Junran Peng

According to our database, Junran Peng authored at least 29 papers between 2015 and 2024.

Collaborative distances:

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

2024

Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection.

Cong Pan, Junran Peng, Zhaoxiang Zhang

IEEE CAA J. Autom. Sinica, March, 2024

SceneX: Procedural Controllable Large-scale Scene Generation via Large-language Models.

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

CoRR, 2024

Semantic Anything in 3D Gaussians.

Xu Hu, Yuxi Wang, Lue Fan, Junsong Fan, Junran Peng, Zhen Lei, Qing Li, Zhaoxiang Zhang

CoRR, 2024

Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering.

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

CoRR, 2024

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes.

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

CoRR, 2024

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GAIA-Universe: Everything is Super-Netify.

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

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

Generating Fine-Grained Human Motions Using ChatGPT-Refined Descriptions.

Xu Shi, Chuanchen Luo, Junran Peng, Hongwen Zhang, Yunlian Sun

CoRR, 2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

CoRR, 2023

OWL: A Large Language Model for IT Operations.

Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

CoRR, 2023

BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation.

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

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

2022

Context-aware co-supervision for accurate object detection.

Junran Peng, Haoquan Wang, Shaolong Yue, Zhaoxiang Zhang

Pattern Recognit., 2022

Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection.

Zhaoxiang Zhang, Cong Pan, Junran Peng

Int. J. Comput. Vis., 2022

Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning.

Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li

CoRR, 2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.

Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li

CoRR, 2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers.

Yunjie Tian, Lingxi Xie, Jiemin Fang, Mengnan Shi, Junran Peng, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye

CoRR, 2022

DATA: Domain-Aware and Task-Aware Self-supervised Learning.

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

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

Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning.

Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.

Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation.

Yuxi Wang, Junran Peng, Zhaoxiang Zhang

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

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019.

Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao

CoRR, 2019

Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection.

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

CoRR, 2019

Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

POD: Practical Object Detection With Scale-Sensitive Network.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Fast Object Detection at Constrained Energy.

Jingyu Liu, Yongzhen Huang, Junran Peng, Jun Yao, Liang Wang

IEEE Trans. Emerg. Top. Comput., 2018

Accelerating Deep Neural Networks with Spatial Bottleneck Modules.

Junran Peng, Lingxi Xie, Zhaoxiang Zhang, Tieniu Tan, Jingdong Wang

CoRR, 2018

2015

Rebooting Computing and Low-Power Image Recognition Challenge.

Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015