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 focused on …

Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlapping cameras. It has attracted increasing attention in recent years due to …

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 …

This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

In this paper we democratise caricature generation empowering individuals to effortlessly
craft personalised caricatures with just a photo and a conceptual sketch. Our objective is to …

In the real world, where information is abundant and diverse across different modalities,
understanding and utilizing various data types to improve retrieval systems is a key focus of …

Handling various objects with different colours is a significant challenge for image
colourisation techniques. Thus, for complex real-world scenes, the existing image …

Although foundational vision-language models (VLMs) have proven to be very successful for
various semantic discrimination tasks, they still struggle to perform faithfully for fine-grained …