b'Zhenhua Wang'

research

∙ 09/11/2023

Exploring the Law of Numbers: Evidence from China's Real Estate

The renowned proverb, Numbers do not lie, underscores the reliability an...

0 Fuqian Zhang, et al. ∙

research

∙ 09/01/2023

Exploring the law of text geographic information

Textual geographic information is indispensable and heavily relied upon ...

0 Zhenhua Wang, et al. ∙

research

∙ 09/01/2023

Will Sentiment Analysis Need Subculture? A New Data Augmentation Approach

The renowned proverb that "The pen is mightier than the sword" underscor...

0 Zhenhua Wang, et al. ∙

research

∙ 08/16/2023

Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models

Large language models (LLMs), such as ChatGPT, have emerged with astonis...

0 Zhenhua Wang, et al. ∙

research

∙ 07/02/2023

Human-to-Human Interaction Detection

A comprehensive understanding of interested human-to-human interactions ...

0 Zhenhua Wang, et al. ∙

research

∙ 12/04/2022

3D Object Aided Self-Supervised Monocular Depth Estimation

Monocular depth estimation has been actively studied in fields such as r...

0 Songlin Wei, et al. ∙

research

∙ 09/12/2022

Classification of hazard event via language fractal

HAZOP is a safety paradigm undertaken to reveal hazards in industry, its...

0 Zhenhua Wang, et al. ∙

research

∙ 09/10/2022

Yes, DLGM! A novel hierarchical model for hazard classification

Hazards can be exposed by HAZOP as text information, and studying their ...

0 Zhenhua Wang, et al. ∙

research

∙ 05/25/2022

Exploring industrial safety knowledge via Zipf law

The hazard and operability analysis (HAZOP) report contains precious ind...

0 Zhenhua Wang, et al. ∙

research

∙ 04/21/2022

CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation

LiDAR semantic segmentation essential for advanced autonomous driving is...

0 Xiaoyan Li, et al. ∙

research

∙ 02/23/2022

ISDA: Position-Aware Instance Segmentation with Deformable Attention

Most instance segmentation models are not end-to-end trainable due to ei...

0 Kaining Ying, et al. ∙

research

∙ 11/27/2021

AIS: A nonlinear activation function for industrial safety engineering

In the task of Chinese named entity recognition based on deep learning, ...

0 Zhenhua Wang, et al. ∙

research

∙ 11/27/2021

Why KDAC? A general activation function for knowledge discovery

Named entity recognition based on deep learning (DNER) can effectively m...

0 Zhenhua Wang, et al. ∙

research

∙ 11/27/2021

A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process

Hazard and operability analysis (HAZOP) is a remarkable representative i...

0 Zhenhua Wang, et al. ∙

research

∙ 03/14/2021

Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

Multiple imputation (MI) is the state-of-the-art approach for dealing wi...

0 Zhenhua Wang, et al. ∙

research

∙ 12/21/2020

Accurate Object Association and Pose Updating for Semantic SLAM

Nowadays in the field of semantic SLAM, how to correctly use semantic in...

0 Kaiqi Chen, et al. ∙

research

∙ 11/23/2020

Graph Attention Tracking

Siamese network based trackers formulate the visual tracking task as a s...

0 Dongyan Guo, et al. ∙

research

∙ 11/20/2020

LAGNet: Logic-Aware Graph Network for Human Interaction Understanding

Compared with the progress made on human activity classification, much l...

0 Zhenhua Wang, et al. ∙

research

∙ 11/17/2019

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

By decomposing the visual tracking task into two subproblems as classifi...

26 Dongyan Guo, et al. ∙

research

∙ 02/04/2019

End-to-end feature fusion siamese network for adaptive visual tracking

According to observations, different visual objects have different salie...

2 Dongyan Guo, et al. ∙

research

∙ 12/31/2018

DCI: Discriminative and Contrast Invertible Descriptor

Local feature descriptors have been widely used in fine-grained visual o...

10 Zhenwei Miao, et al. ∙

research

∙ 04/23/2018

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning

The process of aligning a pair of shapes is a fundamental operation in c...

0 Rana Hanocka, et al. ∙

research

∙ 11/22/2017

Neuron-level Selective Context Aggregation for Scene Segmentation

Contextual information provides important cues for disambiguating visual...

0 Zhenhua Wang, et al. ∙

research

∙ 08/03/2016

Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks

In this paper, we tackle the problem of RGB-D semantic segmentation of i...

0 Jinghua Wang, et al. ∙

research

∙ 04/12/2016

Recurrent Attentional Networks for Saliency Detection

Convolutional-deconvolution networks can be adopted to perform end-to-en...

1 Jason Kuen, et al. ∙

research

∙ 04/10/2016

Synthesizing Training Images for Boosting Human 3D Pose Estimation

Human 3D pose estimation from a single image is a challenging task with ...

0 Wenzheng Chen, et al. ∙

research

∙ 12/22/2015

Recent Advances in Convolutional Neural Networks

In the last few years, deep learning has led to very good performance on...

1 Jiuxiang Gu, et al. ∙

research

∙ 11/14/2015

Learning Fine-grained Features via a CNN Tree for Large-scale Classification

We propose a novel approach to enhance the discriminability of Convoluti...

0 Zhenhua Wang, et al. ∙

research

∙ 07/18/2014

Affine Subspace Representation for Feature Description

This paper proposes a novel Affine Subspace Representation (ASR) descrip...

0 Zhenhua Wang, et al. ∙

research

∙ 02/09/2014

A Hybrid Loss for Multiclass and Structured Prediction

We propose a novel hybrid loss for multiclass and structured prediction ...

0 Qinfeng Shi, et al. ∙

Zhenhua Wang

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