Feng Gao

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Microsoft ∙ Tsinghua University ∙ Michigan State University

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes

Learning depth and ego-motion from unlabeled videos via self-supervision...
11/18/2020 ∙ by Feng Gao, et al. ∙ 0 ∙ share

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Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

In searching for a generalizable representation of temporally extended t...
11/12/2020 ∙ by Sirui Xie, et al. ∙ 0 ∙ share

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Conceptualized Representation Learning for Chinese Biomedical Text Mining

Biomedical text mining is becoming increasingly important as the number ...
08/25/2020 ∙ by Ningyu Zhang, et al. ∙ 0 ∙ share

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Deep learning for photoacoustic imaging: a survey

Machine learning has been developed dramatically and witnessed a lot of ...
08/10/2020 ∙ by Changchun Yang, et al. ∙ 44 ∙ share

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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Recent progress in deep learning is essentially based on a "big data for...
04/20/2020 ∙ by Yixin Zhu, et al. ∙ 10 ∙ share

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Short Text Classification via Knowledge powered Attention with Similarity Matrix based CNN

Short text is becoming more and more popular on the web, such as Chat Me...
02/09/2020 ∙ by Mingchen Li, et al. ∙ 0 ∙ share

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A Generative Adversarial Network for AI-Aided Chair Design

We present a method for improving human design of chairs. The goal of th...
01/31/2020 ∙ by Zhibo Liu, et al. ∙ 5 ∙ share

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Learning Perceptual Inference by Contrasting

"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless...
11/29/2019 ∙ by Chi Zhang, et al. ∙ 0 ∙ share

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Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms

The scattering transform is a multilayered wavelet-based deep learning a...
11/14/2019 ∙ by Michael Perlmutter, et al. ∙ 0 ∙ share

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Spatiotemporal Attention Networks for Wind Power Forecasting

Wind power is one of the most important renewable energy sources and acc...
09/14/2019 ∙ by Xingbo Fu, et al. ∙ 0 ∙ share

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Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds

The Euclidean scattering transform was introduced nearly a decade ago to...
05/24/2019 ∙ by Michael Perlmutter, et al. ∙ 0 ∙ share

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VRGym: A Virtual Testbed for Physical and Interactive AI

We propose VRGym, a virtual reality testbed for realistic human-robot in...
04/02/2019 ∙ by Xu Xie, et al. ∙ 0 ∙ share

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RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Dramatic progress has been witnessed in basic vision tasks involving low...
03/07/2019 ∙ by Chi Zhang, et al. ∙ 0 ∙ share

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Research on the Security of Blockchain Data: A Survey

With the more and more extensive application of blockchain, blockchain s...
12/05/2018 ∙ by Liehuang Zhu, et al. ∙ 0 ∙ share

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Graph Classification with Geometric Scattering

One of the most notable contributions of deep learning is the applicatio...
10/07/2018 ∙ by Feng Gao, et al. ∙ 0 ∙ share

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Improving Object Detection with Region Similarity Learning

Object detection aims to identify instances of semantic objects of a cer...
03/01/2017 ∙ by Feng Gao, et al. ∙ 0 ∙ share

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Incorporating Intra-Class Variance to Fine-Grained Visual Recognition

Fine-grained visual recognition aims to capture discriminative character...
03/01/2017 ∙ by Yan Bai, et al. ∙ 0 ∙ share

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Feng Gao

Featured Co-authors

Yu Wang

Song-Chun Zhu

Joshua B. Tenenbaum

Chi Zhang

Ying Nian Wu

Yizhou Wang

Fei Gao

Shiqi Wang

Tiejun Huang

Guy Wolf

Huazhong Yang

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

Conceptualized Representation Learning for Chinese Biomedical Text Mining

Deep learning for photoacoustic imaging: a survey

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Short Text Classification via Knowledge powered Attention with Similarity Matrix based CNN

A Generative Adversarial Network for AI-Aided Chair Design

Learning Perceptual Inference by Contrasting

Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms

Spatiotemporal Attention Networks for Wind Power Forecasting

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds

VRGym: A Virtual Testbed for Physical and Interactive AI

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Research on the Security of Blockchain Data: A Survey

Graph Classification with Geometric Scattering

Improving Object Detection with Region Similarity Learning

Incorporating Intra-Class Variance to Fine-Grained Visual Recognition