Kwang Moo Yi
42 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (7)
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Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(12)
🏠
Conference Loyalist
(20)
👥
Mega-Team
(34)
🤝
Dynamic Duo
(22)
🔬
Deep Specialist
(17)
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Prolific Year
(6)
📈
Trend Setter
💎
Century Club
(42)
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Conference Pioneer
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Keyword Collector
(193)
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Unstoppable
(8)
Conferences
CVPR (20)
ECCV (7)
ICCV (7)
NIPS (5)
WACV (3)
Top co-authors
Research topics
Keywords
3d reconstruction
(7)
neural field
(5)
neural radiance field
(4)
neural rendering
(4)
novel view synthesis
(4)
generative model
(4)
image registration
(3)
feature extraction
(3)
pose estimation
(3)
image reconstruction
(3)
feature matching
(3)
image generation
(3)
unsupervised learning
(3)
volumetric rendering
(3)
deep learning
(2)
scene representation
(2)
signal processing
(2)
computer graphics
(2)
few-shot learning
(2)
point cloud
(2)
Papers
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
CVPR 2025
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting
ICCV 2025
Radiant Foam: Real-Time Differentiable Ray Tracing
ICCV 2025
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction
CVPR 2024
Unsupervised Keypoints from Pretrained Diffusion Models
CVPR 2024
Volumetric Rendering with Baked Quadrature Fields
ECCV 2024
"PointNeRF++: A multi-scale, point-based Neural Radiance Field"
ECCV 2024
Lagrangian Hashing for Compressed Neural Field Representations
ECCV 2024
Accelerating Neural Field Training via Soft Mining
CVPR 2024
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
CVPR 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
CVPR 2024
3D Gaussian Splatting as Markov Chain Monte Carlo
NIPS 2024
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
ECCV 2024
NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds
WACV 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
NIPS 2023
BlendFields: Few-Shot Example-Driven Facial Modeling
CVPR 2023
Neural Fourier Filter Bank
CVPR 2023
FaceLit: Neural 3D Relightable Faces
CVPR 2023
Pointersect: Neural Rendering With Cloud-Ray Intersection
CVPR 2023
NeuMan: Neural Human Radiance Field from a Single Video
ECCV 2022
TUSK: Task-Agnostic Unsupervised Keypoints
NIPS 2022
Novel-View Synthesis of Human Tourist Photos
WACV 2022
CoNeRF: Controllable Neural Radiance Fields
CVPR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
LOLNerf: Learn From One Look
CVPR 2022
Layered Controllable Video Generation
ECCV 2022
COTR: Correspondence Transformer for Matching Across Images
ICCV 2021
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
NIPS 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
LF-Net: Learning Local Features from Images
NIPS 2018
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
ECCV 2018
Learning to Find Good Correspondences
CVPR 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