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Bio
we had a series of work that started the field of 3D deep learning (PointNet, PointNet++ and Multi-View/Volumetric CNNs) and explored their various applications for 3D scene understanding (detection, segmentation, scene flow, shape synthesis). Such models have been widely used in both academia and industry (autonomous driving, augmented reality and robotics).
Research Interests
Papers共 48 篇Author StatisticsCo-AuthorSimilar Experts
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Chen Kan,Ge Runzhou,Qiu Hang,Al-Rfou Rami,Qi Charles Ruizhongtai,Zhou Xuanyu,Yang Zoey Zeyu,Ettinger Scott,Sun Pei,Leng Zhaoqi, Baniodeh Mustafa, Bogun Ivan,
ICRA 2024 (2024)
Norman Mu,Jingwei Ji,Zhenpei Yang, Nathan Harada,Haotian Tang,Kan Chen,Charles R. Qi,Runzhou Ge,Kratarth Goel,Zoey Yang,Scott Ettinger,Rami Al-Rfou,
CVPR 2024 (2024)
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CVPR 2023 (2023): 20637-20647
CVPR 2023 (2023): 9329-9339
Charles Qi, Yi Wang,Hui Wang,Yang Lu, Shiva Shankar Subramanian, Finola Cahill, Conall Tuohy,Victor Li,Xu Qian,Darren Crews,Ling Wang,Shivaji Roy,
arXiv (Cornell University) (2023)
CVPR 2023 (2023): 4913-4926
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 8568-8578
European Conference on Computer Vision (2022): 158-175
European Conference on Computer Vision (2022): 158-175
Computer Vision – ECCV 2022 (2022): 424-443
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