Jun Cen

According to our database, Jun Cen authored at least 42 papers between 2020 and 2026.

Collaborative distances:

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

2026

Self-Evolved Imitation Learning in Simulated World.

Yifan Ye, Jun Cen, Jing Chen, Zhihe Lu

IEEE Robotics Autom. Lett., June, 2026

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving.

Lingdong Kong, Xiang Xu, Youquan Liu, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

RynnBrain: Open Embodied Foundation Models.

Ronghao Dang, Jiayan Guo, Bohan Hou, Sicong Leng, Kehan Li, Xin Li, Jiangpin Liu, Yunxuan Mao, Zhikai Wang, Yuqian Yuan, Minghao Zhu, Xiao Lin, Yang Bai, Qian Jiang, Yaxi Zhao, Minghua Zeng, Junlong Gao, Yuming Jiang, Jun Cen, Siteng Huang, Liuyi Wang, Wenqiao Zhang, Chengju Liu, Jianfei Yang, Shijian Lu, Deli Zhao

CoRR, February, 2026

InspecSafe-V1: A Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios.

Zeyi Liu, Shuang Liu, Jihai Min, Zhaoheng Zhang, Jun Cen, Pengyu Han, Songqiao Hu, Zihan Meng, Xiao He, Donghua Zhou

CoRR, January, 2026

Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors.

Haoyu Zhao, Linghao Zhuang, Xingyue Zhao, Cheng Zeng, Haoran Xu, Yuming Jiang, Jun Cen, Kexiang Wang, Jiayan Guo, Siteng Huang, Xin Li, Deli Zhao, Hua Zou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future.

Tianshuai Hu, Xiaolu Liu, Song Wang, Yiyao Zhu, Ao Liang, Lingdong Kong, Guoyang Zhao, Zeying Gong, Jun Cen, Zhiyu Huang, Xiaoshuai Hao, Linfeng Li, Hang Song, Xiangtai Li, Jun Ma, Shaojie Shen, Jianke Zhu, Dacheng Tao, Ziwei Liu, Junwei Liang

CoRR, December, 2025

VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer.

Songqiao Hu, Zeyi Liu, Shuang Liu, Jun Cen, Zihan Meng, Xiao He

CoRR, December, 2025

Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action Models.

Yifan Ye, Jiaqi Ma, Jun Cen, Zhihe Lu

CoRR, December, 2025

RynnVLA-002: A Unified Vision-Language-Action and World Model.

Jun Cen, Siteng Huang, Yuqian Yuan, Kehan Li, Hangjie Yuan, Chaohui Yu, Yuming Jiang, Jiayan Guo, Xin Li, Hao Luo, Fan Wang, Deli Zhao, Hao Chen

CoRR, November, 2025

HiMaCon: Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data.

Ruizhe Liu, Pei Zhou, Qian Luo, Li Sun, Jun Cen, Yibing Song, Yanchao Yang

CoRR, October, 2025

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation.

Yuming Jiang, Siteng Huang, Shengke Xue, Yaxi Zhao, Jun Cen, Sicong Leng, Kehan Li, Jiayan Guo, Kexiang Wang, Mingxiu Chen, Fan Wang, Deli Zhao, Xin Li

CoRR, September, 2025

Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective.

Hangjie Yuan, Weihua Chen, Jun Cen, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang

CoRR, July, 2025

WorldVLA: Towards Autoregressive Action World Model.

Jun Cen, Chaohui Yu, Hangjie Yuan, Yuming Jiang, Siteng Huang, Jiayan Guo, Xin Li, Yibing Song, Hao Luo, Fan Wang, Deli Zhao, Hao Chen

CoRR, June, 2025

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems.

Felix Chen, Hangjie Yuan, Yunqiu Xu, Tao Feng, Jun Cen, Pengwei Liu, Zeying Huang, Yi Yang

CoRR, March, 2025

Generative Artificial Intelligence in Robotic Manipulation: A Survey.

Kun Zhang, Peng Yun, Jun Cen, Junhao Cai, Didi Zhu, Hangjie Yuan, Chao Zhao, Tao Feng, Michael Yu Wang, Qifeng Chen, Jia Pan, Wei Zhang, Bo Yang, Hua Chen

CoRR, March, 2025

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding.

Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

CLIP-guided Prototype Modulating for Few-shot Action Recognition.

Xiang Wang, Shiwei Zhang, Jun Cen, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang

Int. J. Comput. Vis., June, 2024

CMDFusion: Bidirectional Fusion Network With Cross-Modality Knowledge Distillation for LiDAR Semantic Segmentation.

Jun Cen, Shiwei Zhang, Yixuan Pei, Kun Li, Hang Zheng, Maochun Luo, Yingya Zhang, Qifeng Chen

IEEE Robotics Autom. Lett., January, 2024

Continual Learning for Segment Anything Model Adaptation.

Jinglong Yang, Yichen Wu, Jun Cen, Wenjian Huang, Hong Wang, Jianguo Zhang

CoRR, 2024

SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality.

Chenyang Lei, Liyi Chen, Jun Cen, Xiao Chen, Zhen Lei, Felix Heide, Qifeng Chen, Zhaoxiang Zhang

CoRR, 2024

SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality.

Chenyang Lei, Liyi Chen, Jun Cen, Xiao Chen, Zhen Lei, Felix Heide, Ziwei Liu, Qifeng Chen, Zhaoxiang Zhang

CoRR, 2024

iControl3D: An Interactive System for Controllable 3D Scene Generation.

Xingyi Li, Yizheng Wu, Jun Cen, Juewen Peng, Kewei Wang, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Using Left and Right Brains Together: Towards Vision and Language Planning.

Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang

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

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations.

Kewei Wang, Yizheng Wu, Jun Cen, Zhiyu Pan, Xingyi Li, Zhe Wang, Zhiguo Cao, Guosheng Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Consistent Prompting for Rehearsal-Free Continual Learning.

Zhanxin Gao, Jun Cen, Xiaobin Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Few-shot Out-of-Distribution Detection.

Jiuqing Dong, Yongbin Gao, Heng Zhou, Jun Cen, Yifan Yao, Sook Yoon, Park Dong Sun

CoRR, 2023

SAD: Segment Any RGBD.

Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen

CoRR, 2023

4D Panoptic Scene Graph Generation.

Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.

Youquan Liu, Lingdong Kong, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition.

Jun Cen, Di Luan, Shiwei Zhang, Yixuan Pei, Yingya Zhang, Deli Zhao, Shaojie Shen, Qifeng Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition.

Jun Cen, Shiwei Zhang, Xiang Wang, Yixuan Pei, Zhiwu Qing, Yingya Zhang, Qifeng Chen

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

2022

Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume.

Junhao Cai, Jun Cen, Haokun Wang, Michael Yu Wang

IEEE Robotics Autom. Lett., 2022

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning.

Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A lightweight multi-scale context network for salient object detection in optical remote sensing images.

Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images.

Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Open-world Semantic Segmentation for LIDAR Point Clouds.

Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Mingqian Tang, Ming Liu, Michael Yu Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MPI: Multi-receptive and parallel integration for salient object detection.

Han Sun, Jun Cen, Ningzhong Liu, Dong Liang, Huiyu Zhou

IET Image Process., 2021

BORM: Bayesian Object Relation Model for Indoor Scene Recognition.

Liguang Zhou, Jun Cen, Xingchao Wang, Zhenglong Sun, Tin Lun Lam, Yangsheng Xu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Metric Learning for Open World Semantic Segmentation.

Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection.

Peng Yun, Jun Cen, Ming Liu

Proceedings of the International Conference on 3D Vision, 2021

Open-set 3D Object Detection.

Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu

Proceedings of the International Conference on 3D Vision, 2021

2020

WFNet: A Wider and Finer Network for Salient Object Detection.

Jun Cen, Han Sun, Xinyi Chen, Ningzhong Liu, Dong Liang, Huiyu Zhou

IEEE Access, 2020