Pierre Le Jeune

Orcid: 0000-0001-8327-3562

According to our database1, Pierre Le Jeune authored at least 15 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs.
CoRR, May, 2026

2025
Phare: A Safety Probe for Large Language Models.
CoRR, May, 2025

RealHarm: A Collection of Real-World Language Model Application Failures.
CoRR, April, 2025

A comparative attention framework for better few-shot object detection on aerial images.
Pattern Recognit., 2025

Extension of Intersection Over Union to Improve Small Object Detection in Few-Shot Regime.
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
Improving Few-Shot and Cross-Domain Object Detection on Aerial Images with a Diffusion-Based Detector.
Proceedings of the IGARSS 2024, 2024

2023
Détection d'objets dans des images aériennes en cas de faible supervision. (Object detection in aerial Images in scarce data regime).
PhD thesis, 2023

Object Detection in Aerial Images in Scarce Data Regimes.
CoRR, 2023

Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime.
CoRR, 2023

Cross-Scale Query-Support Alignment Approach for Small Object Detection in the Few-Shot Regime.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images.
CoRR, 2022

A Unified Framework for Attention-Based Few-Shot Object Detection.
CoRR, 2022

Improving Few-Shot Object Detection through a Performance Analysis on Aerial and Natural Images.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2019
Logic and Linear Programs to Understand Cancer Response.
Proceedings of the Automated Reasoning for Systems Biology and Medicine, 2019


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