b'Li Sun'

research

∙ 07/25/2023

RecursiveDet: End-to-End Region-based Recursive Object Detection

End-to-end region-based object detectors like Sparse R-CNN usually have ...

0 Jing Zhao, et al. ∙

research

∙ 07/17/2023

NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM

Loop-closure detection, also known as place recognition, aiming to ident...

0 Lizhou Liao, et al. ∙

research

∙ 05/23/2023

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding

Current state-of-the-art models for natural language understanding requi...

0 Li Sun, et al. ∙

research

∙ 05/06/2023

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds

Sequential interaction networks (SIN) have been commonly adopted in many...

0 Junda Ye, et al. ∙

research

∙ 05/05/2023

Contrastive Graph Clustering in Curvature Spaces

Graph clustering is a longstanding research topic, and has achieved rema...

0 Li Sun, et al. ∙

research

∙ 03/11/2023

Approaching Shannon's One-Time Pad: Metrics, Architectures, and Enabling Technologies

The rapid development of advanced computing technologies such as quantum...

0 Li Sun, et al. ∙

research

∙ 01/28/2023

MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring

The widespread emergence of smart devices for ECG has sparked demand for...

0 Yuzhen Qin, et al. ∙

research

∙ 01/03/2023

Measuring tail risk at high-frequency: An L_1-regularized extreme value regression approach with unit-root predictors

We study tail risk dynamics in high-frequency financial markets and thei...

0 Julien Hambuckers, et al. ∙

research

∙ 12/30/2022

DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation

Automatic font generation without human experts is a practical and signi...

0 Xinyuan Chen, et al. ∙

research

∙ 12/24/2022

Towards Long-term Autonomy: A Perspective from Robot Learning

In the future, service robots are expected to be able to operate autonom...

0 Zhi Yan, et al. ∙

research

∙ 11/30/2022

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Continual graph learning routinely finds its role in a variety of real-w...

0 Li Sun, et al. ∙

research

∙ 11/25/2022

CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels

Pre-trained vision-language models like CLIP have recently shown superio...

1 Siyuan Li, et al. ∙

research

∙ 09/21/2022

IoU-Enhanced Attention for End-to-End Task Specific Object Detection

Without densely tiled anchor boxes or grid points in the image, sparse R...

1 Jing Zhao, et al. ∙

research

∙ 08/30/2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

Representation learning on temporal graphs has drawn considerable resear...

6 Li Sun, et al. ∙

research

∙ 08/01/2022

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

Controllable person image synthesis task enables a wide range of applica...

6 Xinyue Zhou, et al. ∙

research

∙ 07/27/2022

Federated Selective Aggregation for Knowledge Amalgamation

In this paper, we explore a new knowledge-amalgamation problem, termed F...

0 Donglin Xie, et al. ∙

research

∙ 03/16/2022

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

Unpaired image-to-image (I2I) translation often requires to maximize the...

0 Xueqi Hu, et al. ∙

research

∙ 03/15/2022

Style Transformer for Image Inversion and Editing

Existing GAN inversion methods fail to provide latent codes for reliable...

0 Xueqi Hu, et al. ∙

research

∙ 02/22/2022

3D ToF LiDAR in Mobile Robotics: A Review

In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobi...

0 Tao Yang, et al. ∙

research

∙ 12/10/2021

A Self-supervised Mixed-curvature Graph Neural Network

Graph representation learning received increasing attentions in recent y...

26 Li Sun, et al. ∙

research

∙ 12/07/2021

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training

Recently, vision Transformers (ViTs) are developing rapidly and starting...

0 Haofei Zhang, et al. ∙

research

∙ 10/11/2021

Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation

The image-to-image translation (I2IT) model takes a target label or a re...

0 Qiusheng Huang, et al. ∙

research

∙ 10/11/2021

LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation

Image-to-image (I2I) translation is usually carried out among discrete d...

0 Qiusheng Huang, et al. ∙

research

∙ 04/07/2021

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

Font generation is a challenging problem especially for some writing sys...

0 Yangchen Xie, et al. ∙

research

∙ 04/06/2021

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs

Learning representations for graphs plays a critical role in a wide spec...

12 Li Sun, et al. ∙

research

∙ 03/22/2021

Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery

End-to-end visuomotor control is emerging as a compelling solution for r...

