Jan Eric Lenssen
22 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (8)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(33)
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(9)
π
Century Club
(22)
ποΈ
Keyword Collector
(94)
Conferences
CVPR (9)
ECCV (4)
NIPS (3)
ICLR (2)
ICML (2)
AAAI (1)
ICCV (1)
Top co-authors
Research topics
Keywords
3d reconstruction
(5)
graph neural network
(4)
point cloud
(3)
human-object interaction
(2)
novel view synthesis
(2)
diffusion model
(2)
neural rendering
(2)
neural radiance field
(2)
image generation
(2)
pose estimation
(1)
3d shape generation
(1)
shape correspondence
(1)
weakly supervised learning
(1)
data augmentation
(1)
domain adaptation
(1)
image segmentation
(1)
dense matching
(1)
hand pose estimation
(1)
motion synthesis
(1)
surface normal estimation
(1)
Papers
Spatial Reasoning with Denoising Models
ICML 2025
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction Generation
CVPR 2025
MET3R: Measuring Multi-View Consistency in Generated Images
CVPR 2025
ContextGNN: Beyond Two-Tower Recommendation Systems
ICLR 2025
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
ICLR 2025
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
ECCV 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NIPS 2024
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
CVPR 2024
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
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
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NIPS 2024
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
CVPR 2024
SimNP: Learning Self-Similarity Priors Between Neural Points
ICCV 2023
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
ECCV 2022
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
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
NIPS 2018
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels
CVPR 2018