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Majed El Helou
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2020 – today
- 2024
- [c19]Laura Mascarell, Yan L'Homme, Majed El Helou:
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition. ACL (Findings) 2024: 5333-5338 - [c18]Andreas Aakerberg
, Majed El Helou, Kamal Nasrollahi, Thomas B. Moeslund
PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution. WACV 2024: 4085-4095 - [i21]Laura Mascarell, Yan L'Homme, Majed El Helou:
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition. CoRR abs/2405.14470 (2024) - [i20]Doruk Cetin, Benedikt Schesch, Petar Stamenkovic, Niko Benjamin Huber, Fabio Zünd, Majed El Helou:
Facial Image Feature Analysis and its Specialization for Fréchet Distance and Neighborhoods. CoRR abs/2406.18430 (2024) - 2023
- [c17]Majed El Helou:
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction. ICIP 2023: 236-240 - [i19]Majed El Helou:
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction. CoRR abs/2306.14891 (2023) - [i18]Majed El Helou, Doruk Cetin
VerA: Versatile Anonymization Fit for Clinical Facial Images. CoRR abs/2312.02124 (2023) - 2022
- [j4]Nicolas Bähler
PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples. IEEE Signal Process. Lett. 29: 2602-2606 (2022) - [j3]Majed El Helou
BIGPrior: Toward Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. IEEE Trans. Image Process. 31: 1628-1640 (2022) - [c16]Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine Süsstrunk:
Image Denoising with Control over Deep Network Hallucination. Computational Imaging 2022: 1-6 - [c15]Xiaoyu Lin
DSR: Towards Drone Image Super-Resolution. ECCV Workshops (2) 2022: 361-377 - [i17]Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine Süsstrunk:
Image Denoising with Control over Deep Network Hallucination. CoRR abs/2201.00429 (2022) - [i16]Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine Süsstrunk:
DSR: Towards Drone Image Super-Resolution. CoRR abs/2208.12327 (2022) - [i15]Nicolas Bähler, Majed El Helou, Étienne Objois, Kaan Okumus, Sabine Süsstrunk:
PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples. CoRR abs/2210.04866 (2022) - 2021
- [b1]Majed El Helou:
Deep Image Restoration: Between Data Fidelity and Learned Priors. EPFL, Switzerland, 2021 - [j2]Xiaoyu Lin
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks. IEEE Signal Process. Lett. 28: 1719-1723 (2021) - [c14]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte
NTIRE 2021 Depth Guided Image Relighting Challenge. CVPR Workshops 2021: 566-577 - [c13]Xiaoqi Ma, Xiaoyu Lin
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. ICIP 2021: 1629-1633 - [i14]Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk:
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. CoRR abs/2101.04631 (2021) - [i13]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. CoRR abs/2104.13365 (2021) - [i12]Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine Süsstrunk:
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks. CoRR abs/2106.00673 (2021) - 2020
- [j1]Majed El Helou
Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning. IEEE Trans. Image Process. 29: 4885-4897 (2020) - [c12]Ruofan Zhou
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping. ECCV Workshops (1) 2020: 474-491 - [c11]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - [c10]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk:
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks. ECCV (16) 2020: 749-766 - [c9]Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. ICASSP 2020: 4007-4011 - [c8]Frederike Dümbgen, Majed El Helou, Adam Scholefield:
Realizability of Planar Point Embeddings from Angle Measurements. ICASSP 2020: 5710-5714 - [c7]Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. ICASSP 2020: 9259-9263 - [d1]Ruofan Zhou, Majed El Helou
W2S: Widefield2SIM Raw Dataset. Zenodo, 2020 - [i11]Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. CoRR abs/2003.03633 (2020) - [i10]Ruofan Zhou, Majed El Helou, Daniel Sage, Thierry Laroche, Arne Seitz, Sabine Süsstrunk:
W2S: A Joint Denoising and Super-Resolution Dataset. CoRR abs/2003.05961 (2020) - [i9]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk:
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks. CoRR abs/2003.07119 (2020) - [i8]Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. CoRR abs/2004.06409 (2020) - [i7]Frederike Dümbgen, Majed El Helou, Adam Scholefield:
Realizability of Planar Point Embeddings from Angle Measurements. CoRR abs/2005.04469 (2020) - [i6]Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine Süsstrunk:
VIDIT: Virtual Image Dataset for Illumination Transfer. CoRR abs/2005.05460 (2020) - [i5]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020) - [i4]Majed El Helou, Sabine Süsstrunk:
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. CoRR abs/2011.01406 (2020)
2010 – 2019
- 2019
- [c6]Ruofan Zhou, Fayez Lahoud, Majed El Helou, Sabine Süsstrunk:
A comparative study on wavelets and residuals in deep super resolution. Computational Imaging 2019 - [c5]Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - [c4]Majed El Helou, Stephan Mandt
Mobile Robotic Painting of Texture. ICRA 2019: 640-647 - [i3]Xiaoyan Zou, Ruofan Zhou, Majed El Helou, Sabine Süsstrunk:
Drone Shadow Tracking. CoRR abs/1905.08214 (2019) - [i2]Majed El Helou, Sabine Süsstrunk:
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning. CoRR abs/1907.03029 (2019) - 2018
- [c3]Frederike Dümbgen, Majed El Helou, Natalija Gucevska, Sabine Süsstrunk:
Near-Infrared Fusion for Photorealistic Image Dehazing. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2018: 1-5 - [c2]Majed El Helou, Frederike Dümbgen, Sabine Siisstrunk:
AAM: AN Assessment Metric of Axial Chromatic Aberration. ICIP 2018: 2486-2490 - [i1]Majed El Helou, Frederike Dümbgen, Radhakrishna Achanta, Sabine Süsstrunk:
Fourier-Domain Optimization for Image Processing. CoRR abs/1809.04187 (2018) - 2017
- [c1]Majed El Helou, Zahra Sadeghipoor, Sabine Süsstrunk:
Correlation-based deblurring leveraging multispectral chromatic aberration in color and near-infrared joint acquisition. ICIP 2017: 1402-1406
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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