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ORCIDZelin Peng
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2020 – today
- 2025
[j4]Guanchun Wang
, Xiangrong Zhang, Zelin Peng, Shunli Tian, Tianyang Zhang, Xu Tang, Licheng Jiao:
OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection. IEEE Trans. Circuits Syst. Video Technol. 35(6): 5380-5393 (2025)- [j3]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Licheng Jiao:
S2Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025) - [j2]Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Huiyu Zhou, Licheng Jiao:
Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6188-6202 (2025) - [c19]Zhengqin Xu, Zelin Peng, Xiaokang Yang, Wei Shen:
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models. AAAI 2025: 9014-9022 - [c18]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen:
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space. CVPR 2025: 4562-4572 - [c17]Changsong Wen, Zelin Peng, Yu Huang, Xiaokang Yang, Wei Shen:
Domain Generalization in CLIP via Learning with Diverse Text Prompts. CVPR 2025: 9559-9569 - [c16]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yu Huang, Yaoming Wang, Wei Shen:
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation. CVPR 2025: 15009-15020 - [c15]Yuheng Feng, Changsong Wen, Zelin Peng, Li jiaye, Siyu Zhu:
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation. CVPR 2025: 24895-24904 - [c14]Zelin Peng, Yu Huang, Zhengqin Xu, Feilong Tang, Ming Hu, Xiaokang Yang, Wei Shen:
Star with Bilinear Mapping. CVPR 2025: 25292-25302 - [c13]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 2025: 26147-26159 - [i19]Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak:
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. CoRR abs/2503.16400 (2025) - [i18]Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak:
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. CoRR abs/2503.18227 (2025) - [i17]Guanchun Wang, Xiangrong Zhang, Yifei Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Licheng Jiao:
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model. CoRR abs/2504.11781 (2025) - [i16]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CoRR abs/2505.16652 (2025) - [i15]Yu Huang, Zelin Peng, Yichen Zhao, Piao Yang, Xiaokang Yang, Wei Shen:
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models. CoRR abs/2506.10465 (2025) - [i14]Zelin Peng, Yichen Zhao, Yu Huang, Piao Yang, Feilong Tang, Zhengqin Xu, Xiaokang Yang, Wei Shen:
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding. CoRR abs/2508.04101 (2025) - [i13]Qingyang Liu, Bingjie Gao, Weiheng Huang, Jun Zhang, Zhongqian Sun, Yang Wei, Zelin Peng, Qianli Ma, Shuai Yang, Zhaohe Liao, Haonan Zhao, Li Niu:
AnimateScene: Camera-controllable Animation in Any Scene. CoRR abs/2508.05982 (2025) - [i12]Han Li, Xinyu Peng, Yaoming Wang, Zelin Peng, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Wenrui Dai, Hongkai Xiong:
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation. CoRR abs/2509.03498 (2025) - [i11]Yu Huang, Zelin Peng, Changsong Wen, Xiaokang Yang, Wei Shen:
Unlocking 3D Affordance Segmentation with 2D Semantic Knowledge. CoRR abs/2510.08316 (2025) - [i10]Zelin Peng, Zhengqin Xu, Qingyang Liu, Xiaokang Yang, Wei Shen:
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models. CoRR abs/2510.20322 (2025) - 2024
- [c12]Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen:
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. AAAI 2024: 4515-4523 - [c11]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 - [c10]Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen:
DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation. BIBM 2024: 2829-2836 - [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 - [i9]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) - [i8]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) - [i7]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. CoRR abs/2411.15421 (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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last updated on 2026-01-05 23:41 CET by the dblp team
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