Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …

This paper, for the first time, explores text-to-image diffusion models for Zero-Shot Sketch-
based Image Retrieval (ZS-SBIR). We highlight a pivotal discovery: the capacity of text-to …

In this paper, we propose a novel abstraction-aware sketch-based image retrieval
framework capable of handling sketch abstraction at varied levels. Prior works had mainly …

Retrieving natural images with the query sketches under the zero-shot scenario is known as
zero-shot sketch-based image retrieval (ZS-SBIR). Most of the best-performing methods …

In the real world, how to effectively learn consistent similarity measurement across different
modalities is essential. Most of the existing similarity learning methods cannot deal well with …

Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …

Image retrieval, ie, finding desired images given a reference image, inherently
encompasses rich, multi-faceted search intents that are difficult to capture solely using …

Videos are prominent learning materials to prepare surgical trainees before they enter the
operating room (OR). In this work, we explore techniques to enrich the video-based surgery …

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 …

Sketch-based image retrieval (SBIR) refers to a sub-class of content-based image retrieval
problems where the input queries are ambiguous sketches and the retrieval repository is a …