CDSA Workshop

Cross-Domain Sketch Analysis Using Deep Learing Methods (CDSA 2018)

Workshop website:

Paper submission details:

Workshop informaion:

With the development of the touch-screen technology, sketching has become a much easier way for humans to interact with computer systems such as tablets and smart phones. Since sketch is intuitive and convenient for users, in the computer vision community it is widely used in cross-domain tasks such as sketch-based image retrieval and sketch-based 3D shape retrieval. Advances in deep learning via convolutional neural networks (CNNs) has resulted in great gains in various computer vision tasks. Due to the discriminatory nature of features of deep neural networks, researchers also employ deep learning techniques to reduce the domain discrepancy in cross-domain sketch analysis. The aim of this workshop is to gather researchers to present their work and highlight the latest developments on sketch analysis. It is expected that the community will engage in dedicated discussions on new sketch-based applications and domain adaptation with deep learning techniques.

Specific topics of interest include, but are not limited to:

  • Sketch Recognition/Classification
  • Hashing for sketch retrieval
  • Sketch representation learning
  • Cross-domain/cross-modality sketch-based retrieval, e.g., sketch-based image/3D shape/text retrieval
  • Adversarial learning for sketch representation
  • Facial sketch applications
  • Deep learning for sketch generation
  • Other sketch-related analysis
  • Other cross-domain applications

Important date:

Paper Submission date:04th July 2018

Paper Acceptance Notification:15th August 2018

Camera Ready Submission:22nd August 2018

Workshop Event:6th September 2018

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