1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Revisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability
Runfeng Qu, Pia K Bideau, Ole Hall +3
Scene graph generation (SGG) approaches can be broadly classified into detector-based and query-based methods according to their underlying reasoning mechanisms. However, the discr…
cs.CV2026
Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation
Runfeng Qu, Ole Hall, Pia K Bideau +4
Scene Graph Generation (SGG) suffers from a long-tailed distribution, where a few predicate classes dominate while many others are underrepresented, leading to biased models that u…
cs.NE2024★ 1 cited
Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models
Ole Hall, Anil Yaman
Generative Adversarial Networks (GANs) have shown great success in generating high quality images and are thus used as one of the main approaches to generate art images. However, u…