Synthetic training data generation for deep learning based quality inspection. - Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen (CoRR, 2021)

Semantic and Geometric Unfolding of StyleGAN Latent Space. - Mustafa Shukor; Xu Yao; Bharath Bhushan Damodaran; Pierre Hellier (CoRR, 2021)

Buildings Classification using Very High Resolution Satellite Imagery. - Mohammad Dimassi; Abed Ellatif Samhat; Mohammad Zaraket; Jamal Haydar; Mustafa Shukor; Ali J. Ghandour (CoRR, 2021)

Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. - Mustafa Shukor; Guillaume Couairon; Matthieu Cord (BMVC, 2022)

Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval. - Mustafa Shukor; Guillaume Couairon; Asya Grechka; Matthieu Cord (CVPR Workshops, 2022)

Semantic Unfolding of Stylegan Latent Space. - Mustafa Shukor; Xu Yao; Bharath Bhushan Damodaran; Pierre Hellier (ICIP, 2022)

Video Coding using Learned Latent GAN Compression. - Mustafa Shukor; Bharath Bhushan Damodaran; Xu Yao; Pierre Hellier (ACM Multimedia, 2022)

Structured Vision-Language Pretraining for Computational Cooking. - Mustafa Shukor; Nicolas Thome; Matthieu Cord (CoRR, 2022)

eP-ALM: Efficient Perceptual Augmentation of Language Models. - Mustafa Shukor; Corentin Dancette; Matthieu Cord (ICCV, 2023)

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards. - Alexandre Ramé; Guillaume Couairon; Corentin Dancette; Jean-Baptiste Gaya; Mustafa Shukor; Laure Soulier; Matthieu Cord (NeurIPS, 2023)

Unified Model for Image, Video, Audio and Language Tasks. - Mustafa Shukor; Corentin Dancette; Alexandre Ramé; Matthieu Cord (CoRR, 2023)

Empirical Study of PEFT techniques for Winter Wheat Segmentation. - Mohamad Hasan Zahweh; Hasan Nasrallah; Mustafa Shukor; Ghaleb Faour; Ali J. Ghandour (CoRR, 2023)

Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation. - Abdul Karim Gizzini; Mustafa Shukor; Ali J. Ghandour (CoRR, 2023)

Zero-Shot Refinement of Buildings' Segmentation Models using SAM. - Ali Mayladan; Hasan Nasrallah; Hasan Moughnieh; Mustafa Shukor; Ali J. Ghandour (CoRR, 2023)

Sci-Net: scale-invariant model for buildings segmentation from aerial imagery. - Hasan Nasrallah; Mustafa Shukor; Ali J. Ghandour (Signal Image Video Process., 2023)

UnIVAL: Unified Model for Image, Video, Audio and Language Tasks. - Mustafa Shukor; Corentin Dancette; Alexandre Ramé; Matthieu Cord (Trans. Mach. Learn. Res., 2023)

What Makes Multimodal In-Context Learning Work? - Folco Bertini Baldassini; Mustafa Shukor; Matthieu Cord; Laure Soulier; Benjamin Piwowarski (CVPR Workshops, 2024)

Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs. - Théophane Vallaeys; Mustafa Shukor; Matthieu Cord; Jakob Verbeek (ECCV Workshops (22), 2024)

Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning. - Mustafa Shukor; Alexandre Ramé; Corentin Dancette; Matthieu Cord (ICLR, 2024)

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut. - Paul Couairon; Mustafa Shukor; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (NeurIPS, 2024)

A Concept-Based Explainability Framework for Large Multimodal Models. - Jayneel Parekh; Pegah Khayatan; Mustafa Shukor; Alasdair Newson; Matthieu Cord (NeurIPS, 2024)

Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs. - Mustafa Shukor; Matthieu Cord (NeurIPS, 2024)

FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models. - Barbara Toniella Corradini; Mustafa Shukor; Paul Couairon; Guillaume Couairon; Franco Scarselli; Matthieu Cord (CoRR, 2024)

Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. - Paul Couairon; Mustafa Shukor; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (CoRR, 2024)

Skipping Computations in Multimodal LLMs. - Mustafa Shukor; Matthieu Cord (CoRR, 2024)

Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. - Mustafa Shukor; Nicolas Thome; Matthieu Cord (Comput. Vis. Image Underst., 2024)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - Enrico Fini; Mustafa Shukor; Xiujun Li; Philipp Dufter; Michal Klein; David Haldimann; Sai Aitharaju; Victor G. Turrisi da Costa; Louis Béthune; Zhe Gan; Alexander Toshev; Marcin Eichner; et al. (CVPR, 2025)

Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment. - Pegah Khayatan; Mustafa Shukor; Jayneel Parekh; Matthieu Cord (CoRR, 2025)

Scaling Laws for Native Multimodal Models. - Mustafa Shukor; Enrico Fini; Victor Guilherme Turrisi da Costa; Matthieu Cord; Joshua M. Susskind; Alaaeldin El-Nouby (CoRR, 2025)

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics. - Mustafa Shukor; Dana Aubakirova; Francesco Capuano; Pepijn Kooijmans; Steven Palma; Adil Zouitine; Michel Aractingi; Caroline Pascal; Martino Russi; Andrés Marafioti; Simon Alibert; Matthieu Cord; et al. (CoRR, 2025)

Scaling Laws for Optimal Data Mixtures. - Mustafa Shukor; Louis Béthune; Dan Busbridge; David Grangier; Enrico Fini; Alaaeldin El-Nouby; Pierre Ablin (CoRR, 2025)