Shenglong Ye

According to our database1, Shenglong Ye authored at least 15 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models.
CoRR, June, 2025

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces.
CoRR, June, 2025

Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings.
CoRR, May, 2025

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
CoRR, April, 2025

ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting.
CoRR, March, 2025

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.
CoRR, March, 2025

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Docopilot: Improving Multimodal Models for Document-Level Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance.
Vis. Intell., 2024

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
CoRR, 2024

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance.
CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
CoRR, 2024

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites.
Sci. China Inf. Sci., 2024

2023
Synthesizing a Large Scene with Multiple NeRFs.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2021
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021


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