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...
share
research
∙
09/01/2023
Exploring the law of text geographic information
Textual geographic information is indispensable and heavily relied upon ...
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...
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...
research
∙
07/02/2023
Human-to-Human Interaction Detection
A comprehensive understanding of interested human-to-human interactions ...
research
∙
12/04/2022
3D Object Aided Self-Supervised Monocular Depth Estimation
Monocular depth estimation has been actively studied in fields such as r...
research
∙
09/12/2022
Classification of hazard event via language fractal
HAZOP is a safety paradigm undertaken to reveal hazards in industry, its...
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 ...
research
∙
05/25/2022
Exploring industrial safety knowledge via Zipf law
The hazard and operability analysis (HAZOP) report contains precious ind...
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...
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...
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, ...
research
∙
11/27/2021
Why KDAC? A general activation function for knowledge discovery
Named entity recognition based on deep learning (DNER) can effectively m...
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...
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...
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...
research
∙
11/23/2020
Graph Attention Tracking
Siamese network based trackers formulate the visual tracking task as a s...
research
∙
11/20/2020
LAGNet: Logic-Aware Graph Network for Human Interaction Understanding
Compared with the progress made on human activity classification, much l...
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...
research
∙
02/04/2019
End-to-end feature fusion siamese network for adaptive visual tracking
According to observations, different visual objects have different salie...
research
∙
12/31/2018
DCI: Discriminative and Contrast Invertible Descriptor
Local feature descriptors have been widely used in fine-grained visual o...
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...
research
∙
11/22/2017
Neuron-level Selective Context Aggregation for Scene Segmentation
Contextual information provides important cues for disambiguating visual...
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...
research
∙
04/12/2016
Recurrent Attentional Networks for Saliency Detection
Convolutional-deconvolution networks can be adopted to perform end-to-en...
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 ...
research
∙
12/22/2015
Recent Advances in Convolutional Neural Networks
In the last few years, deep learning has led to very good performance on...
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...
research
∙
07/18/2014
Affine Subspace Representation for Feature Description
This paper proposes a novel Affine Subspace Representation (ASR) descrip...
research
∙
02/09/2014
