Tuan-Hung Vu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024.
CoRR, 2024

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation.
CoRR, 2024

Valeo4Cast: A Modular Approach to End-to-End Forecasting.
CoRR, 2024

A Simple Recipe for Language-Guided Domain Generalized Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation.
Proceedings of the International Conference on 3D Vision, 2024

2023
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Reliability in Semantic Segmentation: Can We Use Synthetic Data?
CoRR, 2023

Cross-task Attention Mechanism for Dense Multi-task Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PØDA: Prompt-driven Zero-shot Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Confidence Estimation via Auxiliary Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

CSG0: Continual Urban Scene Generation with Zero Forgetting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Handling new target classes in semantic segmentation with domain adaptation.
Comput. Vis. Image Underst., 2021

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantic Palette: Guiding Scene Generation With Class Proportions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation.
CoRR, 2020

BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation.
CoRR, 2020

VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users.
Proceedings of the Autonomous Vehicles and Machines 2020, 2020

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Memory Warps for Long-Term Online Video Representations and Anticipation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Zero-Shot Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DADA: Depth-Aware Domain Adaptation in Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning visual models for person detection and action prediction. (Apprentissage de modèles visuels pour la détection de personnes et la prédiction d'actions).
PhD thesis, 2018

Tube-CNN: Modeling temporal evolution of appearance for object detection in video.
CoRR, 2018

Memory Warps for Learning Long-Term Online Video Representations.
CoRR, 2018

2015
Context-Aware CNNs for Person Head Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Predicting Actions from Static Scenes.
Proceedings of the Computer Vision - ECCV 2014, 2014


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