b'Ming Liu'

research

∙ 08/06/2022

Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations

Having good knowledge of terrain information is essential for improving ...

Bowen Yang, et al. ∙

research

∙ 07/21/2022

A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration

Generative adversarial networks (GANs) have drawn enormous attention due...

Ming Liu, et al. ∙

research

∙ 07/12/2022

Learning Diverse Tone Styles for Image Retouching

Image retouching, aiming to regenerate the visually pleasing renditions ...

Haolin Wang, et al. ∙

research

∙ 07/04/2022

VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion

Knowledge Graph Completion has been widely studied recently to complete ...

Tao He, et al. ∙

research

∙ 07/04/2022

Open-world Semantic Segmentation for LIDAR Point Clouds

Current methods for LIDAR semantic segmentation are not robust enough fo...

Jun Cen, et al. ∙

research

∙ 07/03/2022

An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics

Long documents such as academic articles and business reports have been ...

Huan Yee Koh, et al. ∙

research

∙ 05/24/2022

Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin

As a national critical infrastructure, the smart grid has attracted wide...

Tianming Zheng, et al. ∙

research

∙ 04/13/2022

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

The same multi-word expressions may have different meanings in different...

Zheng Chu, et al. ∙

research

∙ 04/04/2022

Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective

Recently, multiple synthetic and real-world datasets have been built to ...

Ming Liu, et al. ∙

research

∙ 03/22/2022

Channel Self-Supervision for Online Knowledge Distillation

Recently, researchers have shown an increased interest in the online kno...

Shixiao Fan, et al. ∙

research

∙ 02/17/2022

Kirin: A Quadruped Robot with High Payload Carrying Capability

The quadruped robot is a versatile mobile platform with potential abilit...

Yueheng Zhou, et al. ∙

research

∙ 02/16/2022

RNGDet: Road Network Graph Detection by Transformer in Aerial Images

Road network graphs provide critical information for autonomous vehicle ...

Zhenhua Xu, et al. ∙

research

∙ 01/10/2022

Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition

Deep learning-based image retrieval techniques for the loop closure dete...

M Usman Maqbool Bhutta, et al. ∙

research

∙ 12/16/2021

Distilled Dual-Encoder Model for Vision-Language Understanding

We propose a cross-modal attention distillation framework to train a dua...

Zekun Wang, et al. ∙

research

∙ 12/02/2021

Open-set 3D Object Detection

3D object detection has been wildly studied in recent years, especially ...

Jun Cen, et al. ∙

research

∙ 12/02/2021

Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency

Image resolution that has close relations with accuracy and computationa...

Tianshu Xie, et al. ∙

research

∙ 11/11/2021

csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps

High-Definition (HD) maps can provide precise geometric and semantic inf...

Zhenhua Xu, et al. ∙

research

∙ 10/14/2021

Neural Attention-Aware Hierarchical Topic Model

Neural topic models (NTMs) apply deep neural networks to topic modelling...

Yuan Jin, et al. ∙

research

∙ 10/14/2021

Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence

This paper proposes a transformer over transformer framework, called Tra...

Chun Wai Lo, Kelvin, et al. ∙

research

∙ 10/04/2021

Leveraging Information Bottleneck for Scientific Document Summarization

This paper presents an unsupervised extractive approach to summarize sci...

Jiaxin Ju, et al. ∙

research

∙ 09/24/2021

SCADS: A Scalable Approach Using Spark in Cloud for Host-based Intrusion Detection System with System Calls

Following the current big data trend, the scale of real-time system call...

Ming Liu, et al. ∙

research

∙ 09/06/2021

Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms

Existing road pothole detection approaches can be classified as computer...

Rui Fan, et al. ∙

research

∙ 08/28/2021

Prototypes-Guided Memory Replay for Continual Learning

Continual learning (CL) refers to a machine learning paradigm that using...

Stella Ho, et al. ∙

research

∙ 08/20/2021

GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps

Providing timely accessibility reminders of a point-of-interest (POI) pl...

Yibo Sun, et al. ∙

research

∙ 08/18/2021

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision

Learning RAW-to-sRGB mapping has drawn increasing attention in recent ye...

