Pengzhen Ren

According to our database, Pengzhen Ren authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction.

Pengzhen Ren, Min Li, Zhen Luo, Xinshuai Song, Ziwei Chen, Weijia Liufu, Yixuan Yang, Hao Zheng, Rongtao Xu, Zitong Huang, Tongsheng Ding, Luyang Xie, Kaidong Zhang, Changfei Fu, Yang Liu, Liang Lin, Feng Zheng, Xiaodan Liang

CoRR, 2024

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation.

Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang

CoRR, 2024

OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.

Hao Wang, Pengzhen Ren, Zequn Jie, Xiao Dong, Chengjian Feng, Yinlong Qian, Lin Ma, Dongmei Jiang, Yaowei Wang, Xiangyuan Lan, Xiaodan Liang

CoRR, 2024

2023

A Comprehensive Survey of Scene Graphs: Generation and Application.

Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann

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

RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks.

Pengzhen Ren, Kaidong Zhang, Hetao Zheng, Zixuan Li, Yuhang Wen, Fengda Zhu, Mas Ma, Xiaodan Liang

CoRR, 2023

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.

Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.

Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.

Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang

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

2022

Deformable attention-oriented feature pyramid network for semantic segmentation.

Lei Lu, Yun Xiao, Xiaojun Chang, Xuanhong Wang, Pengzhen Ren, Zhe Ren

Knowl. Based Syst., 2022

A Survey of Deep Active Learning.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang

ACM Comput. Surv., 2022

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Poyao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang

ACM Comput. Surv., 2022

Beyond Fixation: Dynamic Window Visual Transformer.

Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang

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

2021

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions.

Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang

CoRR, 2021

Scene Graphs: A Survey of Generations and Applications.

Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann

CoRR, 2021

NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition.

Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen

CoRR, 2021

Person Search Challenges and Solutions: A Survey.

Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Structured Optimal Graph-Based Clustering With Flexible Embedding.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

A Survey of Deep Active Learning.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang

CoRR, 2020

2019

RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace.

Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Robust Auto-Weighted Multi-View Clustering.

Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018