Search Results for author: Chenxin Xu

Found 19 papers, 13 papers with code

Language-Driven Interactive Traffic Trajectory Generation

no code implementations24 May 2024 Junkai Xia, Chenxin Xu, Qingyao Xu, Chen Xie, Yanfeng Wang, Siheng Chen

To produce interactive traffic trajectories, we propose a code-to-trajectory decoder with interaction-aware feature aggregation that synergizes vehicle interactions with the environmental map and the vehicle moves.


Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models

no code implementations18 Apr 2024 Yuzhu Cai, Sheng Yin, Yuxi Wei, Chenxin Xu, Weibo Mao, Felix Juefei-Xu, Siheng Chen, Yanfeng Wang

The burgeoning landscape of text-to-image models, exemplified by innovations such as Midjourney and DALLE 3, has revolutionized content creation across diverse sectors.

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System

1 code implementation15 Apr 2024 Genjia Liu, Yue Hu, Chenxin Xu, Weibo Mao, Junhao Ge, Zhengxiang Huang, Yifan Lu, Yinda Xu, Junkai Xia, Yafei Wang, Siheng Chen

This effort necessitates two key foundations: a platform capable of generating data to facilitate the training and testing of V2X-AD, and a comprehensive system that integrates full driving-related functionalities with mechanisms for information sharing.

Autonomous Driving

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning

no code implementations11 Mar 2024 Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang

In this paper, we propose DeLAMA, a decentralized multi-agent lifelong collaborative learning algorithm with dynamic collaboration graphs.

Computational Efficiency Graph structure learning

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

1 code implementation CVPR 2024 Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang

Furthermore, to unleash the potential of extensive high-quality digital assets, ChatSim employs a novel multi-camera lighting estimation method to achieve scene-consistent assets' rendering.

Autonomous Driving Language Modelling +2

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals

1 code implementation21 Jan 2024 Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen

Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving.

Autonomous Driving motion prediction

Compatible Transformer for Irregularly Sampled Multivariate Time Series

1 code implementation17 Oct 2023 Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen

To analyze multivariate time series, most previous methods assume regular subsampling of time series, where the interval between adjacent measurements and the number of samples remain unchanged.

Time Series

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

1 code implementation ICCV 2023 Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang

To work with auxiliary tasks, we propose a novel auxiliary-adapted transformer, which can handle incomplete, corrupted motion data and achieve coordinate recovery via capturing spatial-temporal dependencies.

Human motion prediction Human Pose Forecasting +1

Joint-Relation Transformer for Multi-Person Motion Prediction

1 code implementation ICCV 2023 Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya zhang, Yanfeng Wang

Multi-person motion prediction is a challenging problem due to the dependency of motion on both individual past movements and interactions with other people.

motion prediction Relation

FedDisco: Federated Learning with Discrepancy-Aware Collaboration

1 code implementation30 May 2023 Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

However, based on our empirical observations and theoretical analysis, we find that the dataset size is not optimal and the discrepancy between local and global category distributions could be a beneficial and complementary indicator for determining aggregation weights.

Federated Learning

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

1 code implementation CVPR 2023 Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang

The core of the proposed LED is to leverage a trainable leapfrog initializer to directly learn an expressive multi-modal distribution of future trajectories, which skips a large number of denoising steps, significantly accelerating inference speed.

Denoising Trajectory Prediction

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

1 code implementation CVPR 2023 Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang

In motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance of agent interaction is a critical and fundamental principle.

Human Pose Forecasting motion prediction +2

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

no code implementations14 Oct 2022 Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar

This method attempts to mitigate the negative effects of data heterogeneity in FL by aligning each client's feature space.

Federated Learning

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

no code implementations11 Jul 2022 Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Yanfeng Wang, Ya zhang, Siheng Chen

Further, we apply the proposed framework to current SOTA multi-agent multi-modal forecasting systems as a plugin module, which enables the SOTA systems to 1) estimate the uncertainty in the multi-agent multi-modal trajectory forecasting task; 2) rank the multiple predictions and select the optimal one based on the estimated uncertainty.

regression Task 2 +1

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

1 code implementation27 Jun 2022 Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya zhang, Siheng Chen

Demystifying the interactions among multiple agents from their past trajectories is fundamental to precise and interpretable trajectory prediction.

Relational Reasoning Trajectory Prediction

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

1 code implementation CVPR 2022 Chenxin Xu, Maosen Li, Zhenyang Ni, Ya zhang, Siheng Chen

From the aspect of interaction capturing, we propose a trainable multiscale hypergraph to capture both pair-wise and group-wise interactions at multiple group sizes.

Relational Reasoning Representation Learning +1

Remember Intentions: Retrospective-Memory-based Trajectory Prediction

1 code implementation CVPR 2022 Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen

However, in this way, the model parameters come from all seen instances, which means a huge amount of irrelevant seen instances might also involve in predicting the current situation, disturbing the performance.

Trajectory Prediction

Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks

no code implementations21 Apr 2021 Chenxin Xu, Rong Xia, Yong Xiao, Yingyu Li, Guangming Shi, Kwang-cheng Chen

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 facing unprecedented challenges.

Classification General Classification +1

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

1 code implementation17 Dec 2020 Chenxin Xu, Siheng Chen, Maosen Li, Ya zhang

To handle the decomposition ambiguity in the teacher network, we propose a cycle-consistent architecture promoting a 3D rotation-invariant property to train the teacher network.

3D Human Pose Estimation Knowledge Distillation +1

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