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20182026
most citedOnline Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

11 citations · 26 across the 12 of their papers we have counts for

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cs.CV2026★ 11 cited

Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

Wassim Swaileh, Florent Imbert, Yann Soullard +2

Handwriting with digital pens is a common way to facilitate human-computer interaction through the use of Online Handwriting (OH) trajectory reconstruction. In this work, we focus…

cs.CV2024

ReWind: Understanding Long Videos with Instructed Learnable Memory

Anxhelo Diko, Tinghuai Wang, Wassim Swaileh +2

Vision-Language Models (VLMs) are crucial for applications requiring integrated understanding textual and visual information. However, existing VLMs struggle with long videos due t…

cs.CV2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Xiaoyu Liang, Yaguan Qian, Jianchang Huang +4

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep lea…

cs.CV2021

Versailles-FP dataset: Wall Detection in Ancient

Wassim Swaileh, Dimitrios Kotzinos, Suman Ghosh +3

Access to historical monuments' floor plans over a time period is necessary to understand the architectural evolution and history. Such knowledge bases also helps to rebuild the hi…

cs.CV2018★ 10 cited

A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units

Wassim Swaileh, Yann Soullard, Thierry Paquet

We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language…

cs.CV2018★ 1 cited

A syllable based model for handwriting recognition

Wassim Swaileh, Thierry Paquet

In this paper, we introduce a new modeling approach of texts for handwriting recognition based on syllables. We propose a supervised syllabification approach for the French and Eng…