Tuan-Hung Vu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 39

Top Venues

CoRR

ICCV

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

École Normale Supérieure, Paris, France (PHD)

Education History

École Normale Supérieure, Paris, France

PHD

Publications

Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV (2024)
Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord
Valeo4Cast: A Modular Approach to End-to-End Forecasting. CoRR (2024)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV (2023)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR (2023)
Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR (2023)
Ivan Lopes, Tuan-Hung Vu, Raoul de Charette
Cross-task Attention Mechanism for Dense Multi-task Learning. WACV (2023)
Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR (2023)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2022)
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops (2022)
Ivan Lopes, Tuan-Hung Vu, Raoul de Charette
Cross-task Attention Mechanism for Dense Multi-task Learning. CoRR (2022)
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops (2022)
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord
CSG0: Continual Urban Scene Generation with Zero Forgetting. CoRR (2021)
Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord
Semantic Palette: Guiding Scene Generation with Class Proportions. CoRR (2021)
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV (2021)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation. CoRR (2021)
Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR (2021)
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212 (2021)
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. CoRR (2021)
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2020)
Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Émilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users. CoRR (2020)
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation. CoRR (2020)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CVPR (2020)
Adithya Ranga, Filippo Giruzzi, Jagdish Bhanushali, Émilie Wirbel, Patrick Pérez, Tuan-Hung Vu, Xavier Perrotton
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users. Autonomous Vehicles and Machines (2020)
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Confidence Estimation via Auxiliary Models. CoRR (2020)
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CoRR (2019)
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Zero-Shot Semantic Segmentation. CoRR (2019)
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
Zero-Shot Semantic Segmentation. NeurIPS (2019)
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
DADA: Depth-aware Domain Adaptation in Semantic Segmentation. CoRR (2019)
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CVPR (2019)
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. ICCV (2019)
Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
Memory Warps for Long-Term Online Video Representations and Anticipation. WACV (2019)
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CoRR (2018)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Tube-CNN: Modeling temporal evolution of appearance for object detection in video. CoRR (2018)
Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
Memory Warps for Learning Long-Term Online Video Representations. CoRR (2018)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Context-aware CNNs for person head detection. CoRR (2015)
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Context-Aware CNNs for Person Head Detection. ICCV (2015)
Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic
Predicting Actions from Static Scenes. ECCV (5) (2014)

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Publication Activity (10 Years)

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Tuan-Hung Vu