Chenhao Lin

papers

287

total citations

papers (10)

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

ECCV 2020arXiv

186

citations

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

CVPR 2024arXiv

citations

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

CVPR 2025arXiv

citations

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

AAAI 2025arXiv

citations

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement

CVPR 2025arXiv

citations

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights

ICCV 2025arXiv

citations

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

AAAI 2024

citations

Chenhao Lin

papers (10)

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement

D3: Training-Free AI-Generated Video Detection Using Second-Order Features

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

papers (10)

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement

D3: Training-Free AI-Generated Video Detection Using Second-Order Features

Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution