Convolutional Neural Networks for joint object detection and pose estimation: A comparative study. - Francisco Massa; Mathieu Aubry; Renaud Marlet (CoRR, 2014)

Automatic 3D Car Model Alignment for Mixed Image-Based Rendering. - Rodrigo Ortiz Cayon; Abdelaziz Djelouah; Francisco Massa; Mathieu Aubry; George Drettakis (3DV, 2016)

Crafting a multi-task CNN for viewpoint estimation. - Francisco Massa; Renaud Marlet; Mathieu Aubry (BMVC, 2016)

Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views. - Francisco Massa; Bryan C. Russell; Mathieu Aubry (CVPR, 2016)

Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks. - Joost R. van Amersfoort; Wenzhe Shi; Alejandro Acosta; Francisco Massa; Johannes Totz; Zehan Wang; Jose Caballero (CoRR, 2017)

PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Adam Paszke; Sam Gross; Francisco Massa; Adam Lerer; James Bradbury; Gregory Chanan; Trevor Killeen; Zeming Lin; Natalia Gimelshein; Luca Antiga; Alban Desmaison; Andreas Köpf; et al. (NeurIPS, 2019)

End-to-End Object Detection with Transformers. - Nicolas Carion; Francisco Massa; Gabriel Synnaeve; Nicolas Usunier; Alexander Kirillov; Sergey Zagoruyko (ECCV (1), 2020)

MLPerf Inference Benchmark. - Vijay Janapa Reddi; Christine Cheng; David Kanter; Peter Mattson; Guenther Schmuelling; Carole-Jean Wu; Brian Anderson; Maximilien Breughe; Mark Charlebois; William Chou; Ramesh Chukka; Cody Coleman; et al. (ISCA, 2020)

Training data-efficient image transformers & distillation through attention. - Hugo Touvron; Matthieu Cord; Matthijs Douze; Francisco Massa; Alexandre Sablayrolles; Hervé Jégou (ICML, 2021)

Hybrid Transformers for Music Source Separation. - Simon Rouard; Francisco Massa; Alexandre Défossez (ICASSP, 2023)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile. - Ruisi Zhang; Tianyu Liu; Will Feng; Andrew Gu; Sanket Purandare; Wanchao Liang; Francisco Massa (CoRR, 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)

Inference-time sparse attention with asymmetric indexing. - Pierre-Emmanuel Mazaré; Gergely Szilvasy; Maria Lomeli; Francisco Massa; Naila Murray; Hervé Jégou; Matthijs Douze (CoRR, 2025)

Accelerating Transformer Inference and Training with 2:4 Activation Sparsity. - Daniel Haziza; Timothy Chou; Dhruv Choudhary; Luca Wehrstedt; Francisco Massa; Jiecao Yu; Geonhwa Jeong; Supriya Rao; Patrick Labatut; Jesse Cai (CoRR, 2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)

Back to the Features: DINO as a Foundation for Video World Models. - Federico Baldassarre; Marc Szafraniec; Basile Terver; Vasil Khalidov; Francisco Massa; Yann LeCun; Patrick Labatut; Maximilian Seitzer; Piotr Bojanowski (CoRR, 2025)

DINOv3. - Oriane Siméoni; Huy V. Vo; Maximilian Seitzer; Federico Baldassarre; Maxime Oquab; Cijo Jose; Vasil Khalidov; Marc Szafraniec; Seung Eun Yi; Michaël Ramamonjisoa; Francisco Massa; Daniel Haziza; et al. (CoRR, 2025)