I am currently a Research Scientist at FAIR Labs, Meta. I obtained my PhD in Computer Science from Ecole Normale Superieure on November 2022. My thesis was prepared in the WILLOW team at INRIA and the Valeo.ai team under the supervision of Prof. Jean Ponce and Dr. Patrick Pérez. Prior to my PhD, I was a student in the Mathématique-Vision-Apprentissage (MVA) master at Ecole Normale Supérieure de Paris Saclay and the Ingénieur Polytechnicien Program of Ecole Polytechnique.
My research focuses on learning problems in images that require less supervision including object discovery, self-supervised feature learning, weakly supervised object detection/segmentation and active learning.
Contacts: ✉
News
- 04/2023 We release DINOv2 , a family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
- 11/2022 I am joining FAIR Labs, Meta as an AI Research Scientist.
- 11/2022 I successully defended my thesis on "Annotation-efficient learning for object discovery and detection". The thesis was reviewed by Prof. Andrew Zisserman and Prof. Tinne Tuytelaars, examinated by Dr. Cordelia Schmid, Dr. Yannis Avrithis, Dr. Elena Sizikova (invited member) and Dr. Oriane Siméoni (invited member), and supervised by Prof. Jean Ponce and Dr. Patrick Pérez.
- 07/2022 Our work on active and weakly-supervised object detection, BiB, is accepted to ECCV 2022.
- 10/2021 Our work on unsupervised object discovery/detection, LOST, is accepted to BMVC 2021.
- 09/2021 Our work on large-scale unsupervised object discovery, LOD, is accepted to NeuRIPS 2021.
- 03/2021 Our paper on weakly supervised lesion segmentation is accepted at MIDL 2021.
- 07/2020 Our work on unsupervised object discovery, rOSD, is accepted at ECCV 2020.
- 10/2019 I am visiting Center for Data Science, New York University for 3 months.
- 03/2019 Our work on unsupervised object discovery, OSD, is accepted at CVPR 2019.
- 10/2018 I start my PhD in INRIA's Willow team and Valeo.ai under the supervision of Prof. Jean Ponce and Dr. Patrick Pérez.
- 04/2018 I start a 6-month research internship in the WILLOW team of INRIA and Center for Data Science (New York university), working on object discovery under the supervision of Prof. Jean Ponce and Prof. Yann LeCun.
- 04/2017 I start a 5-month internship at Technicolor, working on Image inpainting under the supervision of Dr. Patrick Pérez.
Invited Talks
- 06/2023 Annotation-efficient learning for object discovery and detection, VinAI seminar.
- 12/2021 Unsupervised Object Discovery, IMAGINE team, École des ponts ParisTech, Paris.
Publications
Arxiv 2023
DINOv2: Learning robust visual features without supervision
[project page]
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Armand Joulin, Piotr Bojanowski et al.
[project page]
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Armand Joulin, Piotr Bojanowski et al.
Arxiv 2023
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar
[paper]
Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakani, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
[paper]
Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakani, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
ECCV 2022
Active Learning Strategies for Weakly-Supervised Object Detection
[project page]
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
[project page]
Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce
NeurIPS 2021
Large-Scale Unsupervised Object Discovery
[project page]
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
[project page]
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
BMVC 2021
Localizing Objects with Self-Supervised Transformers and no Labels
[project page]
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet and Jean Ponce
[project page]
Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet and Jean Ponce
MIDL 2021
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
[paper][code]
Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M Summers, Elena Sizikova
[paper][code]
Tianshu Chu, Xinmeng Li, Huy V. Vo, Ronald M Summers, Elena Sizikova
ECCV 2020
Toward unsupervised, multi-object discovery in large-scale image collections
[project page]
Huy V. Vo, Patrick Pérez, Jean Ponce
[project page]
Huy V. Vo, Patrick Pérez, Jean Ponce
CVPR 2019
Unsupervised image matching and object discovery as optimization
[project page]
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
[project page]
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce