b'Qing Liu'

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models

Part segmentations provide a rich and detailed part-level description of...
03/25/2021 ∙ by Qing Liu, et al. ∙ 10 ∙ share

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Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency

Weakly supervised instance segmentation reduces the cost of annotations ...
03/23/2021 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification

New categories can be discovered by transforming semantic features into ...
02/26/2021 ∙ by Cheng Xie, et al. ∙ 0 ∙ share

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Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization

Although zero-shot learning (ZSL) has an inferential capability of recog...
01/25/2021 ∙ by Cheng Xie, et al. ∙ 6 ∙ share

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A Deep Retinal Image Quality Assessment Network with Salient Structure Priors

Retinal image quality assessment is an essential prerequisite for diagno...
12/31/2020 ∙ by Ziwen Xu, et al. ∙ 14 ∙ share

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Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images

Automated segmentation of hard exudates in colour fundus images is a cha...
12/03/2020 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment

Retinal image quality assessment is an essential task in the diagnosis o...
10/26/2020 ∙ by Ziwen Xu, et al. ∙ 0 ∙ share

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MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Data management is becoming increasingly important in dealing with the l...
10/12/2020 ∙ by Xin Liang, et al. ∙ 0 ∙ share

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Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...
07/08/2020 ∙ by Jieyang Chen, et al. ∙ 0 ∙ share

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Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

Computer vision systems in real-world applications need to be robust to ...
06/28/2020 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

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Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Modeling the sequential correlation of users' historical interactions is...
04/25/2020 ∙ by Feng Liu, et al. ∙ 0 ∙ share

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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

Recent work has shown that deep convolutional neural networks (DCNNs) do...
03/10/2020 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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Qing Liu

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