Di Qiu

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The Chinese University of Hong Kong

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

We investigate the generalization of semi-supervised learning (SSL) to d...
08/12/2020 ∙ by Zhanghan Ke, et al. ∙ 8 ∙ share

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Towards Geometry Guided Neural Relighting with Flash Photography

Previous image based relighting methods require capturing multiple image...
08/12/2020 ∙ by Di Qiu, et al. ∙ 1 ∙ share

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Gradient Regularized Contrastive Learning for Continual Domain Adaptation

Human beings can quickly adapt to environmental changes by leveraging le...
07/25/2020 ∙ by Peng Su, et al. ∙ 0 ∙ share

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Modal Uncertainty Estimation via Discrete Latent Representation

Many important problems in the real world don't have unique solutions. I...
07/25/2020 ∙ by Di Qiu, et al. ∙ 14 ∙ share

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Adapting Object Detectors with Conditional Domain Normalization

Real-world object detectors are often challenged by the domain gaps betw...
03/16/2020 ∙ by Peng Su, et al. ∙ 5 ∙ share

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Shape analysis via inconsistent surface registration

In this work, we develop a framework for shape analysis using inconsiste...
03/03/2020 ∙ by Gary P. T. Choi, et al. ∙ 0 ∙ share

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Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module

Recently, it is increasingly popular to equip mobile RGB cameras with Ti...
09/17/2019 ∙ by Di Qiu, et al. ∙ 7 ∙ share

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Inconsistent Surface Registration via Optimization of Mapping Distortions

We address the problem of registering two surfaces, of which a natural b...
08/24/2019 ∙ by Di Qiu, et al. ∙ 0 ∙ share

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Parametrizing Flat-Foldable Surfaces with Incomplete Data

We propose a novel way of computing surface folding maps via solving a l...
04/11/2018 ∙ by Di Qiu, et al. ∙ 0 ∙ share

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Di Qiu

Featured Co-authors

Xiaogang Wang

Kun Wang

Peng Gao

Lok Ming Lui

Wenxiu Sun

Dapeng Chen

Gary P. T. Choi

Qiong Yan

Rynson W. H. Lau

Jiahao Pang

Xingyu Zeng

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Towards Geometry Guided Neural Relighting with Flash Photography

Gradient Regularized Contrastive Learning for Continual Domain Adaptation

Modal Uncertainty Estimation via Discrete Latent Representation

Adapting Object Detectors with Conditional Domain Normalization

Shape analysis via inconsistent surface registration

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module

Inconsistent Surface Registration via Optimization of Mapping Distortions

Parametrizing Flat-Foldable Surfaces with Incomplete Data