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ORCIDZhongyu Li 0006
Person information
- affiliation: Nankai University, VCIP, School of Computer Science, Shanghai AI Laboratory, China
Other persons with the same name
- Zhongyu Li (aka: Zhong-Yu Li) — disambiguation page
- Zhongyu Li 0001
![[0000-0002-0409-8207]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0409-8207")
— University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China - Zhongyu Li 0002 — Xi'an Jiaotong University, School of Software Engineering, Xi'an, China
- Zhongyu Li 0003 — University of California Berkeley, Department of Mechanical Engineering, Berkeley, CA, USA
- Zhongyu Li 0004 — Chengdu University of Technology, College of Geophysics, Chengdu, China
- Zhongyu Li 0005 — Johns Hopkins University, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
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Journal Articles
- 2025
[j4]Zhongyu Li, Bowen Yin, Yongxiang Liu, Li Liu, Ming-Ming Cheng:
Enhancing Representations Through Heterogeneous Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5976-5989 (2025)- 2023
- [j3]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2984-3002 (2023) - [j2]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-Scale Unsupervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7457-7476 (2023) - [j1]Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15619-15631 (2023)
Conference and Workshop Papers
- 2024
- [c5]Long Li, Nian Liu, Dingwen Zhang, Zhongyu Li, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Junwei Han, Fahad Shahbaz Khan:
CONDA: Condensed Deep Association Learning for Co-salient Object Detection. ECCV (50) 2024: 287-303 - [c4]Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. ICLR 2024 - [c3]Yunheng Li, Zhong-Yu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. ICML 2024 - [c2]Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han:
ASPS: Augmented Segment Anything Model for Polyp Segmentation. MICCAI (9) 2024: 118-128 - 2021
- [c1]Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CVPR 2021: 16805-16814
Informal and Other Publications
- 2025
- [i14]Dongyang Liu, Shicheng Li, Yutong Liu, Zhen Li, Kai Wang, Xinyue Li, Qi Qin, Yufei Liu, Yi Xin, Zhongyu Li, Bin Fu, Chenyang Si, Yuewen Cao, Conghui He, Ziwei Liu, Yu Qiao, Qibin Hou, Hongsheng Li, Peng Gao:
Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT. CoRR abs/2502.06782 (2025) - [i13]Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, Ming-Ming Cheng:
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning. CoRR abs/2504.07960 (2025) - 2024
- [i12]Yunheng Li, Zhong-Yu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. CoRR abs/2406.00670 (2024) - [i11]Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han:
ASPS: Augmented Segment Anything Model for Polyp Segmentation. CoRR abs/2407.00718 (2024) - [i10]Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng:
Towards RAW Object Detection in Diverse Conditions. CoRR abs/2411.15678 (2024) - [i9]Zhong-Yu Li, Yunheng Li, Deng-Ping Fan, Ming-Ming Cheng:
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling. CoRR abs/2411.15746 (2024) - [i8]Zhong-Yu Li, Yusong Hu, Bowen Yin, Ming-Ming Cheng:
Multi-Token Enhancing for Vision Representation Learning. CoRR abs/2411.15787 (2024) - 2023
- [i7]Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. CoRR abs/2309.09668 (2023) - [i6]Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng:
Enhancing Representations through Heterogeneous Self-Supervised Learning. CoRR abs/2310.05108 (2023) - [i5]Yunheng Li, Zhong-Yu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng:
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR abs/2312.05830 (2023) - 2022
- [i4]Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
Exploring Feature Self-relation for Self-supervised Transformer. CoRR abs/2206.05184 (2022) - [i3]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. CoRR abs/2206.06637 (2022) - 2021
- [i2]Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CoRR abs/2101.00910 (2021) - [i1]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-scale Unsupervised Semantic Segmentation. CoRR abs/2106.03149 (2021)
Coauthor Index
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