5 citations · 7 across the 10 of their papers we have counts for
10 papers
Native-Domain Cross-Attention for Camera-LiDAR Extrinsic Calibration Under Large Initial Perturbations
Ni Ou, Zhuo Chen, Xinru Zhang +1
Accurate camera-LiDAR fusion relies on precise extrinsic calibration, which fundamentally depends on establishing reliable cross-modal correspondences under potentially large misal…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. The fusion of camera and LiDAR data addresses the limitations of individual sensors but relies on precise extrinsic…
Training Tactile Sensors to Learn Force Sensing from Each Other
Zhuo Chen, Ni Ou, Xuyang Zhang +8
Humans achieve stable and dexterous object manipulation by coordinating grasp forces across multiple fingers and palms, facilitated by a unified tactile memory system in the somato…
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Ni Ou, Zhuo Chen, Xinru Zhang +1
Cameras and LiDAR are essential sensors for autonomous vehicles. Camera-LiDAR data fusion compensate for deficiencies of stand-alone sensors but relies on precise extrinsic calibra…
TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation
Zhuo Chen, Ni Ou, Xuyang Zhang +1
Vision-based tactile sensors (VBTSs) provide high-resolution tactile images crucial for robot in-hand manipulation. However, force sensing in VBTSs is underutilized due to the cost…
Marker or Markerless? Mode-Switchable Optical Tactile Sensing for Diverse Robot Tasks
Ni Ou, Zhuo Chen, Shan Luo
Optical tactile sensors play a pivotal role in robot perception and manipulation tasks. The membrane of these sensors can be painted with markers or remain markerless, enabling the…
Deep Domain Adaptation Regression for Force Calibration of Optical Tactile Sensors
Zhuo Chen, Ni Ou, Jiaqi Jiang +1
Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact f…
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
Xinru Zhang, Ni Ou, Berke Doga Basaran +8
Brain lesion segmentation plays an essential role in neurological research and diagnosis. As brain lesions can be caused by various pathological alterations, different types of bra…
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang, Ni Ou, Chenghao Liu +3
Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not…
Visual-LiDAR Odometry and Mapping with Monocular Scale Correction and Visual Bootstrapping
Hanyu Cai, Ni Ou, Junzheng Wang
This paper presents a novel visual-LiDAR odometry and mapping method with low-drift characteristics. The proposed method is based on two popular approaches, ORB-SLAM and A-LOAM, wi…