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Maks Ovsjanikov

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

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (58)
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)

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