Qing Liu

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National University of Singapore ∙ Johns Hopkins University

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Incremental Learning for Metric-Based Meta-Learners

Majority of the modern meta-learning methods for few-shot classification...
02/11/2020 ∙ by Qing Liu, et al. ∙ 17 ∙ share

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Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

Detecting semantic parts of an object is a challenging task in computer ...
11/28/2018 ∙ by Yutong Bai, et al. ∙ 12 ∙ share

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Unleashing the Potential of CNNs for Interpretable Few-Shot Learning

Convolutional neural networks (CNNs) have been generally acknowledged as...
11/22/2017 ∙ by Boyang Deng, et al. ∙ 0 ∙ share

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Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean

Median absolute deviation (hereafter MAD) is known as a robust alternati...
02/28/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Limit theory for an AR(1) model with intercept and a possible infinite variance

In this paper, we derive the limit distribution of the least squares est...
02/28/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Conversational AI: The Science Behind the Alexa Prize

Conversational agents are exploding in popularity. However, much work re...
01/11/2018 ∙ by Ashwin Ram, et al. ∙ 0 ∙ share

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Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel

In the present paper, we consider the estimation of a periodic two-dimen...
11/22/2018 ∙ by Rida Benhaddou, et al. ∙ 0 ∙ share

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Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Building open domain conversational systems that allow users to have eng...
12/27/2018 ∙ by Chandra Khatri, et al. ∙ 0 ∙ share

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Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet

We look into the minimax results for the anisotropic two-dimensional fun...
12/18/2018 ∙ by Rida Benhaddou, et al. ∙ 0 ∙ share

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Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is widely recognized as an important...
04/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation

Existing joint optic disc and cup segmentation approaches are developed ...
04/18/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets

In a crowdsourcing market, a requester is looking to form a team of work...
12/12/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Compositional Convolutional Networks For Robust Object Classification under Occlusion

Deep convolutional neural networks (DCNNs) are powerful models that yiel...
05/28/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions

An individualized risk prediction model that dynamically updates the pro...
04/18/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Dual-attention Focused Module for Weakly Supervised Object Localization

The research on recognizing the most discriminative regions provides ref...
09/11/2019 ∙ by Yukun Zhou, et al. ∙ 0 ∙ share

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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
11/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Localizing Occluders with Compositional Convolutional Networks

Compositional convolutional networks are generative compositional models...
11/18/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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Adversarial Attack on DL-based Massive MIMO CSI Feedback

With the increasing application of deep learning (DL) algorithms in wire...
02/23/2020 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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