Haolin Wang, et al. ∙

research

∙ 08/10/2021

Deep Metric Learning for Open World Semantic Segmentation

Classical close-set semantic segmentation networks have limited ability ...

Jun Cen, et al. ∙

research

∙ 08/06/2021

On Bundle Adjustment for Multiview PointCloud Registration

Multiview registration is used to estimate Rigid Body Transformations (R...

Huaiyang Huang, et al. ∙

research

∙ 08/04/2021

Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM

Traditional approaches for Visual Simultaneous Localization and Mapping ...

Huaiyang Huang, et al. ∙

research

∙ 07/27/2021

Federated Learning Meets Natural Language Processing: A Survey

Federated Learning aims to learn machine learning models from multiple d...

Ming Liu, et al. ∙

research

∙ 07/26/2021

CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images

Road curb detection is important for autonomous driving. It can be used ...

Zhenhua Xu, et al. ∙

research

∙ 07/18/2021

Feature Mining: A Novel Training Strategy for Convolutional Neural Network

In this paper, we propose a novel training strategy for convolutional ne...

Tianshu Xie, et al. ∙

research

∙ 07/17/2021

SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume

Convolutional neural network (CNN)-based stereo matching approaches gene...

Hengli Wang, et al. ∙

research

∙ 07/17/2021

Co-Teaching: An Ark to Unsupervised Stereo Matching

Stereo matching is a key component of autonomous driving perception. Rec...

Hengli Wang, et al. ∙

research

∙ 06/13/2021

A Fuzzy Post-project Evaluation Approach for Security Video Surveillance System

Video surveillance is an essential component of the public security syst...

Ming Liu, et al. ∙

research

∙ 06/12/2021

Go Small and Similar: A Simple Output Decay Brings Better Performance

Regularization and data augmentation methods have been widely used and b...

Xuan Cheng, et al. ∙

research

∙ 06/09/2021

Self-supervision of Feature Transformation for Further Improving Supervised Learning

Self-supervised learning, which benefits from automatically constructing...

Zilin Ding, et al. ∙

research

∙ 06/09/2021

Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning

Traditional self-supervised learning requires CNNs using external pretex...

Yuhang Yang, et al. ∙

research

∙ 06/08/2021

White Paper Assistance: A Step Forward Beyond the Shortcut Learning

The promising performances of CNNs often overshadow the need to examine ...

Xuan Cheng, et al. ∙

research

∙ 04/26/2021

DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension

Multiparty Dialogue Machine Reading Comprehension (MRC) differs from tra...

Jiaqi Li, et al. ∙

research

∙ 04/20/2021

Comparing Representations in Tracking for Event Camera-based SLAM

This paper investigates two typical image-type representations for event...

Jianhao Jiao, et al. ∙

research

∙ 04/08/2021

3D Surfel Map-Aided Visual Relocalization with Learned Descriptors

In this paper, we introduce a method for visual relocalization using the...

Haoyang Ye, et al. ∙

research

∙ 03/31/2021

Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving

Road-boundary detection is important for autonomous driving. For example...

Zhenhua Xu, et al. ∙

research

∙ 03/31/2021

iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving

Detection of road curbs is an essential capability for autonomous drivin...

Zhenhua Xu, et al. ∙

research

∙ 03/29/2021

FocusedDropout for Convolutional Neural Network

In convolutional neural network (CNN), dropout cannot work well because ...

Tianshu Xie, et al. ∙

research

∙ 03/29/2021

Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions

In this paper, we propose Selective Output Smoothing Regularization, a n...

Xuan Cheng, et al. ∙

research

∙ 03/24/2021

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large...

Jianhao Jiao, et al. ∙

research

∙ 03/18/2021

S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs

Path planning is a fundamental capability for autonomous navigation of r...

Hengli Wang, et al. ∙

research

∙ 03/17/2021

YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Object detection in 3D with stereo cameras is an important problem in co...

YuXuan Liu, et al. ∙

research

∙ 03/09/2021

Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

In this paper, we propose a new data augmentation strategy named Thumbna...

Tianshu Xie, et al. ∙

research

∙ 03/03/2021

Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms

Joint detection of drivable areas and road anomalies is very important f...

Hengli Wang, et al. ∙

Ming Liu

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