[visionlist] CfP: IEEE T-CSVT SI on "Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection"

[Dingwen Zhang]

One-month deadline for the upcoming special issue on IEEE T-CSVT.
More detailed dates and scope of the special issue are listed below.
Looking forward to your contribution!

*IMPORTANT DATES: *

Manuscript submission:           1st November 2020

Preliminary results:                  1st February 2021

Revisions due:                         15th March 2021

Notification:                             1st May 2021

Final manuscripts due:             1st June 2021

Anticipated publication:          November 2021


*SCOPE:*

This special issue aims at promoting cutting-edge research for establishing
video object segmentation and detection frameworks based on the advanced
machine learning technologies and offers a timely collection of works to
benefit researchers and practitioners. We welcome high-quality original
submissions addressing both novel theoretical and practical aspects related
to this topic.


Topics of interests include, but are not limited to:

-       Video object segmentation/detection based on graph convolutional
networks

-       Video object segmentation/detection based on capsule networks

-       Video object segmentation/detection based on deep reinforcement
learning

-       Video object segmentation/detection based on generative adversarial
learning

-       Weakly supervised video object segmentation/detection

-       Semi-supervised video object segmentation/detection

-       Zero/few-shot video object segmentation/detection

-       Unsupervised video object segmentation/detection

-       Active learning and cross-domain learning frameworks for video
object segmentation/detection

-       Self-taught learning-based frameworks for video object
segmentation/detection

-       Saliency detection and its applications in video object
segmentation/detection

-       Representation learning for video object segmentation/detection

-       Tracking and other video understanding systems based on video
object segmentation/detection

*GUEST EDITORS:*

Dingwen Zhang, Xidian University

Hamid Rezatofighi, Monash University

Junwei Han, Northwestern Polytechnical University

Nicu Sebe, University of Trento

-- 
Dingwen Zhang
https://zdw-nwpu.github.io/dingwenz.github.com/
Xidian University
Carnegie Mellon University
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