Kwang Moo Yi

145 papers A* 33A 6B 4C 1Misc 4Journal 81Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
FullCircle: Effortless 3D Reconstruction from Casual 360
CoRR
Yalda Foroutan, Ipek Oztas, Daniel Rebain, Aysegul Dundar, Kwang Moo Yi, Lily Goli, Andrea Tagliasacchi
2026 J jnl
Making Video Models Adhere to User Intent with Minor Adjustments.
CoRR
Daniel Ajisafe, Eric Hedlin, Helge Rhodin, Kwang Moo Yi
2026 J jnl
Making Video Models Adhere to User Intent with Minor Adjustments.
Trans. Mach. Learn. Res.
Daniel Ajisafe, Eric Hedlin, Helge Rhodin, Kwang Moo Yi
2025 J jnl
Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification.
IEEE Access
A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi
2025 A* conf
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories.
CVPR
Eric Hedlin, Munawar Hayat, Fatih Porikli, Kwang Moo Yi, Shweta Mahajan
2025 — conf
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo.
3DV
Wei Zhi Tang, Daniel Rebain, Konstantinos G. Derpanis, Kwang Moo Yi
2025 J jnl
NESI: Neural Explicit-Shape-Intersection-Based Geometry Representation.
ACM Trans. Graph.
Congyi Zhang, Jinfan Yang, Eric Hedlin, Suzuran Takikawa, Nicholas Vining, Kwang Moo Yi, Wenping Wang, Alla Sheffer
2025 J jnl
Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics.
CoRR
Shunyuan Mao, Weiqi Wang, Sifan Wang, Ruobing Dong, Lu Lu, Kwang Moo Yi, Paris Perdikaris, Andrea Isella, Sébastien Fabbro, Lile Wang
2025 — conf
NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization.
3DV
Zhen (Colin) Li, Weiwei Sun, Shrisudhan Govindarajan, Shaobo Xia, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025 J jnl
NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization.
CoRR
Zhen Li, Weiwei Sun, Shrisudhan Govindarajan, Shaobo Xia, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025 J jnl
ROODI: Reconstructing Occluded Objects with Denoising Inpainters.
CoRR
Yeonjin Chang, Erqun Dong, Seunghyeon Seo, Nojun Kwak, Kwang Moo Yi
2025 J jnl
Radiant Foam: Real-Time Differentiable Ray Tracing.
CoRR
Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2025 J jnl
SONIC: Spectral Optimization of Noise for Inpainting with Consistency.
CoRR
Seungyeon Baek, Erqun Dong, Shadan Namazifard, Mark J. Matthews, Kwang Moo Yi
2025 J jnl
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting.
CoRR
Shakiba Kheradmand, Delio Vicini, George Kopanas, Dmitry Lagun, Kwang Moo Yi, Mark J. Matthews, Andrea Tagliasacchi
2024 A* conf
3D Gaussian Splatting as Markov Chain Monte Carlo.
NeurIPS
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024 J jnl
3D Gaussian Splatting as Markov Chain Monte Carlo.
CoRR
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024 A* conf
Accelerating Neural Field Training via Soft Mining.
CVPR
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2024 A* conf
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction.
CVPR
Akhmedkhan Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024 J jnl
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction.
CoRR
Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024 J jnl
Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems.
CoRR
Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang, Paris Perdikaris
2024 J jnl
Does Gaussian Splatting need SFM Initialization?
CoRR
Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2024 J jnl
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories.
CoRR
Eric Hedlin, Munawar Hayat, Fatih Porikli, Kwang Moo Yi, Shweta Mahajan
2024 J jnl
Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models.
CoRR
Hyesong Choi, Daeun Kim, Sungmin Cha, Kwang Moo Yi, Dongbo Min
2024 J jnl
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo.
CoRR
Wei Zhi Tang, Daniel Rebain, Konstantinos G. Derpanis, Kwang Moo Yi
2024 — conf
Lagrangian Hashing for Compressed Neural Field Representations.
ECCV (27)
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
2024 J jnl
Lagrangian Hashing for Compressed Neural Field Representations.
CoRR
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi
2024 J jnl
NESI: Shape Representation via Neural Explicit Surface Intersection.
