← Authors

Maks Ovsjanikov

43 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (58) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (23) πŸ† Keyword Champion (9) πŸ—ƒοΈ Keyword Collector (168) πŸ’Ž Century Club (43) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

CVPR (18) ICCV (11) NIPS (7) ECCV (4) ICLR (1) ICML (1) WACV (1)

Top co-authors

Souhaib Attaiki (6) Simone Melzi (4) Lei Li (4) Peter Wonka (4) Marie-Julie Rakotosaona (4) Panos Achlioptas (3) Emanuele RodolΓ  (3) Leonidas J. Guibas (3) Nicolas Donati (3) Abhishek Sharma (3)

Keywords

functional map (13) shape matching (9) 3d vision (8) shape correspondence (7) unsupervised learning (4) point cloud (4) non-rigid shape matching (4) 3d shape (4) semantic segmentation (3) transfer learning (3) zero-shot learning (3) geometry processing (3) non-rigid registration (3) 3d shape analysis (3) feature learning (3) diffusion model (3) shape reconstruction (2) generative model (2) affective computing (2) 3d reconstruction (2)

Papers

DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching ICCV 2025
AtomSurf: Surface Representation for Learning on Protein Structures ICLR 2025
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models ICCV 2025
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications ICCV 2025
LACONIC: A 3D Layout Adapter for Controllable Image Creation ICCV 2025
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space WACV 2025
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces CVPR 2025
Memory-Scalable and Simplified Functional Map Learning CVPR 2024
Self-Supervised Dual Contouring CVPR 2024
PoNQ: a Neural QEM-based Mesh Representation CVPR 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning ECCV 2024
DeBaRA: Denoising-Based 3D Room Arrangement Generation NIPS 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024
SATR: Zero-Shot Semantic Segmentation of 3D Shapes ICCV 2023
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams ICCV 2023
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction NIPS 2023
Spatially and Spectrally Consistent Deep Functional Maps ICCV 2023
Affection: Learning Affective Explanations for Real-World Visual Data CVPR 2023
Understanding and Improving Features Learned in Deep Functional Maps CVPR 2023
Generalizable Local Feature Pre-Training for Deformable Shape Analysis CVPR 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs ICML 2023
Physical Simulation Layer for Accurate 3D Modeling CVPR 2022
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching NIPS 2022
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching NIPS 2022
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching NIPS 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching CVPR 2022
Implicit Field Supervision for Robust Non-rigid Shape Matching ECCV 2022
DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds ICCV 2021
ArtEmis: Affective Language for Visual Art CVPR 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
PointTriNet: Learned Triangulation of 3D Point Sets ECCV 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation ECCV 2020
Correspondence learning via linearly-invariant embedding NIPS 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence CVPR 2020
Weakly Supervised Deep Functional Maps for Shape Matching NIPS 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