Jingru Tan

Orcid: 0000-0002-5506-0532

According to our database1, Jingru Tan authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Rectify representation bias in vision-language models for long-tailed recognition.
Neural Networks, 2024

OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.
CoRR, 2024

Beam Alignment in mmWave V2X Communications: A Survey.
IEEE Commun. Surv. Tutorials, 2024

2023
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
CoRR, 2023

2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.
CoRR, 2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.
CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.
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.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.
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.
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.
CoRR, 2020

Equalization Loss for Long-Tailed Object Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Equalization Loss for Large Vocabulary Instance Segmentation.
CoRR, 2019


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