4 accepted papers
Retrosynthesis prediction aims to infer the reactant molecule based on a given product molecule, which is a fundamental task in chemical synthesis. However, existing models rely on static pattern-matching paradigm, which limits their ability to perform effective logic decision-making, leading to a b…
Unsupervised visual grounding methods alleviate the issue of expensive manual annotation of image-query pairs by generating pseudo-queries. However existing methods are prone to confusing the spatial relationships between objects and rely on designing complex prompt modules to generate query texts w…
Existing ultra image segmentation methods suffer from two major challenges, namely the scalability issue (i.e. they lack the stability and generality of standard segmentation models, as they are tailored to specific datasets), and the architectural issue (i.e. they are incompatible with real-world u…
Increased demand for minimally invasive surgery has accelerated the adoption of natural orifice transluminal endoscopic surgery. Meanwhile, the increasing complexity of endoscopic procedures has raised the demand for endoscopist competence. In this paper, we present a novel endoscopic system to perf