activity
20202022
most citedRemember Intentions: Retrospective-Memory-based Trajectory Prediction

9 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

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

Rui Ye, Zhenyang Ni, Chenxin Xu +3

One of the key challenges in federated learning (FL) is local data distribution heterogeneity across clients, which may cause inconsistent feature spaces across clients. To address…

cs.CV20227 cited

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

Chenxin Xu, Maosen Li, Zhenyang Ni +2

Demystifying the interactions among multiple agents from their past trajectories is fundamental to precise and interpretable trajectory prediction. However, previous works only con…

cs.CV20229 cited

Remember Intentions: Retrospective-Memory-based Trajectory Prediction

Chenxin Xu, Weibo Mao, Wenjun Zhang +1

To realize trajectory prediction, most previous methods adopt the parameter-based approach, which encodes all the seen past-future instance pairs into model parameters. However, in…

cs.LG2021

Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks

Chenxin Xu, Rong Xia, Yong Xiao +3

With the fast growing demand on new services and applications as well as the increasing awareness of data protection, traditional centralized traffic classification approaches are…

cs.CV2020

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

Chenxin Xu, Siheng Chen, Maosen Li +1

We propose a novel method based on teacher-student learning framework for 3D human pose estimation without any 3D annotation or side information. To solve this unsupervised-learnin…