Information-As-System in Information Systems: A Systems Thinking Perspective. - Tuan Manh Nguyen; Huy V. Vo (Int. J. Inf. Technol. Syst. Approach, 2008)

A Semiosis Model of the Natures and Relationships among Categories of Information in IS. - Tuan Manh Nguyen; Huy V. Vo (Int. J. Inf. Technol. Syst. Approach, 2013)

Structural inpainting. - Huy V. Vo; Ngoc Q. K. Duong; Patrick Pérez (ACM Multimedia, 2018)

Unsupervised Image Matching and Object Discovery as Optimization. - Huy V. Vo; Francis R. Bach; Minsu Cho; Kai Han 001; Yann LeCun; Patrick Pérez; Jean Ponce (CVPR, 2019)

Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections. - Huy V. Vo; Patrick Pérez; Jean Ponce (ECCV (23), 2020)

Localizing Objects with Self-supervised Transformers and no Labels. - Oriane Siméoni; Gilles Puy; Huy V. Vo; Simon Roburin; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Renaud Marlet; Jean Ponce (BMVC, 2021)

Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning. - Tianshu Chu; Xinmeng Li; Huy V. Vo; Ronald M. Summers; Elena Sizikova (MIDL, 2021)

Large-Scale Unsupervised Object Discovery. - Huy V. Vo; Elena Sizikova; Cordelia Schmid; Patrick Pérez; Jean Ponce (NeurIPS, 2021)

Active Learning Strategies for Weakly-Supervised Object Detection. - Huy V. Vo; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Jean Ponce (ECCV (30), 2022)

Automatic Infectious Disease Classification Analysis with Concept Discovery. - Elena Sizikova; Joshua Vendrow; Xu Cao; Rachel Grotheer; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Thomas Merkh; R. W. M. A. Madushani; Kenny Moise; Annie Ulichney; Huy V. Vo; et al. (CoRR, 2022)

Annotation-efficient learning for object discovery and detection. (Les méthodes d'apprentissage efficaces en annotation pour la découverte et la détection d'objets). - Huy V. Vo (2022)

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. - Jamie Tolan; Hung-I Yang; Ben Nosarzewski; Guillaume Couairon; Huy V. Vo; John Brandt; Justine Spore; Sayantan Majumdar; Daniel Haziza; Janaki Vamaraju; Théo Moutakanni; Piotr Bojanowski; et al. (CoRR, 2023)

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)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. - Huy V. Vo; Vasil Khalidov; Timothée Darcet; Théo Moutakanni; Nikita Smetanin; Marc Szafraniec; Hugo Touvron; Camille Couprie; Maxime Oquab; Armand Joulin; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. - Cijo Jose; Théo Moutakanni; Dahyun Kang; Federico Baldassarre; Timothée Darcet; Hu Xu 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 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)