output
20142026
most citedGrad-SAM: Explaining Transformers via Gradient Self-Attention Maps

43 citations

14 papers

cs.CV2026

Colorful-Noise: Training-Free Low-Frequency Noise Manipulation for Color-Based Conditional Image Generation

Nadav Z. Cohen, Ofir Abramovich, Ariel Shamir

Text-to-image diffusion models generate images by gradually converting white Gaussian noise into a natural image. White Gaussian noise is well suited for producing diverse outputs…

cs.HC20261 cited

Improving Low-Vision Chart Accessibility via On-Cursor Visual Context

Yotam Sechayk, Hennes Rave, Max Rädler +4

Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult…

cs.HC20252 cited

VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos

Yotam Sechayk, Ariel Shamir, Amy Pavel +1

Instructors often rely on visual actions such as pointing, marking, and sketching to convey information in educational presentation videos. These subtle visual cues often lack verb…

cs.CC20253 cited

Meta-Mathematics of Computational Complexity Theory

Igor C. Oliveira

We survey results on the formalization and independence of mathematical statements related to major open problems in computational complexity theory. Our primary focus is on recent…

cs.HC20255 cited

FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization

Yuki Tatsukawa, I-Chao Shen, Mustafa Doga Dogan +4

Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods requi…

quant-ph20251 cited

Composing Quantum Algorithms

Stacey Jeffery

Composition is something we take for granted in classical algorithms design, and in particular, we take it as a basic axiom that composing ``efficient'' algorithms should result in…