CoRR
Congyi Zhang, Jinfan Yang, Eric Hedlin, Suzuran Takikawa, Nicholas Vining, Kwang Moo Yi, Wenping Wang, Alla Sheffer
2024 A* conf
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space.
CVPR
Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2024 — conf
PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field.
ECCV (38)
Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
2024 A* conf
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models.
CVPR
Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal
2024 — conf
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training.
ECCV (78)
Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
2024 J jnl
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training.
CoRR
Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
2024 A* conf
Unsupervised Keypoints from Pretrained Diffusion Models.
CVPR
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2024 A* conf
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models.
CVPR
Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi
2024 — conf
Volumetric Rendering with Baked Quadrature Fields.
ECCV (63)
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2023 J jnl
Accelerating Neural Field Training via Soft Mining.
CoRR
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023 J jnl
Attention Beats Concatenation for Conditioning Neural Fields.
Trans. Mach. Learn. Res.
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
2023 A* conf
BlendFields: Few-Shot Example-Driven Facial Modeling.
CVPR
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023 J jnl
BlendFields: Few-Shot Example-Driven Facial Modeling.
CoRR
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023 J jnl
CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes.
CoRR
Eric Hedlin, Jinfan Yang, Nicholas Vining, Kwang Moo Yi, Alla Sheffer
2023 J jnl
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation.
CoRR
Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun
2023 C conf
Efficient Multi-purpose Video Annotation for Fast Labeling.
VCIP
Mobina Mobaraki, Soodeh Ahani, Kwang Moo Yi, Mahyar Asadi, Klaske van Heusden, Guy Albert Dumont
2023 A* conf
FaceLit: Neural 3D Relightable Faces.
CVPR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 J jnl
FaceLit: Neural 3D Relightable Faces.
CoRR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 J jnl
INVE: Interactive Neural Video Editing.
CoRR
Jiahui Huang, Leonid Sigal, Kwang Moo Yi, Oliver Wang, Joon-Young Lee
2023 A* conf
Neural Fourier Filter Bank.
CVPR
Zhijie Wu, Yuhe Jin, Kwang Moo Yi
2023 A conf
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.
WACV
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2023 J jnl
PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems.
CoRR
Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris
2023 J jnl
PointNeRF++: A multi-scale, point-based Neural Radiance Field.
CoRR
Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi
2023 A* conf
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CVPR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CoRR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models.
CoRR
Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal
2023 J jnl
Unsupervised Keypoints from Pretrained Diffusion Models.
CoRR
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi
2023 A* conf
Unsupervised Semantic Correspondence Using Stable Diffusion.
NeurIPS
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023 J jnl
Unsupervised Semantic Correspondence Using Stable Diffusion.
CoRR
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
2023 J jnl
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models.
CoRR
Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi
2023 J jnl
Volumetric Rendering with Baked Quadrature Fields.
CoRR
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
2022 — conf
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset.
CRV
Eric Hedlin, Helge Rhodin, Kwang Moo Yi
2022 J jnl
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset.
CoRR
Eric Hedlin, Helge Rhodin, Kwang Moo Yi
2022 J jnl
Attention Beats Concatenation for Conditioning Neural Fields.
CoRR
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi
2022 A conf
Bootstrapping Human Optical Flow and Pose.
BMVC
Aritro Roy Arko, Jim Little, Kwang Moo Yi
2022 J jnl
Bootstrapping Human Optical Flow and Pose.
CoRR
Aritro Roy Arko, James J. Little, Kwang Moo Yi
2022 A* conf
CoNeRF: Controllable Neural Radiance Fields.
CVPR
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2022 J jnl
Estimating Visual Information From Audio Through Manifold Learning.
CoRR
Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi
2022 J jnl
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.
CoRR
Teaghan O'Briain, Carlos Uribe, Kwang Moo Yi, Jonas Teuwen, Ioannis Sechopoulos, Magdalena Bazalova-Carter
2022 A* conf
Kubric: A scalable dataset generator.
CVPR
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
2022 J jnl
Kubric: A scalable dataset generator.
CoRR
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
2022 A* conf
LOLNeRF: Learn from One Look.
