Deep learning for image colorization: Current and future prospects

S Huang, X **, Q Jiang, L Liu - Engineering Applications of Artificial …, 2022 - Elsevier
Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …

Deep learning for studying drawing behavior: A review

B Beltzung, M Pelé, JP Renoult, C Sueur - Frontiers in psychology, 2023 - frontiersin.org
In recent years, computer science has made major advances in understanding drawing
behavior. Artificial intelligence, and more precisely deep learning, has displayed …

What a mess: Multi-domain evaluation of zero-shot semantic segmentation

B Blumenstiel, J Jakubik, H Kühne… - Advances in Neural …, 2024 - proceedings.neurips.cc
While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …

Sketch2Saliency: learning to detect salient objects from human drawings

AK Bhunia, S Koley, A Kumar, A Sain… - Proceedings of the …, 2023 - openaccess.thecvf.com
Human sketch has already proved its worth in various visual understanding tasks (eg,
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …

Fs-coco: Towards understanding of freehand sketches of common objects in context

PN Chowdhury, A Sain, AK Bhunia, T **ang… - European conference on …, 2022 - Springer
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-
COCO. With practical applications in mind, we collect sketches that convey scene content …

Deep learning for free-hand sketch: A survey

P Xu, TM Hospedales, Q Yin, YZ Song… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …

SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction

K Mukherjee, H Huey, X Lu, Y Vinker… - Advances in …, 2023 - proceedings.neurips.cc
Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …

What Sketch Explainability Really Means for Downstream Tasks?

H Bandyopadhyay, PN Chowdhury… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …

[PDF][PDF] OpenSketch: a richly-annotated dataset of product design sketches.

Y Gryaditskaya, M Sypesteyn, JW Hoftijzer… - ACM Trans …, 2019 - academia.edu
Product designers extensively use sketching to reason and communicate about 3D shapes,
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …

Partially does it: Towards scene-level fg-sbir with partial input

PN Chowdhury, AK Bhunia… - Proceedings of the …, 2022 - openaccess.thecvf.com
We scrutinise an important observation plaguing scene-level sketch research--that a
significant portion of scene sketches are" partial". A quick pilot study reveals:(i) a scene …