Shuo Zhang

papers

741

total citations

papers (12)

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

CVPR 2024arXiv

392

citations

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception

CVPR 2023arXiv

240

citations

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation

AAAI 2025arXiv

citations

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance

ICCV 2025arXiv

citations

AI-Powered Algorithm-Centric Quantum Processor Topology Design

AAAI 2025arXiv

citations

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection

AAAI 2025

citations

Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement

ICCV 2025

citations

Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation

ICCV 2025

citations

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

AAAI 2024

citations

Shuo Zhang

papers (12)

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Domain-Specific Suppression for Adaptive Object Detection

MERGE: Fast Private Text Generation

Unlocking the Potential of Reverse Distillation for Anomaly Detection

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance

AI-Powered Algorithm-Centric Quantum Processor Topology Design

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection

Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement

Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

papers (12)

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Domain-Specific Suppression for Adaptive Object Detection

MERGE: Fast Private Text Generation

Unlocking the Potential of Reverse Distillation for Anomaly Detection

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance

AI-Powered Algorithm-Centric Quantum Processor Topology Design

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection

Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement

Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance