Real-Time End-to-End Action Detection with Two-Stream Networks. - Alaaeldin El-Nouby; Graham W. Taylor (CRV, 2018)

Keep Drawing It: Iterative language-based image generation and editing. - Alaaeldin El-Nouby; Shikhar Sharma 001; Hannes Schulz; R. Devon Hjelm; Layla El Asri; Samira Ebrahimi Kahou; Yoshua Bengio; Graham W. Taylor (CoRR, 2018)

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. - Alaaeldin El-Nouby; Shikhar Sharma 001; Hannes Schulz; R. Devon Hjelm; Layla El Asri; Samira Ebrahimi Kahou; Yoshua Bengio; Graham W. Taylor (ICCV, 2019)

Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. - Alaaeldin El-Nouby; Shuangfei Zhai; Graham W. Taylor; Joshua M. Susskind (CoRR, 2019)

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. - Benjamin Graham; Alaaeldin El-Nouby; Hugo Touvron; Pierre Stock; Armand Joulin; Hervé Jégou; Matthijs Douze (ICCV, 2021)

Training Vision Transformers for Image Retrieval. - Alaaeldin El-Nouby; Natalia Neverova; Ivan Laptev; Hervé Jégou (CoRR, 2021)

ResMLP: Feedforward networks for image classification with data-efficient training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alaaeldin El-Nouby; Gautier Izacard; Hugo Touvron; Ivan Laptev; Hervé Jégou; Edouard Grave (CoRR, 2021)

Augmenting Convolutional networks with attention-based aggregation. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Piotr Bojanowski; Armand Joulin; Gabriel Synnaeve; Hervé Jégou (CoRR, 2021)

Three Things Everyone Should Know About Vision Transformers. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Jakob Verbeek; Hervé Jégou (ECCV (24), 2022)

ImageBind One Embedding Space to Bind Them All. - Rohit Girdhar; Alaaeldin El-Nouby; Zhuang Liu; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

OmniMAE: Single Model Masked Pretraining on Images and Videos. - Rohit Girdhar; Alaaeldin El-Nouby; Mannat Singh; Kalyan Vasudev Alwala; Armand Joulin; Ishan Misra (CVPR, 2023)

Variable Rate Allocation for Vector-Quantized Autoencoders. - Federico Baldassarre; Alaaeldin El-Nouby; Hervé Jégou (ICASSP, 2023)

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. - Matthew J. Muckley; Alaaeldin El-Nouby; Karen Ullrich; Hervé Jégou; Jakob Verbeek (ICML, 2023)

Are Visual Recognition Models Robust to Image Compression? - João Maria Janeiro; Stanislav Frolov; Alaaeldin El-Nouby; Jakob Verbeek (CoRR, 2023)

Image Compression with Product Quantized Masked Image Modeling. - Alaaeldin El-Nouby; Matthew J. Muckley; Karen Ullrich; Ivan Laptev; Jakob Verbeek; Hervé Jégou (Trans. Mach. Learn. Res., 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Scalable Pre-training of Large Autoregressive Image Models. - Alaaeldin El-Nouby; Michal Klein; Shuangfei Zhai; Miguel Ángel Bautista 001; Vaishaal Shankar; Alexander T. Toshev; Joshua M. Susskind; Armand Joulin (ICML, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - Maxime Oquab; Timothée Darcet; Théo Moutakanni; Huy V. Vo; Marc Szafraniec; Vasil Khalidov; Pierre Fernandez; Daniel Haziza; Francisco Massa; Alaaeldin El-Nouby; Mido Assran; Nicolas Ballas; et al. (Trans. Mach. Learn. Res., 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)

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. - Roman Bachmann 001; Jesse Allardice; David Mizrahi; Enrico Fini; Oguzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan (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)

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