Zhanyu Ma

Fine-Grained Instance-Level Sketch-Based Video Retrieval

Existing sketch-analysis work studies sketches depicting static objects ...
02/21/2020 ∙ by Peng Xu, et al. ∙ 23 ∙ share

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Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification

Classifying the sub-categories of an object from the same super-category...
02/09/2020 ∙ by Yifeng Ding, et al. ∙ 22 ∙ share

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The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

Key for solving fine-grained image categorization is finding discriminat...
02/11/2020 ∙ by Dongliang Chang, et al. ∙ 13 ∙ share

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Mobile big data analysis with machine learning

This paper investigates to identify the requirement and the development ...
08/02/2018 ∙ by Jiyang Xie, et al. ∙ 10 ∙ share

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On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models

Variational inference (VI) is a widely used framework in Bayesian estima...
02/13/2019 ∙ by Zhanyu Ma, et al. ∙ 10 ∙ share

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Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is a challenging task due to the lar...
11/10/2019 ∙ by Jianjun Lei, et al. ∙ 10 ∙ share

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Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches

Fine-grained visual classification (FGVC) is much more challenging than ...
03/08/2020 ∙ by Ruoyi Du, et al. ∙ 6 ∙ share

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Competing Ratio Loss for Discriminative Multi-class Image Classification

The development of deep convolutional neural network architecture is cri...
07/31/2019 ∙ by Ke Zhang, et al. ∙ 2 ∙ share

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Decorrelation of Neutral Vector Variables: Theory and Applications

In this paper, we propose novel strategies for neutral vector variable d...
05/30/2017 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval

Sketch-based image retrieval (SBIR) is challenging due to the inherent d...
05/28/2017 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

We propose a deep hashing framework for sketch retrieval that, for the f...
04/04/2018 ∙ by Peng Xu, et al. ∙ 0 ∙ share

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BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint

A Bayesian approach termed BAyesian Least Squares Optimization with Nonn...
07/08/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Infinite Mixture of Inverted Dirichlet Distributions

In this work, we develop a novel Bayesian estimation method for the Diri...
07/27/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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SEA: A Combined Model for Heat Demand Prediction

Heat demand prediction is a prominent research topic in the area of inte...
07/28/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Impacts of Weather Conditions on District Heat System

Using artificial neural network for the prediction of heat demand has at...
08/02/2018 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Deep Neural Network for Analysis of DNA Methylation Data

Many researches demonstrated that the DNA methylation, which occurs in t...
08/02/2018 ∙ by Hong Yu, et al. ∙ 0 ∙ share

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Classification of EEG Signal based on non-Gaussian Neutral Vector

In the design of brain-computer interface systems, classification of Ele...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency

In this paper, we continue our previous work on the Dirichlet mixture mo...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Statistical Speech Model Description with VMF Mixture Model

In this paper, we present the LSF parameters by a unit vector form, whic...
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Histogram Transform-based Speaker Identification

A novel text-independent speaker identification (SI) method is proposed....
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Language Identification with Deep Bottleneck Features

In this paper we proposed an end-to-end short utterances speech language...
09/18/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Vehicular Edge Computing via Deep Reinforcement Learning

The smart vehicles construct Vehicle of Internet which can execute vario...
12/27/2018 ∙ by Qi Qi, et al. ∙ 0 ∙ share

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Deep Zero-Shot Learning for Scene Sketch

We introduce a novel problem of scene sketch zero-shot learning (SSZSL),...
05/11/2019 ∙ by Yao Xie, et al. ∙ 0 ∙ share

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The Role of Data Analysis in the Development of Intelligent Energy Networks

Data analysis plays an important role in the development of intelligent ...
05/30/2017 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

Unsupervised domain adaptation aims to leverage labeled data from a sour...
03/08/2020 ∙ by Dongliang Chang, et al. ∙ 0 ∙ share

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Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building

Traditional video captioning requests a holistic description of the vide...
03/08/2020 ∙ by Fangyi Zhu, et al. ∙ 0 ∙ share

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Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization

In this paper, we propose a dual-attention guided dropblock module, and ...
03/09/2020 ∙ by Junhui Yin, et al. ∙ 0 ∙ share

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Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology

Channel attention mechanisms, as the key components of some modern convo...
03/10/2020 ∙ by Jiyang Xie, et al. ∙ 0 ∙ share

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Zhanyu Ma

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