b'Jun He'

research

∙ 09/15/2023

STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation

Scene Graph Generation is a critical enabler of environmental comprehens...

0 Xukun Zhou, et al. ∙

research

∙ 09/02/2023

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms

The fitness level method is a popular tool for analyzing the computation...

0 Jun He, et al. ∙

research

∙ 03/25/2023

Backdoor Attacks with Input-unique Triggers in NLP

Backdoor attack aims at inducing neural models to make incorrect predict...

0 Xukun Zhou, et al. ∙

research

∙ 03/14/2023

Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images

Computer graphics images (CGIs) are artificially generated by means of c...

0 Zicheng Zhang, et al. ∙

research

∙ 12/22/2022

SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation

Recently, over-height vehicle strike frequently occurs, causing great ec...

0 Zhaoxin Fan, et al. ∙

research

∙ 11/30/2022

FuRPE: Learning Full-body Reconstruction from Part Experts

Full-body reconstruction is a fundamental but challenging task. Owing to...

0 Zhaoxin Fan, et al. ∙

research

∙ 09/23/2022

GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition

Large-scale place recognition is a fundamental but challenging task, whi...

0 Zhaoxin Fan, et al. ∙

research

∙ 09/17/2022

Human Pose Driven Object Effects Recommendation

In this paper, we research the new topic of object effects recommendatio...

0 Zhaoxin Fan, et al. ∙

research

∙ 09/01/2022

MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

The visual quality of point clouds has been greatly emphasized since the...

0 Zicheng Zhang, et al. ∙

research

∙ 07/12/2022

Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers

In theory, the success of unsupervised domain adaptation (UDA) largely r...

0 Ziyang Zong, et al. ∙

research

∙ 06/09/2022

Deep Neural Network for Blind Visual Quality Assessment of 4K Content

The 4K content can deliver a more immersive visual experience to consume...

0 Wei Lu, et al. ∙

research

∙ 04/20/2022

Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion

Point clouds scanned by real-world sensors are always incomplete, irregu...

0 Zhaoxin Fan, et al. ∙

research

∙ 04/04/2022

Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image

Recently, RGBD-based category-level 6D object pose estimation has achiev...

0 Zhaoxin Fan, et al. ∙

research

∙ 12/16/2021

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

Graph neural networks (GNNs) have extended the success of deep neural ne...

0 Tianfeng Liu, et al. ∙

research

∙ 11/20/2021

ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation

Recently, category-level 6D object pose estimation has achieved signific...

5 Zhaoxin Fan, et al. ∙

research

∙ 09/29/2021

Influence of the Binomial Crossover on Performance of Evolutionary Algorithms

In differential Evolution (DE) algorithms, a crossover operation filteri...

0 Cong Wang, et al. ∙

research

∙ 09/14/2021

An MRC Framework for Semantic Role Labeling

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...

0 Nan Wang, et al. ∙

research

∙ 08/29/2021

Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition

Autonomous Driving and Simultaneous Localization and Mapping(SLAM) are b...

0 Zhaoxin Fan, et al. ∙

research

∙ 06/16/2021

Improving Entity Linking through Semantic Reinforced Entity Embeddings

Entity embeddings, which represent different aspects of each entity with...

0 Feng Hou, et al. ∙

research

∙ 05/29/2021

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview

Object pose detection and tracking has recently attracted increasing att...

0 Zhaoxin Fan, et al. ∙

research

∙ 05/01/2021

SVT-Net: A Super Light-Weight Network for Large Scale Place Recognition using Sparse Voxel Transformers

Point cloud-based large scale place recognition is fundamental for many ...

0 Zhaoxin Fan, et al. ∙

research

∙ 03/30/2021

Revisiting Deep Local Descriptor for Improved Few-Shot Classification

Few-shot classification studies the problem of quickly adapting a deep l...

0 Jun He, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

research

∙ 06/25/2020

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors

Human activity recognition (HAR) in ubiquitous computing has been beginn...

18 Wenbin Gao, et al. ∙

research

∙ 06/05/2020

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

Recently, deep learning has represented an important research trend in h...

12 Xin Cheng, et al. ∙

research

∙ 05/09/2020

Memory-Augmented Relation Network for Few-Shot Learning

Metric-based few-shot learning methods concentrate on learning transfera...

