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Jingru Tan
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Journal Articles
- 2024
- [j2]Bo Li
, Yongqiang Yao
, Jingru Tan
, Ruihao Gong, Jianwei Lu, Ye Luo:
Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks 172: 106134 (2024) - 2023
- [j1]Jingru Tan
, Bo Li
, Xin Lu
, Yongqiang Yao
, Fengwei Yu
, Tong He
, Wanli Ouyang
:
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13876-13892 (2023)
Conference and Workshop Papers
- 2022
- [c5]Bo Li
, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. CVPR 2022: 6980-6989 - 2021
- [c4]Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li:
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. CVPR 2021: 1685-1694 - [c3]Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu:
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. CVPR 2021: 6861-6869 - [c2]Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu:
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. ICIP 2021: 299-303 - 2020
- [c1]Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan:
Equalization Loss for Long-Tailed Object Recognition. CVPR 2020: 11659-11668
Informal and Other Publications
- 2024
- [i10]Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu:
OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. CoRR abs/2407.20761 (2024) - 2023
- [i9]Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Yiming Dou, Yikun Ji, Junyi Zhang
, Yixing Li, Jingru Tan, Xudong Lu, Cewu Lu:
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding. CoRR abs/2304.00553 (2023) - 2022
- [i8]Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo:
Equalized Focal Loss for Dense Long-Tailed Object Detection. CoRR abs/2201.02593 (2022) - [i7]Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang:
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. CoRR abs/2210.05566 (2022) - [i6]Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu:
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. CoRR abs/2210.05568 (2022) - 2021
- [i5]Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu:
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. CoRR abs/2104.08569 (2021) - 2020
- [i4]Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan:
Equalization Loss for Long-Tailed Object Recognition. CoRR abs/2003.05176 (2020) - [i3]Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai:
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. CoRR abs/2009.01559 (2020) - [i2]Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li:
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection. CoRR abs/2012.08548 (2020) - 2019
- [i1]Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan:
Equalization Loss for Large Vocabulary Instance Segmentation. CoRR abs/1911.04692 (2019)
Coauthor Index
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