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ORCIDKwang Moo Yi
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- unicode name: 이광무
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2020 – today
- 2020
[c28]Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops 2020: 1069-1073- [c27]Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. CVPR 2020: 11283-11292 - [c26]Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi:
Improving Music Transcription by Pre-Stacking A U-Net. ICASSP 2020: 506-510 - [c25]Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. WACV 2020: 201-210 - [i20]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. CoRR abs/2003.01587 (2020) - [i19]Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jincho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang:
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning. CoRR abs/2003.11249 (2020) - [i18]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR abs/2004.07931 (2020) - [i17]Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CoRR abs/2011.12490 (2020) - [i16]Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR abs/2012.04718 (2020)
2010 – 2019
- 2019
- [c24]Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi:
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. CRV 2019: 151-158 - [c23]Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk:
Beyond Cartesian Representations for Local Descriptors. ICCV 2019: 253-262 - [c22]Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. ICCV 2019: 2988-2997 - [i15]Kyong Hwan Jin, Michael Unser, Kwang Moo Yi:
Self-Supervised Deep Active Accelerated MRI. CoRR abs/1901.04547 (2019) - [i14]Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. CoRR abs/1901.07124 (2019) - [i13]Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi:
Attentive Context Normalization for Robust Permutation-Equivariant Learning. CoRR abs/1907.02545 (2019) - [i12]Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls:
Beyond Cartesian Representations for Local Descriptors. CoRR abs/1908.05547 (2019) - [i11]Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. CoRR abs/1909.08034 (2019) - [i10]Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi:
Reducing the Human Effort in Developing PET-CT Registration. CoRR abs/1911.10657 (2019) - [i9]Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. CoRR abs/1912.03629 (2019) - 2018
- [j6]Alberto Crivellaro
, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
Robust 3D Object Tracking from Monocular Images Using Stable Parts. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1465-1479 (2018) - [c21]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CVPR 2018: 2666-2674 - [c20]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) 2018: 792-807 - [c19]Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi:
LF-Net: Learning Local Features from Images. NeurIPS 2018: 6237-6247 - [i8]Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR abs/1803.08071 (2018) - [i7]Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi:
LF-Net: Learning Local Features from Images. CoRR abs/1805.09662 (2018) - [i6]Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi:
MIST: Multiple Instance Spatial Transformer Network. CoRR abs/1811.10725 (2018) - 2017
- [c18]David Mandl, Kwang Moo Yi, Peter Mohr, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen:
Learning Lightprobes for Mixed Reality Illumination. ISMAR 2017: 82-89 - [i5]Olivier Balet, Boriana Koleva, Jens Grubert, Kwang Moo Yi, Marco Gunia, Angelos Katsis, Julien Castet:
Authoring and Living Next-Generation Location-Based Experiences. CoRR abs/1709.01293 (2017) - [i4]Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. CoRR abs/1711.05971 (2017) - 2016
- [c17]Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit:
Learning to Assign Orientations to Feature Points. CVPR 2016: 107-116 - [c16]Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua:
LIFT: Learned Invariant Feature Transform. ECCV (6) 2016: 467-483 - [i3]Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua:
LIFT: Learned Invariant Feature Transform. CoRR abs/1603.09114 (2016) - 2015
- [j5]Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Shimin Yin, Songhwai Oh, Jin Young Choi:
Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion. Image Vis. Comput. 39: 23-37 (2015) - [j4]Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi:
Visual tracking in complex scenes through pixel-wise tri-modeling. Mach. Vis. Appl. 26(2-3): 205-217 (2015) - [j3]Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi:
Erratum to: Visual tracking in complex scenes through pixel-wise tri-modeling. Mach. Vis. Appl. 26(7-8): 1095 (2015) - [c15]Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
TILDE: A Temporally Invariant Learned DEtector. CVPR 2015: 5279-5288 - [c14]Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images. ICCV 2015: 4391-4399 - [c13]Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi:
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV 2015: 829-836 - [i2]Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit:
Learning to Assign Orientations to Feature Points. CoRR abs/1511.04273 (2015) - 2014
- [j2]Hawook Jeong, Young Joon Yoo, Kwang Moo Yi, Jin Young Choi:
Two-stage online inference model for traffic pattern analysis and anomaly detection. Mach. Vis. Appl. 25(6): 1501-1517 (2014) - [c12]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jin-Woo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c11]Kimin Yun, Hawook Jeong, Kwang Moo Yi, Soo Wan Kim, Jin Young Choi:
Motion Interaction Field for Accident Detection in Traffic Surveillance Video. ICPR 2014: 3062-3067 - [c10]Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
Tracking texture-less, shiny objects with descriptor fields. ISMAR 2014: 331-332 - [i1]Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
TILDE: A Temporally Invariant Learned DEtector. CoRR abs/1411.4568 (2014) - 2013
- [j1]Soo Wan Kim, Kimin Yun, Kwang Moo Yi, Sun Jung Kim, Jin Young Choi:
Detection of moving objects with a moving camera using non-panoramic background model. Mach. Vis. Appl. 24(5): 1015-1028 (2013) - [c9]Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi:
Action Chart: A Representation for Efficient Recognition of Complex Activity. BMVC 2013 - [c8]Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, Jin Young Choi:
Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device. CVPR Workshops 2013: 27-34 - [c7]Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi:
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV 2013: 2912-2919 - 2012
- [c6]Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi, Haan-Ju Yoo, Jin Young Choi:
Multiple ground plane estimation for 3D scene understanding using a monocular camera. IVCNZ 2012: 1-6 - [c5]Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Jin Young Choi:
Visual tracking with dual modeling. IVCNZ 2012: 25-30 - 2011
- [c4]Hyung Jin Chang, Kwang Moo Yi, Shimin Yin, Soo Wan Kim, Young Min Baek, Ho Seok Ahn, Jin Young Choi:
PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms. DICTA 2011: 231-236 - 2010
- [c3]Soo Wan Kim, Kwang Moo Yi, Songhwai Oh, Jin Young Choi:
Recovery Video Stabilization Using MRF-MAP Optimization. ICPR 2010: 2804-2807
2000 – 2009
- 2009
- [c2]Kwang Moo Yi, Soo Wan Kim, Jin Young Choi:
Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing. ACCV (2) 2009: 130-139 - 2008
- [c1]Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi:
Orientation and scale invariant mean shift using object mask-based kernel. ICPR 2008: 1-4
Coauthor Index
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