Most existing 3D object recognition algorithms focus on leveraging the strong discriminative
power of deep learning models with softmax loss for the classification of 3D data, while …

Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Empirically validating new 3D-printing related algorithms and implementations requires
testing data representative of inputs encountered\emph {in the wild}. An ideal benchmarking …

Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …

Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …

Large scale sketch-based 3D shape retrieval has received more and more attentions in the
community of contentbased 3D object retrieval. The objective of this track is to evaluate the …

Sketch-based 3D shape retrieval has become an important research topic in content-based
3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) …

3D object recognition is one of the most important tasks in 3D data processing, and has
been extensively studied recently. Researchers have proposed various 3D recognition …

Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since
human visual perceptions of 3D shapes rely on various 2D observations from different …

Retrieving 3D shapes with sketches is a challenging problem since 2D sketches and 3D
shapes are from two heterogeneous domains, which results in large discrepancy between …