CFP PAMI issue on Inpainting and Denoising
Causality Workbench
Call for papers IEEE Transactions on Pattern Analysis and Machine Intelligence
special issue on Image and Video Inpainting and Denoising in Deep Learning Age
Image and video Inpainting and Denoising is a hot and challenging research topic that has received much attention from the computer vision and pattern recognition communities in the past. The inpainting problem of dealing with missing data or incomplete data in machine learning and computer vision arises in many applications. Owing to the development of deep learning and big data, recent advances have gained. However, it is still challenging to aim at fast, accurate, and robust removal of occlusions (text, objects or stain) in images and video sequences. This special issue focuses on image and video inpainting and denoising tasks, that might benefit from novel methods such as Generative Adversarial Networks (GANs) or Residual connections.
We invite paper submissions for the special issue on Image and Video Inpainting and Denoising in Deep Learning Age to be published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). We welcome original research papers making theoretical and practical substantial contributions on inpainting and denoising in connection to other computer vision topics, including, but not limited to:
● Generative Adversarial Networks for image/video inpainting
● Pose estimation recovery
● Video de-captioning
● Inpainting/denoising for latent fingerprint recognition
● Unsupervised learning in image/video inpainting
● Future frame video prediction
● Structural image/video inpainting
● Textural image/video inpainting
● Combined structural and textural inpainting
● Multimodal image/video inpaint (i.e., RGB-D)
Paper submission and review:
Authors are required to submit contributions online through the TPAMI site at,
https://mc.manuscriptcentral.com/tpami-cs
selecting the choice that indicates this special issue. Peer reviewing will follow the standard rigorous TPAMI review process. Full length manuscripts are expected to follow the TPAMI guidelines in
http://www.computer.org/portal/web/peerreviewjournals/author
Important Dates:
Paper submission deadline: January 15th, 2018
First review decision: March, 15th, 2019
Revision deadline: May, 15th, 2019
Final manuscript submission: July, 1st, 2019
Guest editors:
Sergio Escalera (Primary contact), UAB and University of Barcelona
Hugo Jair Escalante, INAOE, Mexico and ChaLearn, Berkeley, California
Isabelle Guyon, ChaLearn, Berkeley, California
Jun Wan, NLPR, Institute of Automation, Chinese Academy of Science, China
Stephane Ayache, Aix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France
Umut Güçlü, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
Yağmur Güçlütürk, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
Meysam Madadi, Computer Vision Center and Universitat Autonoma de Barcelona
Xavier Baró, Universitat Oberta de Catalunya & Computer Vision Center