Ziwei Wang

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Tsinghua University ∙ Australian National University ∙ The University of Queensland

Event Camera Calibration of Per-pixel Biased Contrast Threshold

Event cameras output asynchronous events to represent intensity changes ...
12/17/2020 ∙ by Ziwei Wang, et al. ∙ 0 ∙ share

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An Asynchronous Kalman Filter for Hybrid Event Cameras

We present an Asynchronous Kalman Filter (AKF) to reconstruct High Dynam...
12/10/2020 ∙ by Ziwei Wang, et al. ∙ 0 ∙ share

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ORD: Object Relationship Discovery for Visual Dialogue Generation

With the rapid advancement of image captioning and visual question answe...
06/15/2020 ∙ by Ziwei Wang, et al. ∙ 0 ∙ share

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BiDet: An Efficient Binarized Object Detector

In this paper, we propose a binarized neural network learning method cal...
03/09/2020 ∙ by Ziwei Wang, et al. ∙ 0 ∙ share

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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Meta-learning for few-shot learning allows a machine to leverage previou...
11/12/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval

With the increasing number of online stores, there is a pressing need fo...
04/05/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration

Previous works utilized "smaller-norm-less-important" criterion to prune...
11/01/2018 ∙ by Yang He, et al. ∙ 0 ∙ share

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Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning

Rich high-quality annotated data is critical for semantic segmentation l...
08/22/2018 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Ziwei Wang

Featured Co-authors

Yi Yang

Yang Yang

Jie Zhou

Zheng Zhang

Jiwen Lu

Zi Huang

Ping Liu

Mahsa Baktashmotlagh

Yang He

Robert Mahony

Yadan Luo

Event Camera Calibration of Per-pixel Biased Contrast Threshold

An Asynchronous Kalman Filter for Hybrid Event Cameras

ORD: Object Relationship Discovery for Visual Dialogue Generation

BiDet: An Efficient Binarized Object Detector

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval

Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning