Runjian Chen

According to our database, Runjian Chen authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

Xuanchi Ren, Yifan Lu, Tianshi Cao, Ruiyuan Gao, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixé, Mike Chen, Sanja Fidler, Huan Ling

CoRR, June, 2025

Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation.

Ziliang Miao, Runjian Chen, Yixi Cai, Buwei He, Wenquan Zhao, Wenqi Shao, Bo Zhang, Fu Zhang

CoRR, March, 2025

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data.

Runjian Chen, Wenqi Shao, Bo Zhang, Shaoshuai Shi, Li Jiang, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CurriculumLoc: Enhancing Cross-Domain Geolocalization Through Multistage Refinement.

Boni Hu, Lin Chen, Runjian Chen, Shuhui Bu, Pengcheng Han, Haowei Li

IEEE Trans. Geosci. Remote. Sens., 2024

CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning.

Runjian Chen, Hang Zhang, Avinash Ravichandran, Wenqi Shao, Alex Wong, Ping Luo

CoRR, 2024

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.

Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong

CoRR, 2024

Towards Implicit Prompt For Text-To-Image Models.

Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo

CoRR, 2024

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Towards Implicit Prompt For Text-To-Image Models.

Yue Yang, Yuqi Lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

CycleMLP: A MLP-Like Architecture for Dense Visual Predictions.

Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement.

Boni Hu, Lin Chen, Runjian Chen, Shuhui Bu, Pengcheng Han, Haowei Li

CoRR, 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.

Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao

CoRR, 2023

Failure-aware Policy Learning for Self-assessable Robotics Tasks.

Kechun Xu, Runjian Chen, Shuqi Zhao, Zizhang Li, Hongxiang Yu, Ci Chen, Yue Wang, Rong Xiong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training.

Runsen Xu, Tai Wang, Wenwei Zhang, Runjian Chen, Jinkun Cao, Jiangmiao Pang, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model.

Huan Yin, Runjian Chen, Yue Wang, Rong Xiong

IEEE Trans. Intell. Transp. Syst., 2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.

Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo

Proceedings of the International Conference on Machine Learning, 2022

CycleMLP: A MLP-like Architecture for Dense Prediction.

Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs.

Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Samplable Observation Model for Global Localization and Kidnapping.

Runjian Chen, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Yue Wang, Rong Xiong

IEEE Robotics Autom. Lett., 2021

Parallel computing of fuzzy integrals: Performance and test.

Jinfeng Wang, ShuaiHui Huang, Fajian Jiang, Zhishen Zheng, Jianbin Ou, Hao Chen, Runjian Chen, Wenzhong Wang

J. Intell. Fuzzy Syst., 2021

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.

Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu

Neurocomputing, 2021

2020

A Samplable Multimodal Observation Model for Global Localization and Kidnapping.

Runjian Chen, Yue Wang, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Rong Xiong

CoRR, 2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.

Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang

CoRR, 2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.

Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang

CoRR, 2020

2019

From Virtuality To Reality: A Learning-based Point Cloud Labeling Method With Synthesis Scene.

Runjian Chen, Li Tang, Xiaqing Ding, Yue Wang, Rong Xiong

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019