3D shape modeling is labor-intensive and time-consuming and requires yea...
Sketches are highly expressive, inherently capturing subjective and
fine...
This paper advances the fine-grained sketch-based image retrieval (FG-SB...
In this paper, we leverage CLIP for zero-shot sketch based image retriev...
Human sketch has already proved its worth in various visual understandin...
Given an abstract, deformed, ordinary sketch from untrained amateurs lik...
The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) ...
We for the first time extend multi-modal scene understanding to include ...
Sketching enables many exciting applications, notably, image retrieval. ...
We scrutinise an important observation plaguing scene-level sketch resea...
Zero-shot sketch-based image retrieval typically asks for a trained mode...
We advance sketch research to scenes with the first dataset of freehand ...
The key challenge in designing a sketch representation lies with handlin...
Although text recognition has significantly evolved over the years,
stat...
Text recognition remains a fundamental and extensively researched topic ...
Visual text recognition is undoubtedly one of the most extensively resea...
Handwritten Text Recognition (HTR) remains a challenging problem to date...
A fundamental challenge faced by existing Fine-Grained Sketch-Based Imag...
Self-supervised learning has gained prominence due to its efficacy at
le...
Degraded document image binarization is one of the most challenging task...
Ground Terrain Recognition is a difficult task as the context informatio...
With the growing cosmopolitan culture of modern cities, the need of robu...