Shuangfei Zhai

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Binghamton University ∙ Apple Inc.

On the generalization of learning-based 3D reconstruction

State-of-the-art learning-based monocular 3D reconstruction methods lear...
06/27/2020 ∙ by Miguel Angel Bautista, et al. ∙ 0 ∙ share

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Set Distribution Networks: a Generative Model for Sets of Images

Images with shared characteristics naturally form sets. For example, in ...
06/18/2020 ∙ by Shuangfei Zhai, et al. ∙ 31 ∙ share

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Collegial Ensembles

Modern neural network performance typically improves as model size incre...
06/13/2020 ∙ by Etai Littwin, et al. ∙ 0 ∙ share

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Adversarial Fisher Vectors for Unsupervised Representation Learning

We examine Generative Adversarial Networks (GANs) through the lens of de...
10/29/2019 ∙ by Shuangfei Zhai, et al. ∙ 33 ∙ share

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Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking

Deep neural networks require collecting and annotating large amounts of ...
10/28/2019 ∙ by Alaaeldin El-Nouby, et al. ∙ 12 ∙ share

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Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

In most machine learning training paradigms a fixed, often handcrafted, ...
05/15/2019 ∙ by Chen Huang, et al. ∙ 5 ∙ share

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A Deep Learning Approach for Expert Identification in Question Answering Communities

In this paper, we describe an effective convolutional neural network fra...
11/14/2017 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

The rapid growth of Electronic Health Records (EHRs), as well as the acc...
09/06/2017 ∙ by Zhengping Che, et al. ∙ 0 ∙ share

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Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings

Structural correspondence learning (SCL) is an effective method for cros...
11/26/2016 ∙ by Nana Li, et al. ∙ 0 ∙ share

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Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

Multi-task learning aims to improve generalization performance of multip...
11/16/2016 ∙ by Yongxi Lu, et al. ∙ 0 ∙ share

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S3Pool: Pooling with Stochastic Spatial Sampling

Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
11/16/2016 ∙ by Shuangfei Zhai, et al. ∙ 0 ∙ share

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Deep Structured Energy Based Models for Anomaly Detection

In this paper, we attack the anomaly detection problem by directly model...
05/25/2016 ∙ by Shuangfei Zhai, et al. ∙ 0 ∙ share

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Shuangfei Zhai

Featured Co-authors

Yu Cheng

Yan Liu

Graham W Taylor

Rogerio Feris

Abhishek Kumar

Tara Javidi

Zhongfei Zhang

Carlos Guestrin

Chen Zheng

Chen Huang

Zhengping Che

On the generalization of learning-based 3D reconstruction

Set Distribution Networks: a Generative Model for Sets of Images

Collegial Ensembles

Adversarial Fisher Vectors for Unsupervised Representation Learning

Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

A Deep Learning Approach for Expert Identification in Question Answering Communities

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

S3Pool: Pooling with Stochastic Spatial Sampling

Deep Structured Energy Based Models for Anomaly Detection