Alice Caplier

Alice Caplier

Grenoble INP

H-index: 34

Europe-France

About Alice Caplier

Alice Caplier, With an exceptional h-index of 34 and a recent h-index of 20 (since 2020), a distinguished researcher at Grenoble INP, specializes in the field of Image processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric

Multi-QP Rate Distortion Optimized Quantization Using Deep Learning

How far generated data can impact Neural Networks performance?

Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality

Using the overlapping score to improve corruption benchmarks

Using synthetic corruptions to measure robustness to natural distribution shifts

Time-and resource-efficient time-to-collision forecasting for indoor pedestrian obstacles avoidance

Study of naturalness in tone-mapped images

Alice Caplier Information

University

Position

GIPSA-lab

Citations(all)

4784

Citations(since 2020)

1412

Cited By

3971

hIndex(all)

34

hIndex(since 2020)

20

i10Index(all)

83

i10Index(since 2020)

34

Email

University Profile Page

Grenoble INP

Google Scholar

View Google Scholar Profile

Alice Caplier Skills & Research Interests

Image processing

Top articles of Alice Caplier

Title

Journal

Author(s)

Publication Date

Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric

arXiv preprint arXiv:2402.11908

Sayeh Gholipour Picha

Dawood AL Chanti

Alice Caplier

2024/2/19

Multi-QP Rate Distortion Optimized Quantization Using Deep Learning

Pierre-Alain Afro

Loïc Strus

Laurent Bonnaud

Alice Caplier

Frédéric Robin

2023/12/4

How far generated data can impact Neural Networks performance?

arXiv preprint arXiv:2303.15223

Sayeh Gholipour Picha

Dawood AL Chanti

Alice Caplier

2023/3/27

Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality

Journal of Imaging

Quyet-Tien Le

Patricia Ladret

Huu-Tuan Nguyen

Alice Caplier

2022/6/9

Using the overlapping score to improve corruption benchmarks

Alfred Laugros

Alice Caplier

Matthieu Ospici

2021/9/19

Using synthetic corruptions to measure robustness to natural distribution shifts

arXiv preprint arXiv:2107.12052

Alfred Laugros

Alice Caplier

Matthieu Ospici

2021/7/26

Time-and resource-efficient time-to-collision forecasting for indoor pedestrian obstacles avoidance

Journal of imaging

David Urban

Alice Caplier

2021/3/25

Study of naturalness in tone-mapped images

Computer Vision and Image Understanding

Quyet-Tien Le

Patricia Ladret

Huu-Tuan Nguyen

Alice Caplier

2020/7/1

Addressing neural network robustness with mixup and targeted labeling adversarial training

Alfred Laugros

Alice Caplier

Matthieu Ospici

2020

Image aesthetic assessment based on image classification and region segmentation

Journal of imaging

Quyet-Tien Le

Patricia Ladret

Huu-Tuan Nguyen

Alice Caplier

2020/12/27

Increasing the Coverage and Balance of Robustness Benchmarks by Using Non-Overlapping Corruptions

Alfred LAUGROS

Alice Caplier

Matthieu Ospici

2020/10/2

See List of Professors in Alice Caplier University(Grenoble INP)