b'Siheng Chen'

research

∙ 04/24/2023

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving

Cooperative perception enabled by V2X Communication technologies can sig...

0 Shunli Ren, et al. ∙

research

∙ 03/23/2023

Collaboration Helps Camera Overtake LiDAR in 3D Detection

Camera-only 3D detection provides an economical solution with a simple c...

7 Yue Hu, et al. ∙

research

∙ 03/20/2023

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

To model the indeterminacy of human behaviors, stochastic trajectory pre...

0 Weibo Mao, et al. ∙

research

∙ 03/20/2023

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

Learning to predict agent motions with relationship reasoning is importa...

0 Chenxin Xu, et al. ∙

research

∙ 03/17/2023

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

Vision-centric joint perception and prediction (PnP) has become an emerg...

0 Shaoheng Fang, et al. ∙

research

∙ 03/16/2023

Among Us: Adversarially Robust Collaborative Perception by Consensus

Multiple robots could perceive a scene (e.g., detect objects) collaborat...

3 Yiming Li, et al. ∙

research

∙ 01/01/2023

Discriminative Radial Domain Adaptation

Domain adaptation methods reduce domain shift typically by learning doma...

0 Zenan Huang, et al. ∙

research

∙ 11/14/2022

Robust Collaborative 3D Object Detection in Presence of Pose Errors

Collaborative 3D object detection exploits information exchange among mu...

0 Yifan Lu, et al. ∙

research

∙ 11/03/2022

Learning Hypergraphs From Signals With Dual Smoothness Prior

The construction of a meaningful hypergraph topology is the key to proce...

0 Bohan Tang, et al. ∙

research

∙ 10/31/2022

Unrolled Graph Learning for Multi-Agent Collaboration

Multi-agent learning has gained increasing attention to tackle distribut...

0 Enpei Zhang, et al. ∙

research

∙ 10/18/2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation

3D point cloud semantic segmentation is one of the fundamental tasks for...

0 Yangheng Zhao, et al. ∙

research

∙ 10/14/2022

FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning

One of the key challenges in federated learning (FL) is local data distr...

0 Rui Ye, et al. ∙

research

∙ 09/26/2022

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps

Multi-agent collaborative perception could significantly upgrade the per...

0 Yue Hu, et al. ∙

research

∙ 08/22/2022

Collaborative Perception for Autonomous Driving: Current Status and Future Trend

Perception is one of the crucial module of the autonomous driving system...

0 Shunli Ren, et al. ∙

research

∙ 08/08/2022

Aerial Monocular 3D Object Detection

Drones equipped with cameras can significantly enhance human ability to ...

2 Yue Hu, et al. ∙

research

∙ 08/07/2022

Weakly Supervised Online Action Detection for Infant General Movements

To make the earlier medical intervention of infants' cerebral palsy (CP)...

0 Tongyi Luo, et al. ∙

research

∙ 07/31/2022

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

Graph convolutional network based methods that model the body-joints' re...

0 Maosen Li, et al. ∙

research

∙ 07/20/2022

Aware of the History: Trajectory Forecasting with the Local Behavior Data

The historical trajectories previously passing through a location may he...

0 Yiqi Zhong, et al. ∙

research

∙ 07/18/2022

Latency-Aware Collaborative Perception

Collaborative perception has recently shown great potential to improve p...

0 Zixing Lei, et al. ∙

research

∙ 07/11/2022

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

In multi-modal multi-agent trajectory forecasting, two major challenges ...

0 Bohan Tang, et al. ∙

research

∙ 06/27/2022

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning

Demystifying the interactions among multiple agents from their past traj...

0 Chenxin Xu, et al. ∙

research

∙ 05/31/2022

Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling

Pooling and unpooling are two essential operations in constructing hiera...

4 Mingxing Xu, et al. ∙

research

∙ 04/19/2022

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

Demystifying the interactions among multiple agents from their past traj...

0 Chenxin Xu, et al. ∙

research

∙ 03/22/2022

Remember Intentions: Retrospective-Memory-based Trajectory Prediction

To realize trajectory prediction, most previous methods adopt the parame...

0 Chenxin Xu, et al. ∙

research

∙ 02/17/2022

V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving

Vehicle-to-everything (V2X), which denotes the collaboration between a v...

0 Yiming Li, et al. ∙

research

∙ 02/17/2022

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

Multivariate time series forecasting has long received significant atten...

