Lanyun Zhu
14 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(10)
Machine Learning
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Core AI
(10)
Computer Vision
(9)
Deep Learning
(8)
Analysis
(8)
Learning Types Β· Machine Learning
(7)
Learning Types Β· Deep Learning
(6)
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(3)
Reinforcement Learning
(2)
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Natural Language Processing
(1)
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Keywords
semantic segmentation
(7)
few-shot segmentation
(4)
reinforcement learning
(3)
curriculum learning
(3)
feature extraction
(2)
convolutional neural network
(2)
texture feature
(2)
multi-agent system
(2)
few-shot learning
(2)
prototype learning
(1)
image segmentation
(1)
ensemble learning
(1)
policy optimization
(1)
attention mechanism
(1)
catastrophic forgetting
(1)
temporal grounding
(1)
video understanding
(1)
multimodal learning
(1)
gabor filters
(1)
preference optimization
(1)
Papers
ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring
ACL 2026
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
AAAI 2026
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
ICML 2025
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation
CVPR 2025
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning
EMNLP 2025
RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
ACL 2025
Unlocking the Power of SAM 2 for Few-Shot Segmentation
ICML 2025
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
CVPR 2024
Discrete Latent Perspective Learning for Segmentation and Detection
ICML 2024
Hybrid Mamba for Few-Shot Segmentation
NeurIPS 2024
LLaFS: When Large Language Models Meet Few-Shot Segmentation
CVPR 2024
Continual Semantic Segmentation With Automatic Memory Sample Selection
CVPR 2023
Learning Gabor Texture Features for Fine-Grained Recognition
ICCV 2023
Learning Statistical Texture for Semantic Segmentation
CVPR 2021