Kwang Moo Yi
43 papers · 2013–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (64) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(21)
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Dynamic Duo
(23)
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Keyword Pioneer
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Deep Specialist
(18)
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(200)
Venues
Top co-authors
Research topics
Computer Vision
(30)
Deep Learning
(27)
Machine Learning
(27)
Analysis
(25)
Core Methods
(16)
Generation
(12)
Models
(12)
Architectures
(11)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(7)
Core AI Β· Computer Vision
(7)
Learning Types Β· Deep Learning
(7)
Core AI Β· Artificial Intelligence
(6)
Optimization & Theory
(6)
Computer Science
(5)
Keywords
3d reconstruction
(7)
novel view synthesis
(6)
neural field
(5)
generative model
(4)
neural rendering
(4)
neural radiance field
(4)
image registration
(3)
feature extraction
(3)
pose estimation
(3)
image reconstruction
(3)
volumetric rendering
(3)
image generation
(3)
unsupervised learning
(3)
3d gaussian splatting
(3)
feature matching
(3)
deep learning
(2)
scene representation
(2)
signal processing
(2)
computer graphics
(2)
few-shot learning
(2)
Papers
Semantic Foam: Unifying Spatial and Semantic Scene Decomposition
CVPR 2026
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
CVPR 2025
Radiant Foam: Real-Time Differentiable Ray Tracing
ICCV 2025
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting
ICCV 2025
3D Gaussian Splatting as Markov Chain Monte Carlo
NeurIPS 2024
Accelerating Neural Field Training via Soft Mining
CVPR 2024
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction
CVPR 2024
Lagrangian Hashing for Compressed Neural Field Representations
ECCV 2024
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
CVPR 2024
"PointNeRF++: A multi-scale, point-based Neural Radiance Field"
ECCV 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
ECCV 2024
Unsupervised Keypoints from Pretrained Diffusion Models
CVPR 2024
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
CVPR 2024
Volumetric Rendering with Baked Quadrature Fields
ECCV 2024
BlendFields: Few-Shot Example-Driven Facial Modeling
CVPR 2023
FaceLit: Neural 3D Relightable Faces
CVPR 2023
NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds
WACV 2023
Neural Fourier Filter Bank
CVPR 2023
Pointersect: Neural Rendering With Cloud-Ray Intersection
CVPR 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
NeurIPS 2023
CoNeRF: Controllable Neural Radiance Fields
CVPR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Layered Controllable Video Generation
ECCV 2022
LOLNerf: Learn From One Look
CVPR 2022
NeuMan: Neural Human Radiance Field from a Single Video
ECCV 2022
Novel-View Synthesis of Human Tourist Photos
WACV 2022
TUSK: Task-Agnostic Unsupervised Keypoints
NeurIPS 2022
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
NeurIPS 2021
COTR: Correspondence Transformer for Matching Across Images
ICCV 2021
DeRF: Decomposed Radiance Fields
CVPR 2021
MIST: Multiple Instance Spatial Transformer
CVPR 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
CVPR 2021
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
CVPR 2020
Optimizing Through Learned Errors for Accurate Sports Field Registration
WACV 2020
Beyond Cartesian Representations for Local Descriptors
ICCV 2019
Linearized Multi-Sampling for Differentiable Image Transformation
ICCV 2019
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
ECCV 2018
Learning to Find Good Correspondences
CVPR 2018
LF-Net: Learning Local Features from Images
NeurIPS 2018
Learning to Assign Orientations to Feature Points
CVPR 2016
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images
ICCV 2015
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features
ICCV 2013