Sven Behnke
19 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(35)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(76)
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Century Club
(18)
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Trend Setter
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
CVPR (4)
RSS (4)
ACL (2)
ICML (2)
AAAI (1)
ECCV (1)
ICCV (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
permutohedral lattice
(2)
zero-shot learning
(1)
3d human pose estimation
(1)
image generation
(1)
path planning
(1)
structured prediction
(1)
sequence labeling
(1)
gradient-based optimization
(1)
self-supervised learning
(1)
data augmentation
(1)
named entity recognition
(1)
depth estimation
(1)
visual explanation
(1)
motion transfer
(1)
feature learning
(1)
fine-grained recognition
(1)
convolutional neural network
(1)
scaling law
(1)
signed distance field
(1)
3d reconstruction
(1)
Papers
Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
AAAI 2026
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
ICML 2025
Feature-Preserving Mesh Decimation for Normal Integration
CVPR 2025
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
ICML 2025
LiLMaps: Learnable Implicit Language Maps
WACV 2025
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features
CVPR 2024
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices
CVPR 2023
FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending
RSS 2022
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
ECCV 2022
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
RSS 2021
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
ACL 2021
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
IJCNLP 2021
NAT: Noise-Aware Training for Robust Neural Sequence Labeling
ACL 2020
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
RSS 2020
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
ICCV 2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
CVPR 2019
Value Iteration Networks on Multiple Levels of Abstraction
RSS 2019
pystruct - Learning Structured Prediction in Python
JMLR 2014
Hierarchical Object Discovery and Dense Modelling from Motion Cues in RGB-D Video
IJCAI 2013