activity
20232026
most citedMotion2Language, unsupervised learning of synchronized semantic motion segmentation

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks

Rodrigo Ferreira Rodrigues, Karim Radouane, Jose G Moreno +1

In the context of geodata, existing Large Language Models have often been studied in a homogeneous setting, which has considerably limited insights into their generalization capabi…

cs.CL2026

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding

Karim Radouane, Jose G Moreno, Lynda Tamine

Understanding concepts is fundamental to generalization. Despite their impressive performance on a wide range of tasks, Large Language Models (LLMs) still struggle with genuine con…

cs.CV2025

MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing

Karim Radouane, Hanane Azzag, Mustapha lebbah

We propose a unified framework that integrates object detection (OD) and visual grounding (VG) for remote sensing (RS) imagery. To support conventional OD and establish an intuitiv…

cs.CV2024

Transformer with Controlled Attention for Synchronous Motion Captioning

Karim Radouane, Sylvie Ranwez, Julien Lagarde +1

In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences. This task pertain…

cs.CV2023★ 4 cited

Motion2Language, unsupervised learning of synchronized semantic motion segmentation

Karim Radouane, Andon Tchechmedjiev, Julien Lagarde +1

In this paper, we investigate building a sequence to sequence architecture for motion to language translation and synchronization. The aim is to translate motion capture inputs int…

cs.CV2023

Guided Attention for Interpretable Motion Captioning

Karim Radouane, Julien Lagarde, Sylvie Ranwez +1

Diverse and extensive work has recently been conducted on text-conditioned human motion generation. However, progress in the reverse direction, motion captioning, has seen less com…