Jan Eric Lenssen
25 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(11)
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(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Research topics
Deep Learning
(18)
Computer Vision
(15)
Analysis
(14)
Machine Learning
(12)
Core Methods
(9)
Models
(9)
Architectures
(7)
Generation
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Data Science & Analytics
(2)
Processing
(2)
Keywords
graph neural network
(6)
3d reconstruction
(6)
point cloud
(4)
semantic segmentation
(2)
neural rendering
(2)
image generation
(2)
diffusion model
(2)
weakly supervised learning
(2)
novel view synthesis
(2)
human-object interaction
(2)
neural radiance field
(2)
shape correspondence
(1)
dense matching
(1)
3d shape generation
(1)
motion synthesis
(1)
metric learning
(1)
graph classification
(1)
surface normal estimation
(1)
feature extraction
(1)
link prediction
(1)
Papers
MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation
CVPR 2026
Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation
CVPR 2026
SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
CVPR 2026
ContextGNN: Beyond Two-Tower Recommendation Systems
ICLR 2025
MET3R: Measuring Multi-View Consistency in Generated Images
CVPR 2025
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction Generation
CVPR 2025
Spatial Reasoning with Denoising Models
ICML 2025
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
ICLR 2025
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NeurIPS 2024
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
CVPR 2024
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
ECCV 2024
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
CVPR 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
CVPR 2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
CVPR 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NeurIPS 2024
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
CVPR 2024
SimNP: Learning Self-Similarity Priors Between Neural Points
ICCV 2023
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
ECCV 2022
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
ECCV 2022
Deep Iterative Surface Normal Estimation
CVPR 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
ECCV 2020
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
AAAI 2019
Group Equivariant Capsule Networks
NeurIPS 2018
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels
CVPR 2018