Kaiming Kuang

According to our database, Kaiming Kuang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.

Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li

IEEE Trans. Medical Imaging, January, 2024

Trajectory classification to support effective and efficient field-road classification.

Ying Chen, Kaiming Kuang, Caicong Wu

PeerJ Comput. Sci., 2024

CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation.

Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang

CoRR, 2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.

Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni

CoRR, 2024

2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

CoRR, 2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.

Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang

CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.

Liang Jin, Shixuan Gu, Donglai Wei, Kaiming Kuang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li

CoRR, 2022

Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection.

Xiaoqiang Zhang, Ying Chen, Jiepeng Jia, Kaiming Kuang, Yubin Lan, Caicong Wu

Comput. Electron. Agric., 2022

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection.

Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What Makes for Automatic Reconstruction of Pulmonary Segments.

Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Asymmetric 3D Context Fusion for Universal Lesion Detection.

Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study.

Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response.

Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020