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From the 4 of 8 papers with an AI index.

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

11 citations

8 papers

cs.LG20261 cited

Domain adaptation for handwriting trajectory reconstruction from IMU sensors

Florent Imbert, Romain Tavenard, Yann Soullard +1

The paper proposes a domain adaptation method to create a unified feature representation for reconstructing handwriting trajectories from IMU-equipped digital pens, addressing sign…

cs.CV202611 cited

Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network

Wassim Swaileh, Florent Imbert, Yann Soullard +2

The paper presents a pipeline that uses sensor data from a digital pen and a temporal convolutional network to reconstruct online handwriting trajectories, aligning differing sampl…

cs.LG20266 cited

Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors

Florent Imbert, Eric Anquetil, Yann Soullard +1

The paper proposes a mixture-of-experts model to reconstruct online handwriting trajectories from IMU-equipped digital pens, handling both touching and hovering phases, and introdu…

cond-mat.mtrl-sci2026

Scalable Fabrication of Diamond-on-Silica Heterostructures via High-Selectivity Deep ICP-RIE and Room-Temperature Bonding

R. Chembra Vasudevan, A. Hammouti, J. Le Pouliquen +4

The paper presents a method to fully etch thick, NV‑doped single‑crystal diamond membranes using a SiO₂ hard mask and deep ICP‑RIE, followed by room‑temperature bonding of the etch…

cs.IR2026

FAST-MEL: A Fast, Accurate, and Storage Efficient Solution for Multimodal Entity Linking

Derrien Thomas, Laurent Amsaleg, Pascale Sébillot

Multimodal entity linking (MEL) is the task that consists of matching textual and visual mentions of entities in unstructured data to their corresponding entities in a knowledge ba…

cond-mat.mtrl-sci20261 cited

The impact of interfacial chemistry on the band offset of GaAs/GaO heterostructures

Sofia Apergi, Alfredo Pasquarello, Charles Cornet +1

GaO/GaAs heterojunctions are emerging as promising candidates for next-generation power electronics, photonics, and energy devices, leveraging the high breakdown voltage an…