic Painting of Texture,” in IEEE International Conference on Robotics and Automation (ICRA), 2019.
  [Paper] - [Code owned by Disney Research] - [Poster] - [Quadrotor video]

• M. El Helou, M. Shahpaski and S. Süsstrunk, “Solving the Depth Ambiguity in Single-Perspective Images,” in Imaging Systems, Image Processing, and Displays (OSA Continuum), Vol. 2, No. 10, 2019.
  [Paper] - [Code / Project Page]

• R. Zhou, F. Lahoud, M. El Helou and S. Süsstrunk, “A Comparative Study on Wavelets and Residuals in Deep Super Resolution,” in IS&T/SPIE Electronic Imaging, 2019.
  [Paper] - [Code / Project Page]

• M. El Helou, M. Shahpaski and S. Süsstrunk, “Closed-Form Solution to Disambiguate Defocus Blur in Single-Perspective Images,” in Mathematics in Imaging, Imaging and Applied Optics Congress (OSA Math), 2019.
  [Paper] - [Code / Project Page] - [Slides]

• S. Gu, et al., “AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results,” in IEEE International Conference on Computer Vision Workshops (ICCVW), 2019. (co-authored as competition participant)
  [Paper]

• X. Zou, R. Zhou, M. El Helou and S. Süsstrunk, “Drone Shadow Tracking,” arXiv preprint arXiv:1905.08214, 2019.
  [Paper] - [Code / Project Page]

• M. El Helou, F. Dümbgen and S. Süsstrunk, “AAM: an Assessment Metric of Axial Chromatic Aberration,” in IEEE International Conference on Image Processing (ICIP), 2018.
  [Paper] - [Code / Project Page] - [Poster]

• F. Dümbgen*, M. El Helou*, N. Gucevska and S. Süsstrunk, “Near-Infrared Fusion for Photorealistic Image Dehazing,” in IS&T/SPIE Electronic Imaging, 2018. (*equal contribution)
  [Paper] - [Code / Project Page]

• B. Arad, et al., “NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018. (co-authored as competition participant)
  [Paper]

• M. El Helou, F. Dümbgen, R. Achanta and S. Süsstrunk, “Fourier-Domain Optimization for Image Processing,” arXiv preprint arXiv:1809.04187, 2018.
  [Paper] - [Code / Project Page]

• M. El Helou, Z. Sadeghipoor and S. Süsstrunk, “Correlation-Based Deblurring Leveraging Multispectral Chromatic Aberration in Color and Near-Infrared Joint Acquisition,” in IEEE International Conference on Image Processing (ICIP), 2017.
  [Paper] - [Code / Project Page] - [Slides]

Bachelor Studies

• M. El Helou, R. Chanouha and H. Hajj, “Multiresolution Bagging for Ensemble Classification,” lightning talk and poster session in Workshop on Model-Based Clustering and Classification (MBC2), 2016.

• M. El Helou, A. Turkmani, R. Chanouha and S. Charbaji, “A Novel ENF Extraction Approach for Region-of-Recording Identification of Media Recordings,” in IEEE International Conference on Signal Processing (ICSP), 2016, Vol. 6. pp. 97-108.
  [Paper]

• M. El Helou, R. Chanouha and L. Debs, “Statistical Voxel-Based Morphometric Image Processing for Automated Diagnosis of Epileptic Lesions from MRI,” in 15^th FEASAC, 2016.