Huy V. Vo

According to our database, Huy V. Vo authored at least 20 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images.

Joséphine Raugel, Maximilian Seitzer, Marc Szafraniec, Huy V. Vo, Jérémy Rapin, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King

CoRR, May, 2026

CHMv2: Improvements in Global Canopy Height Mapping using DINOv3.

John Brandt, Seung Eun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov, Jessica Ertel, Justine Spore, Huy V. Vo, Michaël Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, Camille Couprie

CoRR, March, 2026

Revisiting [CLS] and Patch Token Interaction in Vision Transformers.

Alexis Marouani, Oriane Siméoni, Hervé Jégou, Piotr Bojanowski, Huy V. Vo

CoRR, February, 2026

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, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

Trans. Mach. Learn. Res., 2026

2025

Disentangling the Factors of Convergence between Brains and Computer Vision Models.

Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King

CoRR, August, 2025

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, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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, Piotr Bojanowski

Trans. Mach. Learn. Res., 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, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

Trans. Mach. Learn. Res., 2024

2023

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, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie

CoRR, 2023

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

PhD thesis, 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, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell

CoRR, 2022

Active Learning Strategies for Weakly-Supervised Object Detection.

Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Large-Scale Unsupervised Object Discovery.

Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning.

Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M. Summers, Elena Sizikova

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

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

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Toward Unsupervised, Multi-object Discovery in Large-Scale Image Collections.

Huy V. Vo, Patrick Pérez, Jean Ponce

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unsupervised Image Matching and Object Discovery as Optimization.

Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Structural inpainting.

Huy V. Vo, Ngoc Q. K. Duong, Patrick Pérez

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2013

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

2008

Information-As-System in Information Systems: A Systems Thinking Perspective.

Tuan Manh Nguyen, Huy V. Vo

Int. J. Inf. Technol. Syst. Approach, 2008