output
20072026
most citedObject Level Visual Reasoning in Videos

86 citations

researchers with a paper here
collaborating institutions

21 papers

cs.LG2026

Challenges of Explainability in Continual Learning for Time Series Forecasting

Quentin Besnard, Emmanuel Doumard, Nicolas Labroche +2

Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary…

math.OC2026

Heuristic approaches for solving a bilevel optimistic scheduling problem on parallel machines

Quentin Schau, Federico Della Croce, Olivier Ploton +1

This work addresses the uniform parallel machine scheduling problem within an optimistic bilevel optimization framework. The leader seeks to minimize the weighted number of tardy j…

math.OC2026

Solution of a bilevel optimistic scheduling problem on parallel machines

Quentin Schau, Olivier Ploton, Vincent T'kindt +3

We consider the uniform parallel machines scheduling problem in the context of optimistic bilevel optimization, where two speed options are considered. In this scenario, the leader…

cs.LG2025

Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis

Guillaume Tejedor, Veronika Peralta, Nicolas Labroche +3

Amyotrophic lateral sclerosis (ALS) is a severe disease with a typical survival of 3-5 years after symptom onset. Current treatments offer only limited life extension, and the vari…

cs.CV2025

Ternarization of Vision Language Models for use on edge devices

Ben Crulis, Cyril De Runz, Barthelemy Serres +1

We propose a process to compress a pre-trained Vision Language Model into a ternary version of itself instead of training a ternary model from scratch. A new initialization scheme…

cs.CV2024

Few-shot target-driven instance detection based on open-vocabulary object detection models

Ben Crulis, Barthelemy Serres, Cyril De Runz +1

Current large open vision models could be useful for one and few-shot object recognition. Nevertheless, gradient-based re-training solutions are costly. On the other hand, open-voc…