Zhongyu Li

According to our database, Zhongyu Li authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

DeST: A Decoupled Spatio-Temporal Framework for Action Segmentation.

Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng

Int. J. Comput. Vis., May, 2026

2025

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

Z-Image Team, Huanqia Cai, Sihan Cao, Ruoyi Du, Peng Gao, Steven Hoi, Zhaohui Hou, Shijie Huang, Dengyang Jiang, Xin Jin, Liangchen Li, Zhen Li, Zhong-Yu Li, David Liu, Dongyang Liu, Junhan Shi, Qilong Wu, Feng Yu, Chi Zhang, Shifeng Zhang, Shilin Zhou

CoRR, November, 2025

Enhancing Representations Through Heterogeneous Self-Supervised Learning.

Zhongyu Li, Bowen Yin, Yongxiang Liu, Li Liu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning.

Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, Ming-Ming Cheng

CoRR, April, 2025

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT.

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

CoRR, February, 2025

Towards RAW Object Detection in Diverse Conditions.

Zhongyu Li, Xin Jin, Bo-Yuan Sun, Chun-Le Guo, Ming-Ming Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Multi-Token Enhancing for Vision Representation Learning.

Zhong-Yu Li, Yusong Hu, Bowen Yin, Ming-Ming Cheng

CoRR, 2024

PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling.

Zhong-Yu Li, Yunheng Li, Deng-Ping Fan, Ming-Ming Cheng

CoRR, 2024

Towards RAW Object Detection in Diverse Conditions.

Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng

CoRR, 2024

ASPS: Augmented Segment Anything Model for Polyp Segmentation.

Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation.

Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng, Qibin Hou, Ming-Ming Cheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation.

Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CONDA: Condensed Deep Association Learning for Co-salient Object Detection.

Long Li, Nian Liu, Dingwen Zhang, Zhongyu Li, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Junwei Han, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SERE: Exploring Feature Self-Relation for Self-Supervised Transformer.

Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng

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

Large-Scale Unsupervised Semantic Segmentation.

Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr

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

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks.

Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang

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

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation.

Yunheng Li, Zhong-Yu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng

CoRR, 2023

Enhancing Representations through Heterogeneous Self-Supervised Learning.

Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng

CoRR, 2023

2022

Exploring Feature Self-relation for Self-supervised Transformer.

Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng

CoRR, 2022

2021

Global2Local: Efficient Structure Search for Video Action Segmentation.

Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng

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