Junran Peng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Object Detection

Indoor And Outdoor Scenes

Neural Architecture

Top Venues

Publications

Zeyu Li, Ruitong Gan, Chuanchen Luo, Yuxi Wang, Jiaheng Liu, Ziwei Zhu, Man Zhang, Qing Li, Xucheng Yin, Zhaoxiang Zhang, Junran Peng
MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets. CoRR (2024)
Genghao Zhang, Yuxi Wang, Chuanchen Luo, Shibiao Xu, Junran Peng, Zhaoxiang Zhang, Man Zhang
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes. CoRR (2024)
Noah Wang, Z. y. 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, Wenhao Huang, Jie Fu, Junran Peng
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. ACL (Findings) (2024)
Chang Yu, Junran Peng, Xiangyu Zhu, Zhaoxiang Zhang, Qi Tian, Zhen Lei
Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering. CoRR (2024)
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
OWL: A Large Language Model for IT Operations. ICLR (2024)
Mengqi Zhou, Jun Hou, Chuanchen Luo, Yuxi Wang, Zhaoxiang Zhang, Junran Peng
SceneX: Procedural Controllable Large-scale Scene Generation via Large-language Models. CoRR (2024)
Yang Liu, He Guan, Chuanchen Luo, Lue Fan, Junran Peng, Zhaoxiang Zhang
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians. CoRR (2024)
Shougao Zhang, Mengqi Zhou, Yuxi Wang, Chuanchen Luo, Rongyu Wang, Yiwei Li, Xucheng Yin, Zhaoxiang Zhang, Junran Peng
CityX: Controllable Procedural Content Generation for Unbounded 3D Cities. CoRR (2024)
Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. AAAI (2024)
Xu Hu, Yuxi Wang, Lue Fan, Junsong Fan, Junran Peng, Zhen Lei, Qing Li, Zhaoxiang Zhang
Semantic Anything in 3D Gaussians. CoRR (2024)
Cong Pan, Junran Peng, Zhaoxiang Zhang
Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection. IEEE CAA J. Autom. Sinica 11 (3) (2024)
Yiheng Huang, Hui Yang, Chuanchen Luo, Yuxi Wang, Shibiao Xu, Zhaoxiang Zhang, Man Zhang, Junran Peng
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework. CoRR (2024)
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
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. CoRR (2023)
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
OWL: A Large Language Model for IT Operations. CoRR (2023)
Cong Pan, Yonghao He, Junran Peng, Qian Zhang, Wei Sui, Zhaoxiang Zhang
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation. CVPR (2023)
Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang
GAIA-Universe: Everything is Super-Netify. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Xu Shi, Chuanchen Luo, Junran Peng, Hongwen Zhang, Yunlian Sun
Generating Fine-Grained Human Motions Using ChatGPT-Refined Descriptions. CoRR (2023)
Zhaoxiang Zhang, Cong Pan, Junran Peng
Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection. Int. J. Comput. Vis. 130 (4) (2022)
Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. BIBM (2022)
Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning. BIBM (2022)
Qing Chang, Junran Peng, Lingxi Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang Zhang
DATA: Domain-Aware and Task-Aware Self-supervised Learning. CoRR (2022)
Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. CoRR (2022)
Junran Peng, Haoquan Wang, Shaolong Yue, Zhaoxiang Zhang
Context-aware co-supervision for accurate object detection. Pattern Recognit. 121 (2022)
Qing Chang, Junran Peng, Lingxi Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang Zhang
DATA: Domain-Aware and Task-Aware Self-supervised Learning. CVPR (2022)
Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning. CoRR (2022)
Yunjie Tian, Lingxi Xie, Jiemin Fang, Mengnan Shi, Junran Peng, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers. CoRR (2022)
Yuxi Wang, Junran Peng, Zhaoxiang Zhang
Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation. ICCV (2021)
Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. CVPR (2021)
Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs. CoRR (2021)
Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. CVPR (2020)
Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. CoRR (2020)
Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection. CoRR (2019)
Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019. CoRR (2019)
Junran Peng, Ming Sun, Zhao-Xiang Zhang, Tieniu Tan, Junjie Yan
POD: Practical Object Detection With Scale-Sensitive Network. ICCV (2019)
Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
POD: Practical Object Detection with Scale-Sensitive Network. CoRR (2019)
Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection. NeurIPS (2019)
Junran Peng, Lingxi Xie, Zhaoxiang Zhang, Tieniu Tan, Jingdong Wang
Accelerating Deep Neural Networks with Spatial Bottleneck Modules. CoRR (2018)
Jingyu Liu, Yongzhen Huang, Junran Peng, Jun Yao, Liang Wang
Fast Object Detection at Constrained Energy. IEEE Trans. Emerg. Top. Comput. 6 (3) (2018)
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
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD (2015)