activity
20172025
most citedWebVision Challenge: Visual Learning and Understanding With Web Data

14 citations · 77 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2025

Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation

Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali +9

Graphic layout generation is a growing research area focusing on generating aesthetically pleasing layouts ranging from poster designs to documents. While recent research has explo…

cs.CV2025

HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations

Yiran Xu, Siqi Xie, Zhuofang Li +13

Image retargeting aims to change the aspect-ratio of an image while maintaining its content and structure with less visual artifacts. Existing methods still generate many artifacts…

cs.CV2024

Representing Online Handwriting for Recognition in Large Vision-Language Models

Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai +4

The adoption of tablets with touchscreens and styluses is increasing, and a key feature is converting handwriting to text, enabling search, indexing, and AI assistance. Meanwhile,…

cs.CV2024★ 1 cited

InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write

Blagoj Mitrevski, Arina Rak, Julian Schnitzler +4

Digital note-taking is gaining popularity, offering a durable, editable, and easily indexable way of storing notes in a vectorized form, known as digital ink. However, a substantia…

cs.CV2023★ 4 cited

Three Towers: Flexible Contrastive Learning with Pretrained Image Models

Jannik Kossen, Mark Collier, Basil Mustafa +7

We introduce Three Towers (3T), a flexible method to improve the contrastive learning of vision-language models by incorporating pretrained image classifiers. While contrastive mod…

cs.LG2023

When does Privileged Information Explain Away Label Noise?

Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria +4

Leveraging privileged information (PI), or features available during training but not at test time, has recently been shown to be an effective method for addressing label noise. Ho…