0 Ming Jin, et al. ∙

research

∙ 01/28/2022

Modular representation and control of floppy networks

Geometric graph models of systems as diverse as proteins, robots, and me...

0 Siheng Chen, et al. ∙

research

∙ 01/25/2022

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties

Computation offloading is indispensable for mobile edge computing (MEC)....

0 Tianxi Ji, et al. ∙

research

∙ 12/06/2021

No-Reference Point Cloud Quality Assessment via Domain Adaptation

We present a novel no-reference quality assessment metric, the image tra...

3 Qi Yang, et al. ∙

research

∙ 11/01/2021

Learning Distilled Collaboration Graph for Multi-Agent Perception

To promote better performance-bandwidth trade-off for multi-agent percep...

13 Yiming Li, et al. ∙

research

∙ 10/30/2021

Dynamic Differential-Privacy Preserving SGD

Differentially-Private Stochastic Gradient Descent (DP-SGD) prevents tra...

0 Jian Du, et al. ∙

research

∙ 10/23/2021

Spatio-Temporal Graph Complementary Scattering Networks

Spatio-temporal graph signal analysis has a significant impact on a wide...

0 Zida Cheng, et al. ∙

research

∙ 10/20/2021

Detecting Backdoor Attacks Against Point Cloud Classifiers

Backdoor attacks (BA) are an emerging threat to deep neural network clas...

0 Zhen Xiang, et al. ∙

research

∙ 10/19/2021

Learning to Learn Graph Topologies

Learning a graph topology to reveal the underlying relationship between ...

0 Xingyue Pu, et al. ∙

research

∙ 10/16/2021

Joint 3D Human Shape Recovery from A Single Imag with Bilayer-Graph

The ability to estimate the 3D human shape and pose from images can be u...

0 Xin Yu, et al. ∙

research

∙ 09/24/2021

A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer

Human pose transfer has typically been modeled as a 2D image-to-image tr...

0 Jinxiang Liu, et al. ∙

research

∙ 08/25/2021

Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction

We propose a multiscale spatio-temporal graph neural network (MST-GNN) t...

0 Maosen Li, et al. ∙

research

∙ 08/17/2021

CaT: Weakly Supervised Object Detection with Category Transfer

A large gap exists between fully-supervised object detection and weakly-...

0 Tianyue Cao, et al. ∙

research

∙ 07/16/2021

Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning

3D hand-object pose estimation is an important issue to understand the i...

0 Zida Cheng, et al. ∙

research

∙ 07/02/2021

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network

This paper considers predicting future statuses of multiple agents in an...

20 Maosen Li, et al. ∙

research

∙ 04/12/2021

A Backdoor Attack against 3D Point Cloud Classifiers

Vulnerability of 3D point cloud (PC) classifiers has become a grave conc...

0 Zhen Xiang, et al. ∙

research

∙ 04/06/2021

Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization

Weakly-supervised temporal action localization aims to localize actions ...

0 Chen Ju, et al. ∙

research

∙ 03/04/2021

Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception

Distortion quantification of point clouds plays a stealth, yet vital rol...

10 Qi Yang, et al. ∙

research

∙ 12/17/2020

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation

We propose a novel method based on teacher-student learning framework fo...

0 Chenxin Xu, et al. ∙

research

∙ 12/06/2020

Spatio-Temporal Graph Scattering Transform

Although spatio-temporal graph neural networks have achieved great empir...

0 Chao Pan, et al. ∙

research

∙ 11/03/2020

Learning on Attribute-Missing Graphs

Graphs with complete node attributes have been widely explored recently....

3 Xu Chen, et al. ∙

research

∙ 11/03/2020

Sampling and Recovery of Graph Signals based on Graph Neural Networks

We propose interpretable graph neural networks for sampling and recovery...

0 Siheng Chen, et al. ∙

research

∙ 10/05/2020

Graph Cross Networks with Vertex Infomax Pooling

We propose a novel graph cross network (GXN) to achieve comprehensive fe...

0 Maosen Li, et al. ∙

research

∙ 07/16/2020

Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs

Relational learning aims to make relation inference by exploiting the co...

0 Jingchao Su, et al. ∙

research

∙ 07/16/2020

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph

Knowledge graphs (KGs) composed of users, objects, and tags are widely u...

0 Chenyang Li, et al. ∙

Siheng Chen

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