b'Yu Liu'

research

∙ 08/08/2022

Rethinking Robust Representation Learning Under Fine-grained Noisy Faces

Learning robust feature representation from large-scale noisy faces stan...

Bingqi Ma, et al. ∙

research

∙ 07/28/2022

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Large-scale deployment of autonomous vehicles has been continually delay...

Hao Shao, et al. ∙

research

∙ 07/06/2022

MetroGAN: Simulating Urban Morphology with Generative Adversarial Network

Simulating urban morphology with location attributes is a challenging ta...

Weiyu Zhang, et al. ∙

research

∙ 06/27/2022

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy

Light-sheet fluorescence microscopy (LSFM) is a cutting-edge volumetric ...

Yu Liu, et al. ∙

research

∙ 06/19/2022

A generalized regionalization framework for geographical modelling and its application in spatial regression

In presence of spatial heterogeneity, models applied to geographic data ...

Hao Guo, et al. ∙

research

∙ 06/15/2022

Nebula Graph: An open source distributed graph database

This paper introduces the recent work of Nebula Graph, an open-source, d...

Min Wu, et al. ∙

research

∙ 05/28/2022

Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior

Facial semantic guidance (facial landmarks, facial parsing maps, facial ...

Kai Hu, et al. ∙

research

∙ 05/20/2022

Deep Learning-based Inertial Odometry for Pedestrian Tracking using Attention Mechanism and Res2Net Module

Pedestrian dead reckoning is a challenging task due to the low-cost iner...

Boxuan Chen, et al. ∙

research

∙ 05/17/2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images

Ultrasonography is an important routine examination for breast cancer di...

Yuhao Mo, et al. ∙

research

∙ 05/09/2022

A Novel Generative Convolutional Neural Network for Robot Grasp Detection on Gaussian Guidance

The vision-based grasp detection method is an important research directi...

Yuanhao Li, et al. ∙

research

∙ 05/04/2022

A deep domain decomposition method based on Fourier features

In this paper we present a Fourier feature based deep domain decompositi...

Sen Li, et al. ∙

research

∙ 04/30/2022

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

One essential task for autonomous driving is to encode the information o...

Xiaosong Jia, et al. ∙

research

∙ 03/23/2022

Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach

Recommender systems have been successfully used in many domains with the...

Xiao Liu, et al. ∙

research

∙ 03/11/2022

Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI

Purpose: To introduce a dual-domain reconstruction network with V-Net an...

Xiaohan Liu, et al. ∙

research

∙ 01/24/2022

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

It is a challenging task to learn discriminative representation from ima...

Kunchang Li, et al. ∙

research

∙ 01/12/2022

Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning

It is a challenging task to learn rich and multi-scale spatiotemporal se...

Kunchang Li, et al. ∙

research

∙ 01/03/2022

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings

Knowledge graph embedding (KGE) has drawn great attention due to its pot...

Kai Wang, et al. ∙

research

∙ 12/22/2021

Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition

Visual place recognition (VPR) is a challenging task with the unbalance ...

Qingyuan Gong, et al. ∙

research

∙ 12/04/2021

Overcome Anterograde Forgetting with Cycled Memory Networks

Learning from a sequence of tasks for a lifetime is essential for an age...

Jian Peng, et al. ∙

research

∙ 11/24/2021

Self-slimmed Vision Transformer

Vision transformers (ViTs) have become the popular structures and outper...

Zhuofan Zong, et al. ∙

research

∙ 11/24/2021

Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing

Deep learning based virtual try-on system has achieved some encouraging ...

Yu Liu, et al. ∙

research

∙ 11/23/2021

Bayesian Sample Size Prediction for Online Activity

In many contexts it is useful to predict the number of individuals in so...

Thomas Richardson, et al. ∙

research

∙ 11/23/2021

Reviewing continual learning from the perspective of human-level intelligence

Humans' continual learning (CL) ability is closely related to Stability ...

Yifan Chang, et al. ∙

research

∙ 11/21/2021

Learning by Active Forgetting for Neural Networks

Remembering and forgetting mechanisms are two sides of the same coin in ...

