Zhenfei Yin

According to our database, Zhenfei Yin authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Haoshu Fang, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

CoRR, 2024

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

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zaibin Zhang, Lijun Li, Yongting Zhang, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2024

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

Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2024

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

Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao

CoRR, 2024

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

Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang

CoRR, 2024

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

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

2023

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

Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong

CoRR, 2023

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

Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao

CoRR, 2023

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

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2023

Octavius: Mitigating Task Interference in MLLMs via MoE.

Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Yu Qiao, Jing Shao

CoRR, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.

Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao

CoRR, 2023

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

Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang, Lu Sheng, Lei Bai, Jing Shao, Wanli Ouyang

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.

Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang

CoRR, 2022

Robust Face Anti-Spoofing with Dual Probabilistic Modeling.

Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu

CoRR, 2022

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

Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

CoRR, 2022

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

Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He, Zhenfei Yin, Kun Wang, Lu Sheng, Yu Qiao, Jing Shao, Ziwei Liu

CoRR, 2022

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

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

CoRR, 2021

Few-Shot Domain Expansion for Face Anti-Spoofing.

Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao

CoRR, 2021

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

Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao

CoRR, 2021

2020

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

Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2020, 2020