0 Jun He, et al. ∙

research

∙ 05/08/2020

Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors

Recently, human activity recognition (HAR) has been beginning to adopt d...

0 Yin Tang, et al. ∙

research

∙ 04/17/2020

Incorporating Multiple Cluster Centers for Multi-Label Learning

Multi-label learning deals with the problem that each instance is associ...

6 Senlin Shu, et al. ∙

research

∙ 04/13/2020

Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network

With the popularity and development of the wearable devices such as smar...

4 Kun Wang, et al. ∙

research

∙ 01/29/2020

Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study

Known as two cornerstones of problem solving by search, exploitation and...

11 Yu Chen, et al. ∙

research

∙ 11/11/2019

Conditionally Learn to Pay Attention for Sequential Visual Task

Sequential visual task usually requires to pay attention to its current ...

58 Jun He, et al. ∙

research

∙ 09/07/2019

Unlimited Budget Analysis of Randomised Search Heuristics

Performance analysis of all kinds of randomised search heuristics is a r...

0 Jun He, et al. ∙

research

∙ 09/03/2019

Estimating Approximation Errors of Elitist Evolutionary Algorithms

When EAs are unlikely to locate precise global optimal solutions with sa...

0 Cong Wang, et al. ∙

research

∙ 03/24/2019

Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors

Unlike images or videos data which can be easily labeled by human being,...

0 Kun Wang, et al. ∙

research

∙ 10/27/2018

Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimization

A good convergence metric must satisfy two requirements: feasible in cal...

0 Yu Chen, et al. ∙

research

∙ 10/26/2018

A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms

In the empirical study of evolutionary algorithms, the solution quality ...

0 Jun He, et al. ∙

research

∙ 10/11/2018

A Blended Deep Learning Approach for Predicting User Intended Actions

User intended actions are widely seen in many areas. Forecasting these a...

0 Fei Tan, et al. ∙

research

∙ 05/01/2018

Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization

Multiobjective optimization evolutionary algorithms have been successful...

0 Wei Huang, et al. ∙

research

∙ 04/30/2018

New Methods of Studying Valley Fitness Landscapes

The word "valley" is a popular term used in intuitively describing fitne...

0 Jun He, et al. ∙

research

∙ 11/11/2015

An Analytic Expression of Relative Approximation Error for a Class of Evolutionary Algorithms

An important question in evolutionary computation is how good solutions ...

0 Jun He, et al. ∙

research

∙ 09/30/2015

Multi-objective Differential Evolution with Helper Functions for Constrained Optimization

Solving constrained optimization problems by multi-objective evolutionar...

0 Tao Xu, et al. ∙

research

∙ 04/30/2015

Average Convergence Rate of Evolutionary Algorithms

In evolutionary optimization, it is important to understand how fast evo...

0 Jun He, et al. ∙

research

∙ 02/12/2015

Analysis of Solution Quality of a Multiobjective Optimization-based Evolutionary Algorithm for Knapsack Problem

Multi-objective optimisation is regarded as one of the most promising wa...

0 Jun He, et al. ∙

research

∙ 12/12/2014

Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering

In this paper, we present GASG21 (Grassmannian Adaptive Stochastic Gradi...

0 Jun He, et al. ∙

research

∙ 09/03/2014

Performance Analysis on Evolutionary Algorithms for the Minimum Label Spanning Tree Problem

Some experimental investigations have shown that evolutionary algorithms...

0 Xinsheng Lai, et al. ∙

research

∙ 04/14/2014

A Theoretical Assessment of Solution Quality in Evolutionary Algorithms for the Knapsack Problem

Evolutionary algorithms are well suited for solving the knapsack problem...

0 Jun He, et al. ∙

research

∙ 04/03/2014

A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem

The 0-1 knapsack problem is a well-known combinatorial optimisation prob...

0 Jun He, et al. ∙

research

∙ 12/09/2013

A Unified Markov Chain Approach to Analysing Randomised Search Heuristics

The convergence, convergence rate and expected hitting time play fundame...

0 Jun He, et al. ∙

research

∙ 08/14/2013

Average Drift Analysis and Population Scalability

This paper aims to study how the population size affects the computation...

0 Jun He, et al. ∙

research

∙ 06/03/2013

Iterative Grassmannian Optimization for Robust Image Alignment

Robust high-dimensional data processing has witnessed an exciting develo...

0 Jun He, et al. ∙

Jun He

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