Zelin Peng
Orcid: 0009-0002-4066-7929
According to our database1,
Zelin Peng authored at least 44 papers
between 2019 and 2026.
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Bibliography
2026
DMformer: Difficulty-Adapted Masked Transformer for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, June, 2026
Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation.
CoRR, April, 2026
Thinking Like a Radiologist: A Dataset for Anatomy-Guided Interleaved Vision Language Reasoning in Chest X-ray Interpretation.
CoRR, February, 2026
Bridging Visual Dynamics and Narrative Reasoning: Multimodal Large Language Models for Short Drama Quality Assessment.
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models.
CoRR, October, 2025
CoRR, September, 2025
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding.
CoRR, August, 2025
OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection.
IEEE Trans. Circuits Syst. Video Technol., June, 2025
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models.
CoRR, June, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
CoRR, May, 2025
Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
CoRR, March, 2025
CoRR, March, 2025
S<sup>2</sup>Mamba: A Spatial-Spectral State Space Model for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
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.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
PG-SAM: A Fine-Grained Prior-Guided SAM Framework for Prompt-Free Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.
CoRR, 2024
S<sup>2</sup>Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification.
CoRR, 2024
Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.
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.
CoRR, 2022
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.
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.
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.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Proceedings of the Human Centered Computing - 5th International Conference, 2019