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Deep Medial Fields


Jun 07, 2021
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi


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COTR: Correspondence Transformer for Matching Across Images


Mar 25, 2021
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi


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Canonical Capsules: Unsupervised Capsules in Canonical Pose


Dec 08, 2020
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi

* The first two authors contributed equally to this work 

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DeRF: Decomposed Radiance Fields


Nov 25, 2020
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi


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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems


Apr 15, 2020
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

* 16 pages, Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.08071 

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VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning


Mar 25, 2020
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jincho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang


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Image Matching across Wide Baselines: From Paper to Practice


Mar 03, 2020
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls

* 19 pages, 25 figures 

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VoronoiNet: General Functional Approximators with Local Support


Dec 08, 2019
Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi


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Reducing the Human Effort in Developing PET-CT Registration


Nov 25, 2019
Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi


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Optimizing Through Learned Errors for Accurate Sports Field Registration


Sep 17, 2019
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi


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Beyond Cartesian Representations for Local Descriptors


Aug 15, 2019
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls


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Attentive Context Normalization for Robust Permutation-Equivariant Learning


Jul 04, 2019
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi


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Linearized Multi-Sampling for Differentiable Image Transformation


Jan 22, 2019
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi


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Self-Supervised Deep Active Accelerated MRI


Jan 14, 2019
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi


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MIST: Multiple Instance Spatial Transformer Network


Nov 26, 2018
Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi


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HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images


Aug 02, 2018
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi


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LF-Net: Learning Local Features from Images


May 24, 2018
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi


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Learning to Find Good Correspondences


May 21, 2018
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua

* CVPR 2018 (Oral) 

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Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses


Mar 26, 2018
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

* 25 pages 

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LIFT: Learned Invariant Feature Transform


Jul 29, 2016
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua

* Accepted to ECCV 2016 (spotlight) 

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Learning to Assign Orientations to Feature Points


Apr 11, 2016
Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit

* Accepted as Oral presentation in Computer Vision and Pattern Recognition, 2016 

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TILDE: A Temporally Invariant Learned DEtector


Mar 12, 2015
Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit


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