Deep Learning Workshop

International Workshop on Deep Learning for Video and Image Analysis

in conjunction with PSIVT 2019

Sydney, Australia


Dr. Syed Afaq Shah

Murdoch University, Australia


Dr. Abdul Bais

Univesity of Regina, Canada

Dr. Fady Al-Najjar,

United Arab Emirates University, UAE

Dr Touseef Ahmed Qureshi

Cedars-Sinai Medical Center, LA, USA


There has been a surge of opportunities for the development of deep learning algorithms and platforms for advanced vision systems. This has been boosted by the availability of large amounts of visual data (i.e., big data) and high performance computing systems. These systems will reduce the expensive costs associated with elder's health and home care expenses, and enhance competitiveness in agriculture and marine economies. This workshop aims to gather high quality research papers on state-of-the-art Deep Learning techniques for Video and Image Analysis. We encourage papers on deep learning techniques with all types of contributions including theoretical, engineering and applied.

Scope and Interests (not limited to)

· Medical Image Analysis

· Generative Adversarial Networks

· Reinforcement Learning

· Image set Classification

· Person detection and identification

· Action recognition

· Gesture recognition

· Deep learning for RGB-D computer vision, e.g., data captured using Kinect scanner

· 3D face detection and recognition using deep learning

· 3D modeling and scene reconstruction

· Image segmentation

· 3D scene understanding

· 3D object detection and tracking,

· 3D object recognition and/or classification

· 3D pose estimation

· Applications of deep learning in computer vision

Important Dates:

Paper submission deadline: July 15, 2019 July 22, 2019

Notification of acceptance: September 12, 2019

Camera Ready: September 30, 2019

Conference Dates: November 18 – 22, 2019

Paper Submission Information

All submissions will be handled electronically via the workshop’s paper submission Website. Click the following link to go to the submission site: Paper submission

Papers should describe original and unpublished work about the related topics. Each paper will receive double blind reviews, moderated by the workshop chairs. Authors should take into account the following:

- All papers must be written and presented in English.

- All papers must be submitted in PDF format. The workshop paper format guidelines are the same as the Main Conference papers

- The maximum paper length is 8 pages. Note that shorter submissions are also welcome.