Sign languages (SL) are the first language for most deaf people. Consequently, bidirectional
communication among deaf and non-deaf people has always been a challenging issue …

Featured Application The present study is among the first research efforts to generate
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …

Gesture recognition is a human–computer interaction method, which is widely used for
educational, medical, and entertainment purposes. Humans also use gestures to …

We present a generative model for stroke-based drawing tasks which is able to model
complex free-form structures. While previous approaches rely on sequence-based models …

Visual languages make use of spatial arrangements of graphical and textual elements to
represent information. Domain specific diagrams, including flow charts and music sheets …

Visual languages have long been a pursuit of effective communication between human and
machine. With rapid advances of the Internet and Web technology, human-human …

Recognizing hand-sketched symbols is a definitely complex problem. The input drawings
are often intrinsically ambiguous, and require context to be interpreted in a correct way …

Considering that use case specification often plays the most important role in requirements
engineering, transitioning from a design on paper to an editable, standard-compliant model …

Many of today's recognition approaches for hand-drawn sketches are feature-based, which
is conceptually similar to the recognition of hand-written text. While very suitable for the latter …

This paper presents an approach for the recognition of multi-domain hand-drawn diagrams,
which exploits Sketch Grammars (SkGs) to model the symbols' shape and the abstract …