5 Chia-Man Hung, et al. ∙

research

∙ 03/03/2021

ID-Unet: Iterative Soft and Hard Deformation for View Synthesis

View synthesis is usually done by an autoencoder, in which the encoder m...

0 Mingyu Yin, et al. ∙

research

∙ 02/02/2021

Adaptive Random Bandwidth for Inference in CAViaR Models

This paper investigates the size performance of Wald tests for CAViaR mo...

0 Alain Hecq, et al. ∙

research

∙ 11/03/2020

Content-based Analysis of the Cultural Differences between TikTok and Douyin

Short-form video social media shifts away from the traditional media par...

0 Li Sun, et al. ∙

research

∙ 08/19/2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Graph Neural Networks (GNNs) have been widely applied to fraud detection...

0 Yingtong Dou, et al. ∙

research

∙ 07/21/2020

Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder

Novel view synthesis often needs the paired data from both the source an...

0 Mingyu Yin, et al. ∙

research

∙ 07/17/2020

Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification

Data uncertainty in practical person reID is ubiquitous, hence it requir...

16 Yan Zhang, et al. ∙

research

∙ 07/17/2020

Grad-Cam Guided Progressive Feature CutMix for Classification

Image features from a small local region often give strong evidence in t...

29 Yan Zhang, et al. ∙

research

∙ 03/04/2020

Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments

This paper proposes a novel approach for global localisation of mobile r...

5 Li Sun, et al. ∙

research

∙ 01/15/2020

Graph-Bert: Only Attention is Needed for Learning Graph Representations

The dominant graph neural networks (GNNs) over-rely on the graph links, ...

54 Jiawei Zhang, et al. ∙

research

∙ 10/29/2019

Disentangling the Spatial Structure and Style in Conditional VAE

This paper aims to disentangle the latent space in cVAE into the spatial...

0 Ziye Zhang, et al. ∙

research

∙ 09/30/2019

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks

In this paper we investigate an artificial agent's ability to perform ta...

9 Yizhe Wu, et al. ∙

research

∙ 09/07/2019

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

The field of autonomous driving has grown tremendously over the past few...

0 Zhi Yan, et al. ∙

research

∙ 09/05/2019

EPANer Team Description Paper for World Robot Challenge 2020

This paper presents the research focus and ideas incorporated in the EPA...

0 Zhi Yan, et al. ∙

research

∙ 08/20/2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

A massive number of well-trained deep networks have been released by dev...

0 Chengchao Shen, et al. ∙

research

∙ 08/19/2019

LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation

Electrocardiography plays an essential role in diagnosing and screening ...

0 Zijian Ding, et al. ∙

research

∙ 07/12/2019

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning

The majority of contemporary object-tracking approaches used in autonomo...

1 Fabian B. Fuchs, et al. ∙

research

∙ 12/22/2018

Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

VAE requires the standard Gaussian distribution as a prior in the latent...

8 Zhilin Zheng, et al. ∙

research

∙ 11/07/2018

Amalgamating Knowledge towards Comprehensive Classification

With the rapid development of deep learning, there have been an unpreced...

0 Chengchao Shen, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

research

∙ 10/22/2018

Exploring Correlations in Multiple Facial Attributes through Graph Attention Network

Estimating multiple attributes from a single facial image gives comprehe...

0 Yan Zhang, et al. ∙

research

∙ 09/01/2018

A Graph Based Framework for Malicious Insider Threat Detection

While most security projects have focused on fending off attacks coming ...

0 Anagi Gamachchi, et al. ∙

research

∙ 07/02/2018

Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data

This paper presents a novel semantic mapping approach, Recurrent-OctoMap...

2 Li Sun, et al. ∙

research

∙ 03/06/2018

Learning monocular visual odometry with dense 3D mapping from dense 3D flow

This paper introduces a fully deep learning approach to monocular SLAM, ...

0 Cheng Zhao, et al. ∙

research

∙ 01/12/2018

Multisensor Online Transfer Learning for 3D LiDAR-based Human Detection with a Mobile Robot

Human detection and tracking is an essential task for service robots, wh...

0 Zhi Yan, et al. ∙

Li Sun

Featured Co-authors