Qinghao Ye

According to our database, Qinghao Ye authored at least 40 papers between 2019 and 2024.

Collaborative distances:

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

2024

UniQRNet: Unifying Referring Expression Grounding and Segmentation with QRNet.

Jiabo Ye, Junfeng Tian, Ming Yan, Haiyang Xu, Qinghao Ye, Yaya Shi, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin

ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Classification Done Right for Vision-Language Pre-Training.

Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan

CoRR, 2024

LLaVA-Critic: Learning to Evaluate Multimodal Models.

Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li

CoRR, 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.

Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang

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

Hallucination Augmented Contrastive Learning for Multimodal Large Language Model.

Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang

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

Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training.

Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training.

Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection.

Ping Li, Jiachen Cao, Li Yuan, Qinghao Ye, Xianghua Xu

Pattern Recognit., October, 2023

AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.

Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakun Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang

Neural Comput. Appl., August, 2023

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang

CoRR, 2023

Evaluation and Analysis of Hallucination in Large Vision-Language Models.

Junyang Wang, Yiyang Zhou, Guohai Xu, Pengcheng Shi, Chenlin Zhao, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Jihua Zhu, Jitao Sang, Haoyu Tang

CoRR, 2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

CoRR, 2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.

Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, Chenliang Li, Qi Qian, Maofei Que, Ji Zhang, Xiao Zeng, Fei Huang

CoRR, 2023

Transforming Visual Scene Graphs to Image Captions.

Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Ming Yan, Fei Huang, Zhangzikang Li, Yu Zhang

CoRR, 2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, Chenliang Li, Yuanhong Xu, Hehong Chen, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

CoRR, 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.

Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM.

Qinghao Ye, Haiyang Xu, Ming Yan, Chenlin Zhao, Junyang Wang, Xiaoshan Yang, Ji Zhang, Fei Huang, Jitao Sang, Changsheng Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval.

Yaya Shi, Haowei Liu, Haiyang Xu, Zongyang Ma, Qinghao Ye, Anwen Hu, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha

Proceedings of the 31st ACM International Conference on Multimedia, 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.

Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Ji Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.

Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou

Proceedings of the International Conference on Machine Learning, 2023

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.

Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.

Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transforming Visual Scene Graphs to Image Captions.

Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

All Grains, One Scheme (AGOS): Learning Multigrain Instance Representation for Aerial Scene Classification.

Qi Bi, Beichen Zhou, Kun Qin, Qinghao Ye, Gui-Song Xia

IEEE Trans. Geosci. Remote. Sens., 2022

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond.

Guang Yang, Qinghao Ye, Jun Xia

Inf. Fusion, 2022

All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification.

Qi Bi, Beichen Zhou, Kun Qin, Qinghao Ye, Gui-Song Xia

CoRR, 2022

AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus.

Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakuan Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang

CoRR, 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

Appl. Soft Comput., 2022

Exploring Global Diversity and Local Context for Video Summarization.

Yingchao Pan, Ouhan Huang, Qinghao Ye, Zhongjin Li, Wenjiang Wang, Guodun Li, Yuxing Chen

IEEE Access, 2022

2021

Exploring global diverse attention via pairwise temporal relation for video summarization.

Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao

Pattern Recognit., 2021

Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion.

Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study.

Qinghao Ye, Jun Xia, Guang Yang

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2019

Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images.

Qinghao Ye, Daijian Tu, Feiwei Qin, Zizhao Wu, Yong Peng, Shuying Shen

J. Intell. Fuzzy Syst., 2019

Application of Time Series Analysis to Traffic Accidents in Los Angeles.

Qinghao Ye, Kaiyuan Hu, Yizhe Wang

CoRR, 2019