Salim Khazem

Orcid: 0000-0001-5958-6120

According to our database1, Salim Khazem authored at least 14 papers between 2021 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
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching.
CoRR, May, 2026

AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers.
CoRR, March, 2026

Margin and Consistency Supervision for Calibrated and Robust Vision Models.
CoRR, March, 2026

SAFE-KD: Risk-Controlled Early-Exit Distillation for Vision Backbones.
CoRR, February, 2026

TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation.
CoRR, January, 2026

2025
Multi-Scale Visual Prompting for Lightweight Small-Image Classification.
CoRR, December, 2025

Cyclical Temporal Encoding and Hybrid Deep Ensembles for Multistep Energy Forecasting.
CoRR, December, 2025

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models.
CoRR, June, 2025

PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification.
CoRR, April, 2025

2024
Apprentissage profond et traitement d'images pour la détection et la prédiction des nœuds au cœur des rondins. (Deep-learning and image processing for tree knot detection and prediction).
PhD thesis, 2024

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark.
CoRR, 2024

PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation.
Proceedings of the Computer Vision Systems: 14th International Conference, 2023

2021
Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021


  Loading...