Kwang Moo Yi

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 91

Top Venues

Publications

Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR (2024)
Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. CoRR (2024)
Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
Does Gaussian Splatting need SFM Initialization? CoRR (2024)
Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction. CoRR (2024)
Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models. CoRR (2023)
Zhijie Wu, Yuhe Jin, Kwang Moo Yi
Neural Fourier Filter Bank. CVPR (2023)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Semantic Correspondence Using Stable Diffusion. NeurIPS (2023)
Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
PointNeRF++: A multi-scale, point-based Neural Radiance Field. CoRR (2023)
Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee
INVE: Interactive Neural Video Editing. CoRR (2023)
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Accelerating Neural Field Training via Soft Mining. CoRR (2023)
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
FaceLit: Neural 3D Relightable Faces. CVPR (2023)
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR (2023)
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
Volumetric Rendering with Baked Quadrature Fields. CoRR (2023)
Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models. CoRR (2023)
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. WACV (2023)
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
Pointersect: Neural Rendering with Cloud-Ray Intersection. CoRR (2023)
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
FaceLit: Neural 3D Relightable Faces. CoRR (2023)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Semantic Correspondence Using Stable Diffusion. CoRR (2023)
Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. CoRR (2023)
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
Pointersect: Neural Rendering with Cloud-Ray Intersection. CVPR (2023)
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR (2023)
Eric Hedlin, Jinfan Yang, Nicholas Vining, Kwang Moo Yi, Alla Sheffer
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes. CoRR (2023)
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
Unsupervised Keypoints from Pretrained Diffusion Models. CoRR (2023)
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. 2023 (2023)
Mobina Mobaraki, Soodeh Ahani, Kwang Moo Yi, Mahyar Asadi, Klaske van Heusden, Guy Albert Dumont
Efficient Multi-purpose Video Annotation for Fast Labeling. VCIP (2023)
Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris
PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems. CoRR (2023)
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
CoNeRF: Controllable Neural Radiance Fields. CVPR (2022)
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
Attention Beats Concatenation for Conditioning Neural Fields. CoRR (2022)
Zhijie Wu, Yuhe Jin, Kwang Moo Yi
Neural Fourier Filter Bank. CoRR (2022)
Aritro Roy Arko, Jim Little, Kwang Moo Yi
Bootstrapping Human Optical Flow and Pose. BMVC (2022)
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
TUSK: Task-Agnostic Unsupervised Keypoints. NeurIPS (2022)
Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging. CoRR (2022)
Aritro Roy Arko, James J. Little, Kwang Moo Yi
Bootstrapping Human Optical Flow and Pose. CoRR (2022)
Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping. CoRR (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CVPR (2022)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
NeuMan: Neural Human Radiance Field from a Single Video. CoRR (2022)
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
LOLNeRF: Learn from One Look. CVPR (2022)
Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang
Novel-View Synthesis of Human Tourist Photos. WACV (2022)
Eric Hedlin, Helge Rhodin, Kwang Moo Yi
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. CRV (2022)
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. CoRR (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CoRR (2022)
Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang
Repurposing existing deep networks for caption and aesthetic-guided image cropping. Pattern Recognit. 126 (2022)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
NeuMan: Neural Human Radiance Field from a Single Video. ECCV (32) (2022)
Eric Hedlin, Helge Rhodin, Kwang Moo Yi
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. CoRR (2022)
Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi
Estimating Visual Information From Audio Through Manifold Learning. CoRR (2022)
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
TUSK: Task-Agnostic Unsupervised Keypoints. CoRR (2022)
Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
Layered Controllable Video Generation. ECCV (16) (2022)
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
CoNeRF: Controllable Neural Radiance Fields. CoRR (2021)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
DeRF: Decomposed Radiance Fields. CVPR (2021)
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
COTR: Correspondence Transformer for Matching Across Images. CoRR (2021)
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. CVPR (2021)
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. 129 (2) (2021)
Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi
MIST: Multiple Instance Spatial Transformer. CVPR (2021)
Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
LOLNeRF: Learn from One Look. CoRR (2021)
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
COTR: Correspondence Transformer for Matching Across Images. ICCV (2021)
Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
Layered Controllable Video Generation. CoRR (2021)
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
Canonical Capsules: Self-Supervised Capsules in Canonical Pose. NeurIPS (2021)
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Deep Medial Fields. CoRR (2021)
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)
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 (2020)
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR (2020)
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
DeRF: Decomposed Radiance Fields. CoRR (2020)
Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi
Improving Music Transcription by Pre-Stacking A U-Net. ICASSP (2020)
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. CVPR (2020)
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 (2020)
Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops (2020)
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 (2020)
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
Self-Supervised Deep Active Accelerated MRI. CoRR (2019)
Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk
Beyond Cartesian Representations for Local Descriptors. ICCV (2019)
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
Linearized Multi-Sampling for Differentiable Image Transformation. CoRR (2019)
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls
Beyond Cartesian Representations for Local Descriptors. CoRR (2019)
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)
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 (2019)
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
Attentive Context Normalization for Robust Permutation-Equivariant Learning. CoRR (2019)
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 (2019)
Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
VoronoiNet: General Functional Approximators with Local Support. CoRR (2019)
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
Linearized Multi-Sampling for Differentiable Image Transformation. ICCV (2019)
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
LF-Net: Learning Local Features from Images. NeurIPS (2018)
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
LF-Net: Learning Local Features from Images. CoRR (2018)
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)
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) (2018)
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
Learning to Find Good Correspondences. CVPR (2018)
Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi
MIST: Multiple Instance Spatial Transformer Network. CoRR (2018)
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 (2018)
Olivier Balet, Boriana Koleva, Jens Grubert, Kwang Moo Yi, Marco Gunia, Angelos Katsis, Julien Castet
Authoring and Living Next-Generation Location-Based Experiences. CoRR (2017)
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
Learning to Find Good Correspondences. CoRR (2017)
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)
Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit
Learning to Assign Orientations to Feature Points. CVPR (2016)
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua
LIFT: Learned Invariant Feature Transform. CoRR (2016)
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua
LIFT: Learned Invariant Feature Transform. ECCV (6) (2016)
Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
TILDE: A Temporally Invariant Learned DEtector. CVPR (2015)
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) (2015)
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) (2015)
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)
Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit
Learning to Assign Orientations to Feature Points. CoRR (2015)
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 (2015)
Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV (2015)
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) (2014)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kwang Moo Yi