Zelin Peng

According to our database, Zelin Peng authored at least 34 papers between 2019 and 2025.

Collaborative distances:

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

2025

AnimateScene: Camera-controllable Animation in Any Scene.

Qingyang Liu, Bingjie Gao, Weiheng Huang, Jun Zhang, Zhongqian Sun, Yang Wei, Zelin Peng, Qianli Ma, Shuai Yang, Zhaohe Liao, Haonan Zhao, Li Niu

CoRR, August, 2025

NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding.

Zelin Peng, Yichen Zhao, Yu Huang, Piao Yang, Feilong Tang, Zhengqin Xu, Xiaokang Yang, Wei Shen

CoRR, August, 2025

OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection.

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Shunli Tian, Tianyang Zhang, Xu Tang, Licheng Jiao

IEEE Trans. Circuits Syst. Video Technol., June, 2025

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models.

Yu Huang, Zelin Peng, Yichen Zhao, Piao Yang, Xiaokang Yang, Wei Shen

CoRR, June, 2025

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.

Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge

CoRR, May, 2025

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation.

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Huiyu Zhou, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., April, 2025

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model.

Guanchun Wang, Xiangrong Zhang, Yifei Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Licheng Jiao

CoRR, April, 2025

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation.

Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak

CoRR, March, 2025

ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos.

Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak

CoRR, March, 2025

S²Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification.

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2025

Domain Generalization in CLIP via Learning with Diverse Text Prompts.

Changsong Wen, Zelin Peng, Yu Huang, Xiaokang Yang, Wei Shen

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

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.

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

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

Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen

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

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yu Huang, Yaoming Wang, Wei Shen

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

Star with Bilinear Mapping.

Zelin Peng, Yu Huang, Zhengqin Xu, Feilong Tang, Ming Hu, Xiaokang Yang, Wei Shen

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

Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation.

Yuheng Feng, Changsong Wen, Zelin Peng, Li jiaye, Siyu Zhu

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

FATE: Feature-Adapted Parameter Tuning for Vision-Language Models.

Zhengqin Xu, Zelin Peng, Xiaokang Yang, Wei Shen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

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

CoRR, 2024

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yaoming Wang, Lingxi Xie, Qi Tian, Wei Shen

CoRR, 2024

S²Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification.

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xiuping Jia, Licheng Jiao

CoRR, 2024

Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation.

Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen

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

Parameter Efficient Fine-Tuning via Cross Block Orchestration for Segment Anything Model.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Lingxi Xie, Qi Tian, Wei Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation.

Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation.

Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction.

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.

Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian

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

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.

Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction.

Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian

CoRR, 2022

Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline.

Haotian Lu, Jinghao Feng, Zelin Peng, Wei Shen

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information.

Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation.

Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Time-aware Neural Collaborative Filtering with Multi-dimensional Features on Academic Paper Recommendation.

Yibo Lu, Yi He, Yixiang Cai, Zelin Peng, Yong Tang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

A Learnable Blur Kernel for Remote Sensing Image Retrieval.

Zelin Peng, Guanchun Wang, Xiangrong Zhang, Xu Tang, Li Gao, Licheng Jiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

News Recommendation Model Based on Improved Label Propagation Algorithm.

Zelin Peng, Ronghua Lin, Yi He, Liu Wang, Hanlu Chu, Chengzhou Fu, Yong Tang

Proceedings of the Human Centered Computing - 5th International Conference, 2019