1 citations · 1 across the 10 of their papers we have counts for
12 papers
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 Surgical Robotic Manipulation with 3D Spatial Priors
Yu Sheng, Lidian Wang, Xiaomeng Chu +6
Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either explicitly reconstruct the…
S3R-GS: Streamlining the Pipeline for Large-Scale Street Scene Reconstruction
Guangting Zheng, Jiajun Deng, Xiaomeng Chu +3
Recently, 3D Gaussian Splatting (3DGS) has reshaped the field of photorealistic 3D reconstruction, achieving impressive rendering quality and speed. However, when applied to large-…
GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions
Xiaomeng Chu, Jiajun Deng, Guoliang You +4
Flexible instruction-guided 6-DoF grasping is a significant yet challenging task for real-world robotic systems. Existing methods utilize the contextual understanding capabilities…
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…
CELLmap: Enhancing LiDAR SLAM through Elastic and Lightweight Spherical Map Representation
Yifan Duan, Xinran Zhang, Yao Li +4
SLAM is a fundamental capability of unmanned systems, with LiDAR-based SLAM gaining widespread adoption due to its high precision. Current SLAM systems can achieve centimeter-level…
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…
Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration
Yifan Duan, Xinran Zhang, Guoliang You +8
Autonomous systems often employ multiple LiDARs to leverage the integrated advantages, enhancing perception and robustness. The most critical prerequisite under this setting is the…