Zelin Peng
18 papers · 2022–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Deep Learning
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Machine Learning
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Artificial Intelligence
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Computer Vision
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Core AI
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Learning Types Β· Machine Learning
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Keywords
vision-language model
(5)
image segmentation
(4)
parameter-efficient fine-tuning
(4)
transfer learning
(4)
semantic segmentation
(2)
computer vision
(2)
contrastive learning
(2)
open-vocabulary semantic segmentation
(2)
clip model
(2)
segment anything model
(2)
attention mechanism
(2)
cross-modal alignment
(2)
multimodal large language model
(2)
visual question answering
(1)
domain adaptation
(1)
image classification
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matrix decomposition
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domain generalization
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point cloud
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image generation
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Papers
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
Efficient Segmentation with Multimodal Large Language Model via Token Routing
AAAI 2026
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation
CVPR 2026
Unlocking 3D Affordance Segmentation with 2D Semantic Knowledge
CVPR 2026
Domain Generalization in CLIP via Learning with Diverse Text Prompts
CVPR 2025
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
AAAI 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
CVPR 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
CVPR 2025
Star with Bilinear Mapping
CVPR 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
CVPR 2025
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
AAAI 2024
Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation
MICCAI 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
ICCV 2023
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information
IJCAI 2022