Runjian Chen

Orcid: 0000-0003-0519-496X

According to our database1, Runjian Chen authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
CurriculumLoc: Enhancing Cross-Domain Geolocalization Through Multistage Refinement.
IEEE Trans. Geosci. Remote. Sens., 2024

Towards Implicit Prompt For Text-To-Image Models.
CoRR, 2024

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Towards Implicit Prompt For Text-To-Image Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
CycleMLP: A MLP-Like Architecture for Dense Visual Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement.
CoRR, 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.
CoRR, 2023

Failure-aware Policy Learning for Self-assessable Robotics Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training.
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.
IEEE Trans. Intell. Transp. Syst., 2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.
CoRR, 2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.
Proceedings of the International Conference on Machine Learning, 2022

CycleMLP: A MLP-like Architecture for Dense Prediction.
Proceedings of the Tenth International Conference on Learning Representations, 2022

RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep Samplable Observation Model for Global Localization and Kidnapping.
IEEE Robotics Autom. Lett., 2021

Parallel computing of fuzzy integrals: Performance and test.
J. Intell. Fuzzy Syst., 2021

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.
Neurocomputing, 2021

2020
A Samplable Multimodal Observation Model for Global Localization and Kidnapping.
CoRR, 2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.
CoRR, 2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.
CoRR, 2020

2019
From Virtuality To Reality: A Learning-based Point Cloud Labeling Method With Synthesis Scene.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019


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