Qianyu Zhou

Assistant Professor

The Univeristy of Tokyo

Japan

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About

Qianyu Zhou is an Assistant Professor at The University of Tokyo, Japan. His research areas include domain generalization, point cloud completion, and video object detection, as evidenced by his recent publications. Dr. Zhou's work encompasses innovative methods in machine learning and semantic segmentation, contributing to advancements in both theoretical and practical applications in these fields.

Articles (9)

Year:

2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

Year:

2022

Collaborators (1)

Xuequan Lu

La Trobe University

AUSTRALIA

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Qianyu Zhou

Research Interests

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Articles (9)

CloudMix: Dual Mixup Consistency for Unpaired Point Cloud Completion

Astronomical forcing in Eocene coal‐bearing series: A case study from the Pinghu Formation in Xihu Sag, East China Sea Shelf Basin

Diverse Target and Contribution Scheduling for Domain Generalization

Rethinking Domain Generalization: Discriminability and Generalizability

Context-Aware Mixup for Domain Adaptive Semantic Segmentation

Self-Adversarial Disentangling for Specific Domain Adaptation

TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers

DMT: Dynamic mutual training for semi-supervised learning

Uncertainty-aware consistency regularization for cross-domain semantic segmentation

Collaborators (1)

Xuequan Lu

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