Dayan Guan
16 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
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Keywords
semantic segmentation
(6)
domain adaptation
(5)
3d vision
(3)
unsupervised domain adaptation
(3)
point cloud
(3)
autonomous driving
(2)
contrastive learning
(2)
image segmentation
(2)
domain generalization
(2)
video segmentation
(2)
pseudo label
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domain-invariant feature
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image generation
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data augmentation
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semi-supervised learning
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instance segmentation
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temporal pseudo supervision
(1)
pseudo labeling
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test-time adaptation
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transfer learning
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Papers
Efficient Test-Time Adaptation of Vision-Language Models
CVPR 2024
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
ECCV 2024
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
CVPR 2023
Class-Independent Regularization for Learning with Noisy Labels
AAAI 2023
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
ECCV 2022
Masked Generative Adversarial Networks are Data-Efficient Generation Learners
NIPS 2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
NIPS 2022
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
CVPR 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
CVPR 2022
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
AAAI 2022
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
ICCV 2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
CVPR 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
CVPR 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
NIPS 2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
ICCV 2021
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
ECCV 2020