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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

Text-Aided Multi-Modal Panoptic Symbol Spotting for CAD Floor Plan Drawings

Yan Gong, Bohao Li, Bowen Du +1

The paper introduces TextCAD, a multimodal system that jointly processes graphical primitives and textual annotations in CAD floor plan drawings to improve panoptic symbol spotting…

cs.LG2026

A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs

Bohao Li, Tao Zou, Junchen Ye +2

Deep learning-based modeling of multimodal Electronic Health Records (EHRs) has become an important approach for clinical diagnosis and risk prediction. However, due to diverse cli…

cs.LG2026

Incident-Guided Spatiotemporal Traffic Forecasting

Lixiang Fan, Bohao Li, Tao Zou +2

Recent years have witnessed the rapid development of deep-learning-based, graph-neural-network-based forecasting methods for modern intelligent transportation systems. However, mos…

cs.CV2026

CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation

Bohao Li, Zhicheng Cao, Huixian Li +1

State-of-the-art whole-body pose estimators often lack robustness, producing anatomically implausible predictions in challenging scenes. We posit this failure stems from spurious c…

cs.CV2025

Text-Enhanced Panoptic Symbol Spotting in CAD Drawings

Xianlin Liu, Yan Gong, Bohao Li +4

With the widespread adoption of Computer-Aided Design(CAD) drawings in engineering, architecture, and industrial design, the ability to accurately interpret and analyze these drawi…