Maks Ovsjanikov
48 papers · 2014–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Conference Loyalist
(23)
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Deep Specialist
(27)
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Keyword Champion
(9)
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Keyword Pioneer
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Topic Evolution
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(195)
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Trend Setter
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Century Club Β· Bronze
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Research topics
Computer Vision
(37)
Machine Learning
(27)
Analysis
(27)
Deep Learning
(21)
Core Methods
(14)
Learning Types Β· Machine Learning
(13)
Architectures
(11)
Artificial Intelligence
(8)
Generation
(8)
Learning Types Β· Deep Learning
(8)
Models
(7)
Core AI Β· Artificial Intelligence
(6)
Core AI Β· Computer Vision
(5)
Processing
(5)
Computer Science
(4)
Keywords
functional map
(13)
shape matching
(9)
3d vision
(8)
shape correspondence
(7)
point cloud
(6)
unsupervised learning
(4)
non-rigid shape matching
(4)
3d shape
(4)
zero-shot learning
(4)
non-rigid registration
(3)
geometry processing
(3)
graph neural network
(3)
feature learning
(3)
transfer learning
(3)
multimodal learning
(3)
diffusion model
(3)
semantic segmentation
(3)
self-supervised learning
(3)
3d shape analysis
(3)
contrastive learning
(2)
Papers
A Mixed Diet Makes DINO An Omnivorous Vision Encoder
CVPR 2026
FILTR: Extracting Topological Features from Pretrained 3D Models
CVPR 2026
PaNDaS: Learnable Shape Interpolation Modeling with Localized Control
CVPR 2026
PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding
CVPR 2026
Unique Lives, Shared World: Learning from Single-Life Videos
CVPR 2026
AtomSurf: Surface Representation for Learning on Protein Structures
ICLR 2025
DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching
ICCV 2025
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
CVPR 2025
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space
WACV 2025
LACONIC: A 3D Layout Adapter for Controllable Image Creation
ICCV 2025
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications
ICCV 2025
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models
ICCV 2025
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
CVPR 2024
DeBaRA: Denoising-Based 3D Room Arrangement Generation
NeurIPS 2024
Memory-Scalable and Simplified Functional Map Learning
CVPR 2024
PoNQ: a Neural QEM-based Mesh Representation
CVPR 2024
Self-Supervised Dual Contouring
CVPR 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning
ECCV 2024
Affection: Learning Affective Explanations for Real-World Visual Data
CVPR 2023
Generalizable Local Feature Pre-Training for Deformable Shape Analysis
CVPR 2023
SATR: Zero-Shot Semantic Segmentation of 3D Shapes
ICCV 2023
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
NeurIPS 2023
Spatially and Spectrally Consistent Deep Functional Maps
ICCV 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
ICML 2023
Understanding and Improving Features Learned in Deep Functional Maps
CVPR 2023
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
ICCV 2023
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching
CVPR 2022
Implicit Field Supervision for Robust Non-rigid Shape Matching
ECCV 2022
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
NeurIPS 2022
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching
NeurIPS 2022
Physical Simulation Layer for Accurate 3D Modeling
CVPR 2022
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
NeurIPS 2022
ArtEmis: Affective Language for Visual Art
CVPR 2021
DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds
ICCV 2021
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps
CVPR 2021
Learning Delaunay Surface Elements for Mesh Reconstruction
CVPR 2021
Physically-Aware Generative Network for 3D Shape Modeling
CVPR 2021
Correspondence learning via linearly-invariant embedding
NeurIPS 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
CVPR 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
ECCV 2020
PointTriNet: Learned Triangulation of 3D Point Sets
ECCV 2020
Weakly Supervised Deep Functional Maps for Shape Matching
NeurIPS 2020
Isospectralization, or How to Hear Shape, Style, and Correspondence
CVPR 2019
OperatorNet: Recovering 3D Shapes From Difference Operators
ICCV 2019
Unsupervised Deep Learning for Structured Shape Matching
ICCV 2019
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering
ICCV 2017
Persistence-based Structural Recognition
CVPR 2014
Unsupervised Multi-Class Joint Image Segmentation
CVPR 2014