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Semantically Calibrated Evidence Composition for CT Vision-Language Learning
Guoliang You, Haifan Gong, Xiaomeng Chu
Learning transferable representations from CT-report pairs requires combining whole-volume context with anatomy-specific evidence. Existing methods typically emphasize either globa…
Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining
Guoliang You, Haifan Gong, Xiaomeng Chu
Volumetric CT vision-language pretraining learns 3D representations from scan-report pairs, but global and anatomy-aware objectives supervise only correspondence: they establish wh…
Fine-Grained Vision-Language Pretraining with Organ-Conditioned Pattern Tokens for CT Understanding
Guoliang You, Xiaomeng Chu
Computed tomography (CT) vision-language pretraining from paired volumes and radiology reports is a scalable yet challenging task. Existing methods commonly adopt global scan-repor…
Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge
Guoliang You, Hongming Li, Yuanwang Zhang +1
Medical vision-language pretraining (VLP) from paired CT images and radiology reports enables scalable representation learning, but most existing methods align either whole scans w…
ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors
Xingchen Li, LiDian Wang, Yu Sheng +6
Protecting power transmission lines from potential hazards involves critical tasks, one of which is the accurate measurement of distances between power lines and potential threats,…
RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion
Xiaomeng Chu, Jiajun Deng, Guoliang You +3
We propose Radar-Camera fusion transformer (RaCFormer) to boost the accuracy of 3D object detection by the following insight. The Radar-Camera fusion in outdoor 3D scene perception…
LFP: Efficient and Accurate End-to-End Lane-Level Planning via Camera-LiDAR Fusion
Guoliang You, Xiaomeng Chu, Yifan Duan +4
Multi-modal systems enhance performance in autonomous driving but face inefficiencies due to indiscriminate processing within each modality. Additionally, the independent feature l…
RayFormer: Improving Query-Based Multi-Camera 3D Object Detection via Ray-Centric Strategies
Xiaomeng Chu, Jiajun Deng, Guoliang You +3
The recent advances in query-based multi-camera 3D object detection are featured by initializing object queries in the 3D space, and then sampling features from perspective-view im…
Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures
Guoliang You, Xiaomeng Chu, Yifan Duan +6
When planning for autonomous driving, it is crucial to consider essential traffic elements such as lanes, intersections, traffic regulations, and dynamic agents. However, they are…
EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration
Xingchen Li, Yifan Duan, Beibei Wang +5
In multimodal perception systems, achieving precise extrinsic calibration between LiDAR and camera is of critical importance. Previous calibration methods often required specific t…
: Transferring Visual Representations for Reinforcement Learning via Prompting
Guoliang You, Xiaomeng Chu, Yifan Duan +4
It is important for deep reinforcement learning (DRL) algorithms to transfer their learned policies to new environments that have different visual inputs. In this paper, we introdu…