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Kaiming Kuang
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2020 – today
- 2024
- [j3]Ying Chen, Kaiming Kuang, Caicong Wu:
Trajectory classification to support effective and efficient field-road classification. PeerJ Comput. Sci. 10: e1945 (2024) - [j2]Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li:
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. IEEE Trans. Medical Imaging 43(1): 570-581 (2024) - [c7]Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang:
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CVPR 2024: 17952-17963 - [i10]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:
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge. CoRR abs/2402.09372 (2024) - [i9]Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang:
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CoRR abs/2402.14795 (2024) - 2023
- [c6]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. NeurIPS 2023 - [i8]Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang:
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. CoRR abs/2303.03625 (2023) - [i7]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. CoRR abs/2305.10764 (2023) - 2022
- [j1]Xiaoqiang Zhang, Ying Chen, Jiepeng Jia, Kaiming Kuang, Yubin Lan, Caicong Wu:
Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection. Comput. Electron. Agric. 200: 107263 (2022) - [c5]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang:
What Makes for Automatic Reconstruction of Pulmonary Segments. MICCAI (1) 2022: 495-505 - [c4]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. MICCAI (1) 2022: 664-674 - [i6]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang:
What Makes for Automatic Reconstruction of Pulmonary Segments. CoRR abs/2207.03078 (2022) - [i5]Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. CoRR abs/2208.02122 (2022) - [i4]Liang Jin, Shixuan Gu, Donglai Wei, Kaiming Kuang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li:
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. CoRR abs/2210.09309 (2022) - 2021
- [c3]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. MICCAI (5) 2021: 571-580 - [i3]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. CoRR abs/2109.08684 (2021) - 2020
- [c2]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. MICCAI (2) 2020: 211-220 - [c1]Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. MICCAI (6) 2020: 497-507 - [i2]Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. CoRR abs/2010.04049 (2020) - [i1]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. CoRR abs/2010.04062 (2020)
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last updated on 2024-12-04 20:13 CET by the dblp team
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