Jingru Tan

According to our database, Jingru Tan authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Rectify representation bias in vision-language models for long-tailed recognition.

Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo

Neural Networks, 2024

OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.

Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu

CoRR, 2024

Beam Alignment in mmWave V2X Communications: A Survey.

Jingru Tan, Tom H. Luan, Wenbo Guan, Yuntao Wang, Haixia Peng, Yao Zhang, Dongmei Zhao, Ning Lu

IEEE Commun. Surv. Tutorials, 2024

A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game.

Jingru Tan, Xiaoqing Yang, Jinkai Zheng, Tom H. Luan, Longxiang Gao, Zhou Su

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.

Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Zehao Wang, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Xudong Lu, Jingru Tan, Cewu Lu

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

2023

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

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

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.

Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Jingru Tan, Xudong Lu, Cewu Lu

CoRR, 2023

2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.

Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu

CoRR, 2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

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

2021

Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images.

Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.

Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

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

Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection.

Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

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

2020

1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask.

Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai

CoRR, 2020

Equalization Loss for Long-Tailed Object Recognition.

Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan

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

2019

Equalization Loss for Large Vocabulary Instance Segmentation.

Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan

CoRR, 2019