Jing Shao

papers

3,165

total citations

papers (18)

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

NEURIPS 2023arXiv

207

citations

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

CVPR 2021arXiv

183

citations

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

CVPR 2021arXiv

172

citations

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

CVPR 2024arXiv

citations

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models

CVPR 2025arXiv

citations

Benchmarking Omni-Vision Representation through the Lens of Visual Realms

ECCV 2022arXiv

citations

REEF: Representation Encoding Fingerprints for Large Language Models

ICLR 2025arXiv

citations

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation

CVPR 2025arXiv

citations

PalGAN: Image Colorization with Palette Generative Adversarial Networks

ECCV 2022arXiv

citations

Siamese DETR

CVPR 2023arXiv

citations

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

NEURIPS 2025arXiv

citations

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

ECCV 2022arXiv

citations

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

ECCV 2022arXiv

citations

Learning Connectivity of Neural Networks from a Topological Perspective

ECCV 2020arXiv

citations

Jing Shao

papers (18)

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

WorldSimBench: Towards Video Generation Models as World Simulators

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning

CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models

Benchmarking Omni-Vision Representation through the Lens of Visual Realms

REEF: Representation Encoding Fingerprints for Large Language Models

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation

PalGAN: Image Colorization with Palette Generative Adversarial Networks

Siamese DETR

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

Learning Connectivity of Neural Networks from a Topological Perspective

papers (18)

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

WorldSimBench: Towards Video Generation Models as World Simulators

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning

CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models

Benchmarking Omni-Vision Representation through the Lens of Visual Realms

REEF: Representation Encoding Fingerprints for Large Language Models

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation

PalGAN: Image Colorization with Palette Generative Adversarial Networks

Siamese DETR

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

Learning Connectivity of Neural Networks from a Topological Perspective