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Zhenfei Yin
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2020 – today
- 2024
- [c9]Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao:
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. ACL (Findings) 2024: 4864-4888 - [c8]Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao:
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. CVPR 2024: 16307-16316 - [c7]Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong:
Depicting Beyond Scores: Advancing Image Quality Assessment Through Multi-modal Language Models. ECCV (47) 2024: 259-276 - [c6]Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Jing Shao:
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE. ICLR 2024 - [c5]Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang:
3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images. ICME 2024: 1-6 - [i26]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:
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR abs/2401.15071 (2024) - [i25]Dingning Liu, Xiaoshui Huang, Yuenan Hou, Zhihui Wang, Zhenfei Yin, Yongshun Gong, Peng Gao, Wanli Ouyang:
Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models. CoRR abs/2402.03327 (2024) - [i24]Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao:
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. CoRR abs/2402.19465 (2024) - [i23]Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng
MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control. CoRR abs/2403.12037 (2024) - [i22]Zhelun Shi, Zhipin Wang, Hongxing Fan, Zaibin Zhang, Lijun Li, Yongting Zhang, Zhenfei Yin, Lu Sheng
Assessment of Multimodal Large Language Models in Alignment with Human Values. CoRR abs/2403.17830 (2024) - [i21]Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Haoshu Fang, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents. CoRR abs/2403.19622 (2024) - [i20]Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao:
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR abs/2406.12030 (2024) - [i19]Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao:
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR abs/2407.00600 (2024) - [i18]Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, Nanqing Dong:
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation. CoRR abs/2410.09403 (2024) - [i17]Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, Ruimao Zhang:
WorldSimBench: Towards Video Generation Models as World Simulators. CoRR abs/2410.18072 (2024) - 2023
- [c4]Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang, Lu Sheng, Lei Bai, Jing Shao, Wanli Ouyang:
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark. NeurIPS 2023 - [i16]Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao:
Latent Distribution Adjusting for Face Anti-Spoofing. CoRR abs/2305.09285 (2023) - [i15]Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Lu Sheng
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark. CoRR abs/2306.06687 (2023) - [i14]Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng
Octavius: Mitigating Task Interference in MLLMs via MoE. CoRR abs/2311.02684 (2023) - [i13]Zhelun Shi, Zhipin Wang, Hongxing Fan, Zhenfei Yin, Lu Sheng
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models. CoRR abs/2311.02692 (2023) - [i12]Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. CoRR abs/2312.07472 (2023) - [i11]Zhiyuan You
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models. CoRR abs/2312.08962 (2023) - 2022
- [c3]Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. ECCV (26) 2022: 509-528 - [c2]Yuanhan Zhang
Benchmarking Omni-Vision Representation Through the Lens of Visual Realms. ECCV (7) 2022: 594-611 - [i10]Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy. CoRR abs/2203.07845 (2022) - [i9]Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. CoRR abs/2203.08764 (2022) - [i8]Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu:
Robust Face Anti-Spoofing with Dual Probabilistic Modeling. CoRR abs/2204.12685 (2022) - [i7]Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu:
Benchmarking Omni-Vision Representation through the Lens of Visual Realms. CoRR abs/2207.07106 (2022) - [i6]Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images. CoRR abs/2212.08974 (2022) - 2021
- [i5]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:
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results. CoRR abs/2102.12642 (2021) - [i4]Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao:
Few-Shot Domain Expansion for Face Anti-Spoofing. CoRR abs/2106.14162 (2021) - [i3]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:
INTERN: A New Learning Paradigm Towards General Vision. CoRR abs/2111.08687 (2021) - [i2]Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan:
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data. CoRR abs/2111.12386 (2021) - 2020
- [c1]Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu:
CelebA-Spoof: Large-Scale Face Anti-spoofing Dataset with Rich Annotations. ECCV (12) 2020: 70-85 - [i1]Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu:
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations. CoRR abs/2007.12342 (2020)
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last updated on 2024-12-04 20:16 CET by the dblp team
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