b'Kaizhu Huang'

research

∙ 04/20/2023

Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training

In the stock market, a successful investment requires a good balance bet...

0 Jiezhu Cheng, et al. ∙

research

∙ 12/07/2022

Deep Learning for Brain Age Estimation: A Systematic Review

Over the years, Machine Learning models have been successfully employed ...

0 M. Tanveer, et al. ∙

research

∙ 11/27/2022

Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

Single-source domain generalization (SDG) in medical image segmentation ...

0 Zixian Su, et al. ∙

research

∙ 10/27/2022

Towards Better Text-Image Consistency in Text-to-Image Generation

Generating consistent and high-quality images from given texts is essent...

0 Zhaorui Tan, et al. ∙

research

∙ 10/13/2022

Rebalanced Zero-shot Learning

Zero-shot learning (ZSL) aims to identify unseen classes with zero sampl...

0 Zihan Ye, et al. ∙

research

∙ 07/22/2022

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

Instance segmentation on point clouds is crucially important for 3D scen...

0 Weiguang Zhao, et al. ∙

research

∙ 05/24/2022

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation

Unsupervised cross-modality medical image adaptation aims to alleviate t...

0 Zixian Su, et al. ∙

research

∙ 04/08/2022

From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

We consider the problem of Multi-view 3D Face Reconstruction (MVR) with ...

0 Weiguang Zhao, et al. ∙

research

∙ 03/26/2022

A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies

In the last a few decades, deep neural networks have achieved remarkable...

0 Zhuang Qian, et al. ∙

research

∙ 02/18/2022

Towards Simple and Accurate Human Pose Estimation with Stair Network

In this paper, we focus on tackling the precise keypoint coordinates reg...

7 Chenru Jiang, et al. ∙

research

∙ 11/01/2021

PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild

Automatic nuclei segmentation and classification plays a vital role in d...

14 Kai Yao, et al. ∙

research

∙ 10/21/2021

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing

Sentence-based Image Editing (SIE) aims to deploy natural language to ed...

0 Liuqing Zhao, et al. ∙

research

∙ 07/23/2021

AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training

We consider unsupervised cell nuclei segmentation in this paper. Exploit...

0 Kai Yao, et al. ∙

research

∙ 06/16/2021

Structure First Detail Next: Image Inpainting with Pyramid Generator

Recent deep generative models have achieved promising performance in ima...

0 Shuyi Qu, et al. ∙

research

∙ 06/16/2021

Disentangling Semantic-to-visual Confusion for Zero-shot Learning

Using generative models to synthesize visual features from semantic dist...

0 Zihan Ye, et al. ∙

research

∙ 06/13/2021

Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network

This paper proposes a novel nonlinear activation mechanism typically for...

0 Zhicheng Cai, et al. ∙

research

∙ 04/28/2021

FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizer by Strong Convexity

The AdaBelief algorithm demonstrates superior generalization ability to ...

0 Yangfan Zhou, et al. ∙

research

∙ 03/10/2021

Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems

In this work, we generalize the reaction-diffusion equation in statistic...

420 Ping Guo, et al. ∙

research

∙ 04/28/2020

Robust Generative Adversarial Network

Generative adversarial networks (GANs) are powerful generative models, b...

0 Shufei Zhang, et al. ∙

research

∙ 12/28/2019

Hybrid Channel Based Pedestrian Detection

Pedestrian detection has achieved great improvements with the help of Co...

4 Fiseha B. Tesema, et al. ∙

research

∙ 12/11/2019

Towards Better Forecasting by Fusing Near and Distant Future Visions

Multivariate time series forecasting is an important yet challenging pro...

0 Jiezhu Cheng, et al. ∙

research

∙ 11/20/2019

Deep Minimax Probability Machine

Deep neural networks enjoy a powerful representation and have proven eff...

13 Lirong He, et al. ∙

research

∙ 11/19/2019

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...

27 Bingfeng Zhang, et al. ∙

research

∙ 11/15/2019

On Model Robustness Against Adversarial Examples

We study the model robustness against adversarial examples, referred to ...

13 Shufei Zhang, et al. ∙

research

∙ 08/27/2019

Segmentation Mask Guided End-to-End Person Search

Person search aims to search for a target person among multiple images r...

7 Dingyuan Zheng, et al. ∙

research

∙ 01/18/2019

Generative Adversarial Classifier for Handwriting Characters Super-Resolution

Generative Adversarial Networks (GAN) receive great attentions recently ...

8 Zhuang Qian, et al. ∙

research

∙ 11/08/2018

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

Correlation filter has been proven to be an effective tool for a number ...

28 Yanchun Xie, et al. ∙

research

∙ 07/16/2018

Manifold Adversarial Learning

The recently proposed adversarial training methods show the robustness t...

8 Shufei Zhang, et al. ∙

research

∙ 12/06/2017

A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting

One of the key technologies for future large-scale location-aware servic...

0 Kyeong Soo Kim, et al. ∙

research

∙ 10/27/2017

Stochastic Conjugate Gradient Algorithm with Variance Reduction

Conjugate gradient methods are a class of important methods for solving ...

0 Xiao-Bo Jin, et al. ∙

research

∙ 05/16/2017

IAN: The Individual Aggregation Network for Person Search

Person search in real-world scenarios is a new challenging computer vers...

0 Jimin Xiao, et al. ∙

research

∙ 11/19/2015

A Unified Gradient Regularization Family for Adversarial Examples

Adversarial examples are augmented data points generated by imperceptibl...

0 Chunchuan Lyu, et al. ∙

research

∙ 01/11/2013

Robust Text Detection in Natural Scene Images

Text detection in natural scene images is an important prerequisite for ...

0 Xu-Cheng Yin, et al. ∙

research

∙ 07/03/2012

A Fast Projected Fixed-Point Algorithm for Large Graph Matching

We propose a fast approximate algorithm for large graph matching. A new ...

0 Yao Lu, et al. ∙

research

∙ 03/15/2012

Robust Metric Learning by Smooth Optimization

Most existing distance metric learning methods assume perfect side infor...

0 Kaizhu Huang, et al. ∙

Kaizhu Huang

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