Zhenfei Yin

Orcid: 0000-0002-8666-1103

According to our database¹, Zhenfei Yin authored at least 27 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Assessment of Multimodal Large Language Models in Alignment with Human Values.

[BibT_eX]

[DOI]

CoRR, 2024

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control.

[BibT_eX]

[DOI]

CoRR, 2024

Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

[BibT_eX]

[DOI]

CoRR, 2024

3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Octavius: Mitigating Task Interference in MLLMs via MoE.

[BibT_eX]

[DOI]

CoRR, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Face Anti-Spoofing with Dual Probabilistic Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Omni-Vision Representation Through the Lens of Visual Realms.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data.

[BibT_eX]

[DOI]

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

[BibT_eX]

[DOI]

CoRR, 2021

Few-Shot Domain Expansion for Face Anti-Spoofing.

[BibT_eX]

[DOI]

CoRR, 2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Zhenfei Yin

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