15 citations · 55 across the 14 of their papers we have counts for
14 papers
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…
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…
InkFM: A Foundational Model for Full-Page Online Handwritten Note Understanding
Anastasiia Fadeeva, Vincent Coriou, Diego Antognini +2
Tablets and styluses are increasingly popular for taking notes. To optimize this experience and ensure a smooth and efficient workflow, it's important to develop methods for accura…
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition
Philippe Gervais, Anastasiia Fadeeva, Andrii Maksai
Recognition of handwritten mathematical expressions allows to transfer scientific notes into their digital form. It facilitates the sharing, searching, and preservation of scientif…
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,…
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…
DSS: Synthesizing long Digital Ink using Data augmentation, Style encoding and Split generation
Aleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin +2
As text generative models can give increasingly long answers, we tackle the problem of synthesizing long text in digital ink. We show that the commonly used models for this task fa…
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
Michael Jungo, Beat Wolf, Andrii Maksai +2
On-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions durin…
Sampling and Ranking for Digital Ink Generation on a tight computational budget
Andrei Afonin, Andrii Maksai, Aleksandr Timofeev +1
Digital ink (online handwriting) generation has a number of potential applications for creating user-visible content, such as handwriting autocompletion, spelling correction, and b…
Inkorrect: Online Handwriting Spelling Correction
Andrii Maksai, Henry Rowley, Jesse Berent +1
We introduce Inkorrect, a data- and label-efficient approach for online handwriting (Digital Ink) spelling correction - DISC. Unlike previous work, the proposed method does not req…
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking
Andrii Maksai, Pascal Fua
Identity Switching remains one of the main difficulties Multiple Object Tracking (MOT) algorithms have to deal with. Many state-of-the-art approaches now use sequence models to sol…
The WILDTRACK Multi-Camera Person Dataset
Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet +6
People detection methods are highly sensitive to the perpetual occlusions among the targets. As multi-camera set-ups become more frequently encountered, joint exploitation of the a…
Globally Consistent Multi-People Tracking using Motion Patterns
Andrii Maksai, Xinchao Wang, Francois Fleuret +1
Many state-of-the-art approaches to people tracking rely on detecting them in each frame independently, grouping detections into short but reliable trajectory segments, and then fu…
What Players do with the Ball: A Physically Constrained Interaction Modeling
Andrii Maksai, Xinchao Wang, Pascal Fua
Tracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low-resolution images, due to the small size of the ball, its speed t…