Deforestation is considered one of the main environmental threats to the ecological balance
on the planet. At the same time, monitoring changes in forest cover is a major challenge …

Sketch-to-image is an important task to reduce the burden of creating a color image from
scratch. Unlike previous sketch-to-image models, where the image is synthesized in an end …

Recurrent neural networks (RNN) require large training datasets from which they learn new
class models. This limitation prohibits their use in custom gesture applications where only …

Sketching is one of the most natural ways for representing any object pictorially. It is
however, challenging to convert sketches to 3D content that is suitable for various …

Different modalities extracted from videos, such as RGB and optical flows, may provide
complementary cues for improving video action recognition. In this paper, we introduce a …

Human free-hand sketches provide the useful data for studying human perceptual grouping,
where the grouping principles such as the Gestalt laws of grouping are naturally in play …

Sketch classification models have been extensively investigated by designing a task-driven
deep neural network. Despite their successful performances, few works have attempted to …

We present a bottom-up differentiable relaxation of the process of drawing points, lines and
curves into a pixel raster. Our approach arises from the observation that rasterising a pixel in …

Sketch-based image retrieval (SBIR) is a long-standing research topic in computer vision.
Existing methods mainly focus on category-level or instance-level image retrieval. This …

We propose a model that extracts a sketch from a colorized image in such a way that the
extracted sketch has a line style similar to a given reference sketch while preserving the …