Kwang Moo Yi

Orcid: 0000-0001-9036-3822

According to our database¹, Kwang Moo Yi authored at least 80 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2023

Attention Beats Concatenation for Conditioning Neural Fields.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

PointNeRF++: A multi-scale, point-based Neural Radiance Field.

[BibT_eX]

[DOI]

CoRR, 2023

Volumetric Rendering with Baked Quadrature Fields.

[BibT_eX]

[DOI]

CoRR, 2023

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerating Neural Field Training via Soft Mining.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Keypoints from Pretrained Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

INVE: Interactive Neural Video Editing.

[BibT_eX]

[DOI]

CoRR, 2023

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems.

[BibT_eX]

[DOI]

CoRR, 2023

CN-DHF: Compact Neural Double Height-Field Representations of 3D Shapes.

[BibT_eX]

[DOI]

CoRR, 2023

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Multi-purpose Video Annotation for Fast Labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Unsupervised Semantic Correspondence Using Stable Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Fourier Filter Bank.

[BibT_eX]

[DOI]

Zhijie Wu

Yuhe Jin

Kwang Moo Yi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FaceLit: Neural 3D Relightable Faces.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BlendFields: Few-Shot Example-Driven Facial Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pointersect: Neural Rendering with Cloud-Ray Intersection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Repurposing existing deep networks for caption and aesthetic-guided image cropping.

[BibT_eX]

[DOI]

Nora Horanyi

Kedi Xia

Kwang Moo Yi

Abhishake Kumar Bojja

Ales Leonardis

Hyung Jin Chang

Pattern Recognit., 2022

Estimating Visual Information From Audio Through Manifold Learning.

[BibT_eX]

[DOI]

CoRR, 2022

FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.

[BibT_eX]

[DOI]

Magdalena Bazalova-Carter

CoRR, 2022

Novel-View Synthesis of Human Tourist Photos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

TUSK: Task-Agnostic Unsupervised Keypoints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NeuMan: Neural Human Radiance Field from a Single Video.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Layered Controllable Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

LOLNeRF: Learn from One Look.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CoNeRF: Controllable Neural Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kubric: A scalable dataset generator.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset.

[BibT_eX]

[DOI]

Eric Hedlin

Helge Rhodin

Kwang Moo Yi

Proceedings of the 19th Conference on Robots and Vision, 2022

Bootstrapping Human Optical Flow and Pose.

[BibT_eX]

[DOI]

Aritro Roy Arko

Jim Little

Kwang Moo Yi

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Image Matching Across Wide Baselines: From Paper to Practice.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Deep Medial Fields.

[BibT_eX]

[DOI]

CoRR, 2021

Canonical Capsules: Self-Supervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

COTR: Correspondence Transformer for Matching Across Images.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DeRF: Decomposed Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MIST: Multiple Instance Spatial Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Canonical Capsules: Unsupervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

CoRR, 2020

Optimizing Through Learned Errors for Accurate Sports Field Registration.

[BibT_eX]

[DOI]

Wei Jiang

Juan Camilo Gamboa Higuera

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Improving Music Transcription by Pre-Stacking A U-Net.

[BibT_eX]

[DOI]

Fabrizio Pedersoli

George Tzanetakis

Kwang Moo Yi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

VoronoiNet : General Functional Approximators with Local Support.

[BibT_eX]

[DOI]

Francis Williams

Jérôme Parent-Lévesque

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

VoronoiNet: General Functional Approximators with Local Support.

[BibT_eX]

[DOI]

CoRR, 2019

Reducing the Human Effort in Developing PET-CT Registration.

[BibT_eX]

[DOI]

Magdalena Bazalova-Carter

Kwang Moo Yi

CoRR, 2019

Attentive Context Normalization for Robust Permutation-Equivariant Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Self-Supervised Deep Active Accelerated MRI.

[BibT_eX]

[DOI]

Kyong Hwan Jin

Michael Unser

Kwang Moo Yi

CoRR, 2019

Linearized Multi-Sampling for Differentiable Image Transformation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Beyond Cartesian Representations for Local Descriptors.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

[BibT_eX]

[DOI]

Abhishake Kumar Bojja

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018

Robust 3D Object Tracking from Monocular Images Using Stable Parts.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

MIST: Multiple Instance Spatial Transformer Network.

[BibT_eX]

[DOI]

CoRR, 2018

LF-Net: Learning Local Features from Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning to Find Good Correspondences.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Authoring and Living Next-Generation Location-Based Experiences.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Lightprobes for Mixed Reality Illumination.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, 2017

2016

LIFT: Learned Invariant Feature Transform.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Assign Orientations to Feature Points.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Erratum to: Visual tracking in complex scenes through pixel-wise tri-modeling.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2015

Visual tracking in complex scenes through pixel-wise tri-modeling.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2015

Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion.

[BibT_eX]

[DOI]

Image Vis. Comput., 2015

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

TILDE: A Temporally Invariant Learned DEtector.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Two-stage online inference model for traffic pattern analysis and anomaly detection.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2014

Tracking texture-less, shiny objects with descriptor fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014

Motion Interaction Field for Accident Detection in Traffic Surveillance Video.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

The Visual Object Tracking VOT2014 Challenge Results.

[BibT_eX]

[DOI]

Mario Edoardo Maresca

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Scale preserving PTZ tracking with size estimation using tilt sensory data.

[BibT_eX]

[DOI]

Byeong Ju Lee

Kwang Moo Yi

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013

Detection of moving objects with a moving camera using non-panoramic background model.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2013

Initialization-Insensitive Visual Tracking through Voting with Salient Local Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Action Chart: A Representation for Efficient Recognition of Complex Activity.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2013

2012

Multiple ground plane estimation for 3D scene understanding using a monocular camera.

[BibT_eX]

[DOI]

Proceedings of the Image and Vision Computing New Zealand, 2012

Visual tracking with dual modeling.

[BibT_eX]

[DOI]

Proceedings of the Image and Vision Computing New Zealand, 2012

2011

PIL-EYE: Integrated System for Sustainable Development of Intelligent Visual Surveillance Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010

Recovery Video Stabilization Using MRF-MAP Optimization.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing.

[BibT_eX]

[DOI]

Kwang Moo Yi

Soo Wan Kim

Jin Young Choi

Proceedings of the Computer Vision, 2009

2008

Orientation and scale invariant mean shift using object mask-based kernel.

[BibT_eX]

[DOI]

Kwang Moo Yi

Ho Seok Ahn

Jin Young Choi

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Kwang Moo Yi

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