CVPR
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
2022 — conf
Layered Controllable Video Generation.
ECCV (16)
Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
2022 — conf
NeuMan: Neural Human Radiance Field from a Single Video.
ECCV (32)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
2022 J jnl
NeuMan: Neural Human Radiance Field from a Single Video.
CoRR
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
2022 J jnl
Neural Fourier Filter Bank.
CoRR
Zhijie Wu, Yuhe Jin, Kwang Moo Yi
2022 J jnl
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.
CoRR
Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2022 A conf
Novel-View Synthesis of Human Tourist Photos.
WACV
Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang
2022 J jnl
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping.
CoRR
Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang
2022 J jnl
Repurposing existing deep networks for caption and aesthetic-guided image cropping.
Pattern Recognit.
Nora Horanyi, Kedi Xia, Kwang Moo Yi, Abhishake Kumar Bojja, Ales Leonardis, Hyung Jin Chang
2022 A* conf
TUSK: Task-Agnostic Unsupervised Keypoints.
NeurIPS
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
2022 J jnl
TUSK: Task-Agnostic Unsupervised Keypoints.
CoRR
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
2021 A* conf
COTR: Correspondence Transformer for Matching Across Images.
ICCV
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
2021 J jnl
COTR: Correspondence Transformer for Matching Across Images.
CoRR
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
2021 A* conf
Canonical Capsules: Self-Supervised Capsules in Canonical Pose.
NeurIPS
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2021 J jnl
CoNeRF: Controllable Neural Radiance Fields.
CoRR
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2021 A* conf
DeRF: Decomposed Radiance Fields.
CVPR
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2021 J jnl
Deep Medial Fields.
CoRR
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
2021 J jnl
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2021 J jnl
Image Matching Across Wide Baselines: From Paper to Practice.
Int. J. Comput. Vis.
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
2021 J jnl
LOLNeRF: Learn from One Look.
CoRR
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi
2021 J jnl
Layered Controllable Video Generation.
CoRR
Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal
2021 A* conf
MIST: Multiple Instance Spatial Transformer.
CVPR
Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi
2021 A* conf
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning.
CVPR
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang
2020 A* conf
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning.
CVPR
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
2020 J jnl
Canonical Capsules: Unsupervised Capsules in Canonical Pose.
CoRR
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2020 J jnl
DeRF: Decomposed Radiance Fields.
CoRR
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
2020 J jnl
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
CoRR
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2020 J jnl
Image Matching across Wide Baselines: From Paper to Practice.
CoRR
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
2020 Misc conf
Improving Music Transcription by Pre-Stacking A U-Net.
ICASSP
Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi
2020 A conf
Optimizing Through Learned Errors for Accurate Sports Field Registration.
WACV
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi
2020 J jnl
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning.
CoRR
Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang
2020 — conf
VoronoiNet : General Functional Approximators with Local Support.
CVPR Workshops
Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
2019 J jnl
Attentive Context Normalization for Robust Permutation-Equivariant Learning.
CoRR
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
2019 A* conf
Beyond Cartesian Representations for Local Descriptors.
ICCV
Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk
2019 J jnl
Beyond Cartesian Representations for Local Descriptors.
CoRR
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls
2019 — conf
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images.
CRV
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi
2019 A* conf
Linearized Multi-Sampling for Differentiable Image Transformation.
ICCV
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
2019 J jnl
Linearized Multi-Sampling for Differentiable Image Transformation.
CoRR
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
2019 J jnl
Optimizing Through Learned Errors for Accurate Sports Field Registration.
CoRR
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi
2019 J jnl
Reducing the Human Effort in Developing PET-CT Registration.
CoRR
Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi
2019 J jnl
Self-Supervised Deep Active Accelerated MRI.
CoRR
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
2019 J jnl
VoronoiNet: General Functional Approximators with Local Support.
CoRR
Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi
2018 — conf
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.
ECCV (5)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018 J jnl
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses.
CoRR
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018 A* conf
LF-Net: Learning Local Features from Images.
NeurIPS
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
2018 J jnl
LF-Net: Learning Local Features from Images.
CoRR
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
2018 A* conf
Learning to Find Good Correspondences.
