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20242026
most citedUnderground Mapping and Localization Based on Ground-Penetrating Radar

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2026

CellSplat4D: PSF-Aware 4D Gaussian Splatting for Sparse Robotic Live-Cell Imaging

Yingda Tao, Guoyu Lu

A robotic microscope watching living cells cannot afford to look as often as it would like. Every volume it acquires costs photons the specimen does not get back, and time owed to…

cs.CV2026

Seeing, Saying, but Not Using: From Reportable Spatial Facts to Usable States in Multimodal Large Language Models

Jinchang Zhang, Guoyu Lu

A multimodal large language model that correctly reports a spatial fact does not necessarily use that fact in subsequent reasoning. To study this distinction, we introduce \textsc{…

cs.CV2026

EngIntervene: Benchmarking Multimodal Engineering State Understanding and Design Intervention Reasoning

Jinchang Zhang, Yingda Tao, Jiakai Lin +1

Multimodal engineering benchmarks largely evaluate static understanding, such as recognizing components, interpreting diagrams, or answering technical questions. This leaves a miss…

cs.CV2026

Semantic Privacy Protection with Utility Preservation for 3D Point Clouds

Jinchang zhang, Jiakai Lin, David Crandall +1

Point cloud data face serious semantic privacy risks during acquisition, transmission, and cross-institutional sharing. Existing methods mostly rely on geometric perturbation or de…

cs.RO2026

When Do Learned Priors Help Visual Inertial Estimation? A Controlled Study of Prior Integration, Calibration, Initialization, and Backend Consistency

Jinchang Zhang, Guoyu Lu

Learned components are increasingly integrated into geometric visual--inertial estimators to provide motion, depth, bias, uncertainty, or confidence cues. Yet it remains unclear wh…

cs.CV2026

Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis

Jiakai Lin, Zijun Li, Guoyu Lu

Plant root phenotyping is fundamental to understanding below-ground structures, optimizing crop management, and improving agricultural sustainability. This paper presents a multimo…

cs.CV2026

Foundation-Assisted Active Learning for Object Detection Annotation

Jinchang Zhang, Arnold Zumbrun, Jing Lin +1

The annotation cost for remote sensing object detection is high, while existing active learning methods still face several challenges in object detection scenarios, including the c…