Jiabo Ye

Orcid: 0009-0009-5451-8984

According to our database1, Jiabo Ye authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.
CoRR, 2024

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.
CoRR, 2024

Part-Aware Prompt Tuning for Weakly Supervised Referring Expression Grounding.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.
CoRR, 2023

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.
CoRR, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
CoRR, 2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.
CoRR, 2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.
CoRR, 2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
CoRR, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Proceedings of the International Conference on Machine Learning, 2023

Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network.
Knowl. Based Syst., 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022

CAT-MNER: Multimodal Named Entity Recognition with Knowledge-Refined Cross-Modal Attention.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PromptMNER: Prompt-Based Entity-Related Visual Clue Extraction and Integration for Multimodal Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2022

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
One-Stage Visual Grounding via Semantic-Aware Feature Filter.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021


  Loading...