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 * About Me
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 * Publications
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 * Experiences


JUNRAN PENG 彭君然

Associate Professor

 * 
 * Beijing, China
 * USTB
 * Email
 * Github
 * Google Scholar




🎓 ABOUT ME

I am currently an Associate Professor in the School of Computer and
Communication Engineering, University of Science and Technology Beijing. My
research interests focus on 3D generative AI and Embodied AI, including motion
capture & synthesis, 3D reconstruction, 3D scene generation, computer graphics,
image/video generation and robotics. Before I joined USTB, I obtained my B.E.
and Ph.D. degrees from Tsinghua University, and Institute of Automation，Chinese
Academy of Sciences, under the supervision of Prof. Tieniu Tan and Prof.
Zhaoxiang Zhang. After that I joined Huawei and deeply cooperate with Lingxi Xie
under the supervision of Prof. Qi Tian. After that I have founded a startup
Cheery.AI for a while. Now I’m in deep cooperation with Prof. Zhaoxiang Zhang in
Institute of Automation，Chinese Academy of Sciences. I also collaberate closely
with [Prof.Jiaheng Liu] in Nanjing University and Prof. Chuanchen Luo in
Shandong University.


🔈 JOIN US

If you are interested in our projects on 3D vision, generative AI, or embodied
AI, please feel free to contact me for potential collaboration or exchange. You
can reach out via email or WeChat.

随时欢迎对三维视觉、生成式人工智能、具身智能感兴趣的老师/研究生/本科生/实习生通过jrpeng4ever@126.com联系合作、交流


🔥 NEWS

 * 2024.10:   One paper accepted by NeurIPS 2024 D&B.
 * 2024.08:   One paper accepted by ACL 2024 Findings.
 * 2024.07:   Two papers accepted by ACM MM 2024 as oral representations.
 * 2024.07:   One paper accepted by ECCV 2024.
 * 2024.07:   One paper accepted by TPAMI 2024.
 * 2024.02:   One paper accepted by CVPR 2024.


📝 SELECTED PUBLICATIONS

NeurIPS Dataset 2024

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing
Agents from Scripts

Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang, Jian Yang, Jiakai Wang,
Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge
Rong, Junran Peng, Zhaoxiang Zhang

NeurIPS Dataset and Benchmark Track 2024

ACL 2024 Findings

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large
Language Models [Paper] [Code]

Zekun Moore Wang*, Zhongyuan Peng*, Haoran Que*, Jiaheng Liu, Wangchunshu Zhou,
Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang
Zhang, Wanli Ouyang, Ke Xu, Stephen W. Huang, Jie Fu, Junran Peng

Findings of the Association for Computational Linguistics (Findings of ACL) 2024

MM 2024

StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation
Framework [Paper] [Code]

Yiheng Huang, Hui Yang, Chuanchen Luo, Yuxi Wang, Shibiao Xu, Zhaoxiang Zhang,
Man Zhang†, Junran Peng†

ACM International Conference on Multimedia (ACM MM) 2024 Oral

MM 2024

MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets [Paper]
[Project]

Zeyu Li, Ruitong Gan, Chuanchen Luo, Yuxi Wang, Jiaheng Liu, Ziwei Zhu, Man
Zhang, Qing Li, Xucheng Yin, Zhaoxiang Zhang, Junran Peng

ACM International Conference on Multimedia (ACM MM) 2024 Oral

ECCV 2024

CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
[Paper] [Project] [Code]

Yang Liu, He Guan, Chuanchen Luo, Lue Fan, Junran Peng†, Zhaoxiang Zhang†

European Conference on Computer Vision (ECCV) 2024

CVPR 2024

HardMo: A Large-Scale Hardcase Dataset for Motion Capture [Paper] [Project]

Jiaqi Liao*, Chuanchen Luo*, Yiheng Du, Yuxi Wang, Xucheng Yin, Man Zhang,
Zhaoxiang Zhang†, Junran Peng†

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

ICCV 2023

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling [Paper]

JiahengLiu\∗, JianhaoLi\∗, KaisiyuanWang, HongchengGuo, JianYang1, Junran Peng,
KeXu, XianglongLiu, JinyangGuo1†

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

TPAMI 2023

Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels [Paper]

CongPan\∗, JunranPeng\∗, XingyuanBu, ZhaoxiangZhang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

AAAI 2024

Logformer: A pre-train and tuning pipeline for log anomaly detection [Paper]

Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li,
Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024

TPAMI 2023

GAIA-Universe: Everything is Super-Netify [Paper] [Code]

Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie,
Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence（TPAMI）2023

CVPR 2023

BAEFormer: Bi-Directional and Early Interaction Transformers for Bird’s Eye View
Semantic Segmentation [Paper]

Cong Pan, Yonghao He, Junran Peng, Qian Zhang, Wei Sui, Zhaoxiang Zhang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

CVPR 2023

DATA: Domain-aware and task-aware self-supervised learning [Paper]

Qing Chang, Junran Peng, Lingxie Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang
Zhang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

IJCV 2022

Delving into the effectiveness of receptive fields: Learning scale-transferrable
architectures for practical object detection [Paper]

Zhaoxiang Zhang, Cong Pan, Junran Peng

International Journal of Computer Vision (IJCV) 2022

ICCV 2021

Uncertainty-aware pseudo label refinery for domain adaptive semantic
segmentation [Paper]

Yuxi Wang, Junran Peng, ZhaoXiang Zhang

IEEE/CVF International Conference on Computer Vision (ICCV) 2021

CVPR 2021

Gaia: A transfer learning system of object detection that fits your needs
[Paper]

Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021

CVPR 2020

Large-scale object detection in the wild from imbalanced multi-labels [Paper]

Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

NeurIPS 2019

Efficient neural architecture transformation search in channel-level for object
detection [Paper]

Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

Neural Information Processing Systems (NeurIPS) 2019

ICCV 2019

POD: Practical object detection with scale-sensitive network [Paper]

Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

IEEE/CVF International Conference on Computer Vision (ICCV) 2019


📄 PRE-PRINTS

1.CityX: Controllable Procedural Content Generation for Unbounded 3D Cities
[Paper] [Project] [Github]

Shougao Zhang, Mengqi Zhou, Yuxi Wang*, Chuanchen Luo, Rongyu Wang, Yiwei Li,
Xucheng Yin, Zhaoxiang Zhang†, Junran Peng†

**2.SceneX: Procedural Controllable Large-scale Scene Generation via
Large-language Models ** [Paper] [Project]

Mengqi Zhou, Yuxi Wang, Jun Hou, Chuanchen Luo, Zhaoxiang Zhang, Junran Peng†

Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis
through Prompt Engineering [Paper]

Chang Yu, Junran Peng, Xiangyu Zhu, Zhaoxiang Zhang, Qi Tian, Zhen Lei

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
pre-print [Paper]

Genghao Zhang, Yuxi Wang, Chuanchen Luo, Shibiao Xu, Zhaoxiang Zhang, Man Zhang,
Junran Peng


📖 EXPERIENCES

 * Associate Professor in the School of Computer and Communication Engineering,
   University of Science and Technology Beijing
   Date: 2024.09 ~ (now)

 * Ph.D in the Institute of Automation, Chinese Academy of Sciences
   Date: 2015.09 ~ 2020.07
   Supervisor: Prof. Tieniu Tan and Prof. Zhaoxiang Zhang (张兆翔).

 * B.E. in the Department of Computer Science and Technology, Tsinghua
   University Date: 2011.09 ~ 2015.07