CVPR
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
2018 J jnl
MIST: Multiple Instance Spatial Transformer Network.
CoRR
Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi
2018 J jnl
Robust 3D Object Tracking from Monocular Images Using Stable Parts.
IEEE Trans. Pattern Anal. Mach. Intell.
Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
2017 J jnl
Authoring and Living Next-Generation Location-Based Experiences.
CoRR
Olivier Balet, Boriana Koleva, Jens Grubert, Kwang Moo Yi, Marco Gunia, Angelos Katsis, Julien Castet
2017 A* conf
Learning Lightprobes for Mixed Reality Illumination.
ISMAR
David Mandl, Kwang Moo Yi, Peter Mohr, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen
2017 J jnl
Learning to Find Good Correspondences.
CoRR
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua
2016 — conf
LIFT: Learned Invariant Feature Transform.
ECCV (6)
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua
2016 J jnl
LIFT: Learned Invariant Feature Transform.
CoRR
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua
2016 A* conf
Learning to Assign Orientations to Feature Points.
CVPR
Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit
2015 A* conf
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images.
ICCV
Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
2015 A conf
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception.
WACV
Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi
2015 J jnl
Erratum to: Visual tracking in complex scenes through pixel-wise tri-modeling.
Mach. Vis. Appl.
Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi
2015 J jnl
Learning to Assign Orientations to Feature Points.
CoRR
Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit
2015 A* conf
TILDE: A Temporally Invariant Learned DEtector.
CVPR
Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
2015 J jnl
Visual tracking in complex scenes through pixel-wise tri-modeling.
Mach. Vis. Appl.
Kwang Moo Yi, Hawook Jeong, Byeongju Lee, Jin Young Choi
2015 J jnl
Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion.
Image Vis. Comput.
Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Shimin Yin, Songhwai Oh, Jin Young Choi
2014 B conf
Motion Interaction Field for Accident Detection in Traffic Surveillance Video.
ICPR
Kimin Yun, Hawook Jeong, Kwang Moo Yi, Soo Wan Kim, Jin Young Choi
2014 B conf
Scale preserving PTZ tracking with size estimation using tilt sensory data.
AVSS
Byeong Ju Lee, Kwang Moo Yi
2014 J jnl
TILDE: A Temporally Invariant Learned DEtector.
CoRR
Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
2014 — conf
The Visual Object Tracking VOT2014 Challenge Results.
ECCV Workshops (2)
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, Jinwoo 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
2014 A* conf
Tracking texture-less, shiny objects with descriptor fields.
ISMAR
Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
2014 J jnl
Two-stage online inference model for traffic pattern analysis and anomaly detection.
Mach. Vis. Appl.
Hawook Jeong, Young Joon Yoo, Kwang Moo Yi, Jin Young Choi
2013 A conf
Action Chart: A Representation for Efficient Recognition of Complex Activity.
BMVC
Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi
2013 — conf
Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device.
CVPR Workshops
Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, Jin Young Choi
2013 J jnl
Detection of moving objects with a moving camera using non-panoramic background model.
Mach. Vis. Appl.
Soo Wan Kim, Kimin Yun, Kwang Moo Yi, Sun Jung Kim, Jin Young Choi
2013 A* conf
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features.
ICCV
Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi
2012 Misc conf
Multiple ground plane estimation for 3D scene understanding using a monocular camera.
IVCNZ
Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi, Haan-Ju Yoo, Jin Young Choi
2012 Misc conf
Visual tracking with dual modeling.
IVCNZ
Kwang Moo Yi, Hawook Jeong, Soo Wan Kim, Jin Young Choi
2011 Misc conf
PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms.
DICTA
Hyung Jin Chang, Kwang Moo Yi, Shimin Yin, Soo Wan Kim, Young Min Baek, Ho Seok Ahn, Jin Young Choi
2010 B conf
Recovery Video Stabilization Using MRF-MAP Optimization.
ICPR
Soo Wan Kim, Kwang Moo Yi, Songhwai Oh, Jin Young Choi
2009 — conf
Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing.
ACCV (2)
Kwang Moo Yi, Soo Wan Kim, Jin Young Choi
2008 B conf
Orientation and scale invariant mean shift using object mask-based kernel.
ICPR
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi