1 citations · 1 across the 14 of their papers we have counts for
17 papers
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…
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…
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…
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…
EmbodiedUS-FS: Fast Slow Intelligence for Ultrasound Robotics
Fangzhuo Zhang, Xinyu Wang, Xiao Yang +1
Robotic ultrasound scanning in real clinical environments requires both high-level clinical workflow reasoning and low-level closed-loop execution. Physicians natural-language inst…
Interpretable Traffic Responsibility from Dashcam Video via Legal Multi Agent Reasoning
Jingchun Yang, Jinchang Zhang
The widespread adoption of dashcams has made video evidence in traffic accidents increasingly abundant, yet transforming "what happened in the video" into "who is responsible under…
Fractal Autoregressive Depth Estimation with Continuous Token Diffusion
Jinchang Zhang, Xinrou Kang, Guoyu Lu
Monocular depth estimation can benefit from autoregressive (AR) generation, but direct AR modeling is hindered by the modality gap between RGB and depth, inefficient pixel-wise gen…
Automated Genomic Interpretation via Concept Bottleneck Models for Medical Robotics
Zijun Li, Jinchang Zhang, Ming Zhang +1
We propose an automated genomic interpretation module that transforms raw DNA sequences into actionable, interpretable decisions suitable for integration into medical automation an…
Graph Integrated Multimodal Concept Bottleneck Model
Jiakai Lin, Jinchang Zhang, Guoyu Lu
With growing demand for interpretability in deep learning, especially in high stakes domains, Concept Bottleneck Models (CBMs) address this by inserting human understandable concep…
Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge Distillation
Jinchang Zhang, Zijun Li, Jiakai Lin +1
Event cameras offer advantages in object detection tasks due to high-speed response, low latency, and robustness to motion blur. However, event cameras lack texture and color infor…
3D Plant Root Skeleton Detection and Extraction
Jiakai Lin, Jinchang Zhang, Ge Jin +3
Plant roots typically exhibit a highly complex and dense architecture, incorporating numerous slender lateral roots and branches, which significantly hinders the precise capture an…
Vision-Language Embodiment for Monocular Depth Estimation
Jinchang Zhang, Guoyu Lu
Depth estimation is a core problem in robotic perception and vision tasks, but 3D reconstruction from a single image presents inherent uncertainties. Current depth estimation model…
Language-Depth Navigated Thermal and Visible Image Fusion
Jinchang Zhang, Zijun Li, Guoyu Lu
Depth-guided multimodal fusion combines depth information from visible and infrared images, significantly enhancing the performance of 3D reconstruction and robotics applications.…
Keypoint Detection and Description for Raw Bayer Images
Jiakai Lin, Jinchang Zhang, Guoyu Lu
Keypoint detection and local feature description are fundamental tasks in robotic perception, critical for applications such as SLAM, robot localization, feature matching, pose est…
Underground Mapping and Localization Based on Ground-Penetrating Radar
Jinchang Zhang, Guoyu Lu
3D object reconstruction based on deep neural networks has gained increasing attention in recent years. However, 3D reconstruction of underground objects to generate point cloud ma…
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
Jinchang Zhang, Ningning Xu, Hao Zhang +1
Depth estimation is a fundamental task in 3D geometry. While stereo depth estimation can be achieved through triangulation methods, it is not as straightforward for monocular metho…
Embodiment: Self-Supervised Depth Estimation Based on Camera Models
Jinchang Zhang, Praveen Kumar Reddy, Xue-Iuan Wong +2
Depth estimation is a critical topic for robotics and vision-related tasks. In monocular depth estimation, in comparison with supervised learning that requires expensive ground tru…