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Youngwook Paul Kwon

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2010 – 2019

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2019
[c5]
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  dblp key:
  - conf/ivs/ShinKT19
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Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka:
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement. IV 2019: 2510-2515
2018
[c4]
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Jinkyu Kim, Hyunggi Cho, Myung Hwangbo, Jaehyung Choi, John F. Canny, Youngwook Paul Kwon:
Deep Traffic Light Detection for Self-driving Cars from a Large-scale Dataset. ITSC 2018: 280-285
[i1]
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  - journals/corr/abs-1811-03818
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Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka:
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement. CoRR abs/1811.03818 (2018)
2017
[b1]
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Youngwook Paul Kwon:
Automated Registration of Image Pairs with Dramatically Inconsistent Appearance. University of California, Berkeley, USA, 2017
[c3]
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Donghan Lee, Youngwook Paul Kwon, Sara McMains, J. Karl Hedrick:
Convolution neural network-based lane change intention prediction of surrounding vehicles for ACC. ITSC 2017: 1-6
2016
[c2]
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  - conf/icip/KwonKKM16
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Youngwook Paul Kwon, Hyojin Kim, Goran Konjevod, Sara McMains:
Dude (Duality descriptor): A robust descriptor for disparate images using line segment duality. ICIP 2016: 310-314
2015
[c1]
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  - conf/lats/KwonM15
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Youngwook Paul Kwon, Sara McMains:
An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC. L@S 2015: 157-166

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