Jian Peng, et al. ∙

research

∙ 11/01/2021

Knowledge-driven Site Selection via Urban Knowledge Graph

Site selection determines optimal locations for new stores, which is of ...

Yu Liu, et al. ∙

research

∙ 11/01/2021

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

With the rapid development of the mobile communication technology, mobil...

Huandong Wang, et al. ∙

research

∙ 10/13/2021

RelationRS: Relationship Representation Network for Object Detection in Aerial Images

Object detection is a basic and important task in the field of aerial im...

Zhiming Liu, et al. ∙

research

∙ 09/24/2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework

The framework of deep reinforcement learning (DRL) provides a powerful a...

Chen gong, et al. ∙

research

∙ 09/22/2021

LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders

Variational autoencoders (VAEs), as an important aspect of generative mo...

Xiaoyu Chen, et al. ∙

research

∙ 09/22/2021

MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning

Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...

Qiang He, et al. ∙

research

∙ 08/15/2021

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19

Parking demand forecasting and behaviour analysis have received increasi...

Shuhui Gong, et al. ∙

research

∙ 08/10/2021

Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization

Iterative self-consistent parallel imaging reconstruction (SPIRiT) is an...

Ting Pan, et al. ∙

research

∙ 08/09/2021

Unified Regularity Measures for Sample-wise Learning and Generalization

Fundamental machine learning theory shows that different samples contrib...

Chi Zhang, et al. ∙

research

∙ 07/27/2021

Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle

The combination of a small unmanned ground vehicle (UGV) and a large unm...

Jie Li, et al. ∙

research

∙ 07/07/2021

Ergodic Numerical Approximation to Periodic Measures of Stochastic Differential Equations

In this paper, we consider numerical approximation to periodic measure o...

Chunrong Feng, et al. ∙

research

∙ 06/30/2021

Curvature Graph Neural Network

Graph neural networks (GNNs) have achieved great success in many graph-b...

Haifeng Li, et al. ∙

research

∙ 04/25/2021

A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation

In addition to the high cost and complex setup, the main reason for the ...

Sunjing Lin, et al. ∙

research

∙ 04/20/2021

Role-Aware Modeling for N-ary Relational Knowledge Bases

N-ary relational knowledge bases (KBs) represent knowledge with binary a...

Yu Liu, et al. ∙

research

∙ 04/11/2021

Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval

Accurately matching visual and textual data in cross-modal retrieval has...

Wei Chen, et al. ∙

research

∙ 03/27/2021

High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings

Recent knowledge graph embedding (KGE) models based on hyperbolic geomet...

Kai Wang, et al. ∙

research

∙ 03/23/2021

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation

Person ReID methods always learn through a stationary domain that is fix...

Nan Pu, et al. ∙

research

∙ 02/26/2021

ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation

Interpreting human actions requires understanding the spatial and tempor...

Yu Liu, et al. ∙

research

∙ 01/27/2021

Deep Image Retrieval: A Survey

In recent years a vast amount of visual content has been generated and s...

Wei Chen, et al. ∙

research

∙ 10/15/2020

On the Exploration of Incremental Learning for Fine-grained Image Retrieval

In this paper, we consider the problem of fine-grained image retrieval i...

Wei Chen, et al. ∙

research

∙ 10/14/2020

Multi-teacher Knowledge Distillation for Knowledge Graph Completion

Link prediction based on knowledge graph embedding (KGE) aims to predict...

Kai Wang, et al. ∙

research

∙ 10/13/2020

Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms

Misinformation/disinformation about COVID-19 has been rampant on social ...

Golshan Madraki, et al. ∙

research

∙ 09/18/2020

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region ...

Thierry Deruyttere, et al. ∙

research

∙ 09/17/2020

Image Retrieval for Structure-from-Motion via Graph Convolutional Network

Conventional image retrieval techniques for Structure-from-Motion (SfM) ...

Shen Yan, et al. ∙

research

∙ 08/25/2020

Discriminability Distillation in Group Representation Learning

Learning group representation is a commonly concerned issue in tasks whe...

Manyuan Zhang, et al. ∙

research

∙ 08/06/2020

Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging and...

Nan Pu, et al. ∙

Yu Liu

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