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ORCIDZelin Peng
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2020 – today
- 2024
[c11]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen:
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. AAAI 2024: 4515-4523- [c10]Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang:
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation. AAAI 2024: 16228-16236 - [c9]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Lingxi Xie, Qi Tian, Wei Shen:
Parameter Efficient Fine-Tuning via Cross Block Orchestration for Segment Anything Model. CVPR 2024: 3743-3752 - [c8]Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen:
Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation. MICCAI (8) 2024: 424-433 - [i8]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xiuping Jia, Licheng Jiao:
S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification. CoRR abs/2404.18213 (2024) - [i7]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yaoming Wang, Lingxi Xie, Qi Tian, Wei Shen:
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation. CoRR abs/2405.18840 (2024) - 2023
- [j1]Wei Shen
, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian:
A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9284-9305 (2023) - [c7]Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian:
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. ICCV 2023: 624-634 - [i6]Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian:
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. CoRR abs/2303.07806 (2023) - [i5]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen:
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction. CoRR abs/2308.14604 (2023) - [i4]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Lingxi Xie, Qi Tian, Wei Shen:
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model. CoRR abs/2311.17112 (2023) - 2022
- [c6]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao:
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. IJCAI 2022: 1378-1384 - [c5]Haotian Lu, Jinghao Feng, Zelin Peng, Wei Shen:
Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline. Cell Segmentation Challenge @ NeurIPS 2022: 1-9 - [i3]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao:
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information. CoRR abs/2204.10068 (2022) - [i2]Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian:
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction. CoRR abs/2207.01223 (2022) - 2021
- [c4]Yibo Lu, Yi He, Yixiang Cai, Zelin Peng, Yong Tang:
Time-aware Neural Collaborative Filtering with Multi-dimensional Features on Academic Paper Recommendation. CSCWD 2021: 1052-1057 - [c3]Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. ACM Multimedia 2021: 5463-5472 - [i1]Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao:
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation. CoRR abs/2108.01344 (2021) - 2020
- [c2]Zelin Peng, Guanchun Wang, Xiangrong Zhang, Xu Tang, Li Gao, Licheng Jiao:
A Learnable Blur Kernel for Remote Sensing Image Retrieval. IGARSS 2020: 1937-1940
2010 – 2019
- 2019
- [c1]Zelin Peng, Ronghua Lin, Yi He, Liu Wang, Hanlu Chu, Chengzhou Fu, Yong Tang:
News Recommendation Model Based on Improved Label Propagation Algorithm. HCC 2019: 315-324
Coauthor Index
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