Lennart Svensson
13 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half
🚀
Conference Pioneer
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Computer Vision
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(3)
Processing
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Domain-Specific
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Keywords
autonomous driving
(2)
semantic segmentation
(2)
reinforcement learning
(1)
semi-supervised learning
(1)
bayesian nonparametrics
(1)
source separation
(1)
data augmentation
(1)
posterior inference
(1)
ancestor sampling
(1)
3d vision
(1)
unsupervised domain adaptation
(1)
cross-modal retrieval
(1)
neural rendering
(1)
maximum likelihood
(1)
importance sampling
(1)
embedding learning
(1)
contrastive divergence
(1)
maximum likelihood estimation
(1)
3d reconstruction
(1)
factor analysis
(1)
Papers
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction
AAAI 2025
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
CVPR 2025
Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
MICCAI 2025
Improving Open-Set Semi-Supervised Learning With Self-Supervision
WACV 2024
LidarCLIP or: How I Learned To Talk to Point Clouds
WACV 2024
NeuRAD: Neural Rendering for Autonomous Driving
CVPR 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence
AISTATS 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
ECCV 2024
Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking
MICCAI 2024
Object Detection As Probabilistic Set Prediction
ECCV 2022
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
WACV 2021
DACS: Domain Adaptation via Cross-Domain Mixed Sampling
WACV 2021
Infinite Factorial Dynamical Model
NeurIPS 2015