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Jonathan Chung-Kuan Huang
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Bio
I am particularly interested in core scene and video understanding (e.g. object detection, instance segmentation, tracking), weak/self supervised learning and generative models. I live in Seattle and work from Google's Fremont office.
At Stanford I was a member of the Geometric Computation Group which is headed by Leonidas Guibas. I was also part of the Lytics Lab, a multidisciplinary group focused on Learning Analytics.
At Stanford I was a member of the Geometric Computation Group which is headed by Leonidas Guibas. I was also part of the Lytics Lab, a multidisciplinary group focused on Learning Analytics.
Papers53 papers
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CVPR, pp.13072-13082, (2020)
CVPR, pp.14656-14666, (2020)
Nabiollah Kamyabi,Jonathan Huang, Jaewon J Lee, Vincent Bernard,Alexander Semaan, Bret Stephens, Mark W Hurd,Siva A Vanapalli,Anirban Maitra, Paola A Guerrero
BIOMICROFLUIDICS, no. 4 (2019): 044111
CVPR, pp.4610-4619, (2019)
international conference on learning representations, (2018)
Chenxi Liu, Barret Zoph,Jonathon Shlens,Wei Hua, Li-Jia Li,Li Fei-Fei,Alan L. Yuille,Jonathan Huang,Kevin Murphy
european conference on computer vision, (2018)
ECCV, (2018): 39-54
arXiv: Computation and Language, (2018)
ECCV, pp.318-335, (2018)
CoRR, (2017)
Jonathan Huang,Vivek Rathod,Chen Sun, Menglong Zhu,Anoop Korattikara,Alireza Fathi,Ian Fischer, Zbigniew Wojna,Yang Song,Sergio Guadarrama,Kevin Murphy
CVPR, (2017)
arXiv: Computer Vision and Pattern Recognition, (2017)
Code: github. com/tensorflow/models/tree/master/object detection, (2017)
Michael Figurnov,Maxwell D. Collins,Yukun Zhu,Li Zhang,Jonathan Huang,Dmitry P. Vetrov,Ruslan Salakhutdinov
CVPR, (2017)
J. Sel. Topics Signal Processing, no. 5 (2017): 713-715
computer vision and pattern recognition, (2016)
computer vision and pattern recognition, (2016)
CoRR, (2015)
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