Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples


Oct 10, 2022
Nicolas B├Ąhler, Majed El Helou, ├ëtienne Objois, Kaan Okumu┼č, Sabine S├╝sstrunk

* 5 pages, 4 figures, and 3 tables. Code is available at https://github.com/IVRL/PoGaIN 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

DSR: Towards Drone Image Super-Resolution


Aug 25, 2022
Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine S├╝sstrunk

* Accepted at ECCVW 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Image Denoising with Control over Deep Network Hallucination


Jan 02, 2022
Qiyuan Liang, Florian Cassayre, Haley Owsianko, Majed El Helou, Sabine S├╝sstrunk

* Published in Electronic Imaging 2022, code available at https://github.com/IVRL/CCID 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks


Jun 01, 2021
Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine S├╝sstrunk

* Submitted to IEEE SPL for review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

NTIRE 2021 Depth Guided Image Relighting Challenge


Apr 27, 2021
Majed El Helou, Ruofan Zhou, Sabine Susstrunk, Radu Timofte

* IEEE Conference on Computer Vision and Pattern Recognition Workshops 2021 
* Code and data available on https://github.com/majedelhelou/VIDIT 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion


Jan 22, 2021
Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine S├╝sstrunk

* Code and models are publicly available on https://github.com/IVRL/DEU 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration


Nov 03, 2020
Majed El Helou, Sabine S├╝sstrunk

* Under submission. Code available on https://github.com/majedelhelou/BIGPrior 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

AIM 2020: Scene Relighting and Illumination Estimation Challenge


Sep 27, 2020
Majed El Helou, Ruofan Zhou, Sabine S├╝sstrunk, 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, Jiji C V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

* ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

VIDIT: Virtual Image Dataset for Illumination Transfer


May 13, 2020
Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine S├╝sstrunk

* For further information and data, see https://github.com/majedelhelou/VIDIT 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>