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Tuan-Hung Vu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Tuan-Hung Vu 0001 — IMT Lille Douai, France
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2020 – today
- 2024
- [c17]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. 3DV 2024: 421-431 - [c16]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-Guided Domain Generalized Segmentation. CVPR 2024: 23428-23437 - [c15]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? ECCV (23) 2024: 442-459 - [i25]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 abs/2406.08113 (2024) - [i24]Björn Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty:
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation. CoRR abs/2409.04409 (2024) - [i23]Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024) - [i22]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. CoRR abs/2410.05270 (2024) - 2023
- [j3]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): 1533-1544 (2023) - [c14]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. ICCV 2023: 18577-18587 - [c13]Ivan Lopes, Tuan-Hung Vu, Raoul de Charette:
Cross-task Attention Mechanism for Dense Multi-task Learning. WACV 2023: 2328-2337 - [i21]Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu, Renaud Marlet, Nicolas Courty:
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. CoRR abs/2304.03251 (2023) - [i20]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
A Simple Recipe for Language-guided Domain Generalized Segmentation. CoRR abs/2311.17922 (2023) - [i19]Thibaut Loiseau, Tuan-Hung Vu, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Reliability in Semantic Segmentation: Can We Use Synthetic Data? CoRR abs/2312.09231 (2023) - 2022
- [j2]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): 6043-6055 (2022) - [c12]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CVPR Workshops 2022: 3678-3686 - [c11]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: 3750-3759 - [i18]Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2204.11667 (2022) - [i17]Ivan Lopes, Tuan-Hung Vu, Raoul de Charette:
Cross-task Attention Mechanism for Dense Multi-task Learning. CoRR abs/2206.08927 (2022) - [i16]Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. CoRR abs/2212.03241 (2022) - 2021
- [j1]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Handling new target classes in semantic segmentation with domain adaptation. Comput. Vis. Image Underst. 212: 103258 (2021) - [c10]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation With Class Proportions. CVPR 2021: 9342-9350 - [c9]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. ICCV 2021: 9052-9061 - [i15]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation. CoRR abs/2101.07253 (2021) - [i14]Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation with Class Proportions. CoRR abs/2106.01629 (2021) - [i13]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. CoRR abs/2108.06962 (2021) - [i12]Himalaya Jain, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord:
CSG0: Continual Urban Scene Generation with Zero Forgetting. CoRR abs/2112.03252 (2021) - 2020
- [c8]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CVPR 2020: 12602-12611 - [c7]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: 1-10 - [i11]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2004.01130 (2020) - [i10]Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation. CoRR abs/2006.08658 (2020) - [i9]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 abs/2007.05397 (2020) - [i8]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. CoRR abs/2012.06508 (2020)
2010 – 2019
- 2019
- [c6]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CVPR 2019: 2517-2526 - [c5]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. ICCV 2019: 7363-7372 - [c4]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. NeurIPS 2019: 466-477 - [c3]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Long-Term Online Video Representations and Anticipation. WACV 2019: 1156-1165 - [i7]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
DADA: Depth-aware Domain Adaptation in Semantic Segmentation. CoRR abs/1904.01886 (2019) - [i6]Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Zero-Shot Semantic Segmentation. CoRR abs/1906.00817 (2019) - [i5]Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. CoRR abs/1911.12676 (2019) - 2018
- [b1]Tuan-Hung Vu:
Learning visual models for person detection and action prediction. (Apprentissage de modèles visuels pour la détection de personnes et la prédiction d'actions). École Normale Supérieure, Paris, France, 2018 - [i4]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Learning Long-Term Online Video Representations. CoRR abs/1803.10861 (2018) - [i3]Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CoRR abs/1811.12833 (2018) - [i2]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Tube-CNN: Modeling temporal evolution of appearance for object detection in video. CoRR abs/1812.02619 (2018) - 2015
- [c2]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Context-Aware CNNs for Person Head Detection. ICCV 2015: 2893-2901 - [i1]Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Context-aware CNNs for person head detection. CoRR abs/1511.07917 (2015) - 2014
- [c1]Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic:
Predicting Actions from Static Scenes. ECCV (5) 2014: 421-436
Coauthor Index
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