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Alexander G. Schwing
副教授
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Alex's research is centered around machine learning and computer vision. He is particularly interested in algorithms for prediction with and learning of non-linear (deep nets), multivariate and structured distributions, and their application in numerous tasks, e.g., for 3D scene understanding from a single image.
Papers129 papers
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ICLR 2021, (2021)
Chiu Mang Tik,Xu Xingqian, Wang Kai, Hobbs Jennifer,Hovakimyan Naira,Huang Thomas S., Shi Honghui,Wei Yunchao,Huang Zilong,Schwing Alexander,Brunner Robert, Dozier Ivan
CVPR Workshops, pp.212-218, (2020)
NeurIPS, (2020)
european conference on computer vision, pp.288-313, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
CVPR, pp.8510-8519, (2020)
CVPR Workshops, pp.4383-4392, (2020)
european conference on computer vision, pp.715-732, (2020)
Unnat Jain,Luca Weihs, Eric Kolve,Ali Farhadi,Svetlana Lazebnik,Aniruddha Kembhavi,Alexander Schwing
european conference on computer vision, pp.471-490, (2020)
NIPS 2020, (2020)
Belayneh Dawit,Carminati Federico, Farbin Amir, Hooberman Benjamin, Khattak Gulrukh, Liu Miaoyuan, Liu Junze, Olivito Dominick, Pacela Vitória Barin,Pierini Maurizio,Schwing Alexander,Spiropulu Maria
EUROPEAN PHYSICAL JOURNAL C, no. 7 (2020): 688
Chiu Mang Tik,Xu Xingqian,Wei Yunchao,Huang Zilong,Schwing Alexander,Brunner Robert, Khachatrian Hrant,Karapetyan Hovnatan,Dozier Ivan,Rose Greg,Wilson David,Tudor Adrian
CVPR, pp.2825-2835, (2020)
ICASSP, pp.3672-3676, (2020)
CVPR Workshops, pp.3313-3323, (2020)
CoRL, pp.590-602, (2019)
ICCV, pp.7424-7433, (2019)
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