Lars Petersson
40 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(27)
Computer Vision
(19)
Core Methods
(15)
Learning Types Β· Machine Learning
(14)
Analysis
(13)
Deep Learning
(12)
Artificial Intelligence
(10)
Application Areas
(8)
Core AI
(6)
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(5)
Learning Types Β· Deep Learning
(5)
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(5)
Processing
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Models
(4)
Mathematics & Optimization
(3)
Keywords
domain adaptation
(4)
attention mechanism
(4)
few-shot learning
(4)
representation learning
(3)
class-incremental learning
(2)
branch and bound
(2)
global optimization
(2)
semantic segmentation
(2)
scene parsing
(2)
3d reconstruction
(2)
knowledge distillation
(2)
image classification
(2)
transfer learning
(2)
point cloud
(2)
test-time adaptation
(2)
policy gradient
(2)
feature extraction
(2)
zero-shot learning
(2)
point set registration
(2)
label noise
(2)
Papers
Subspace-Guided Knowledge Distillation for Efficient Model Transfer
WACV 2026
BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery
WACV 2025
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
WACV 2025
GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction
CVPR 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference
CVPR 2025
Backpropagation-free Network for 3D Test-time Adaptation
CVPR 2024
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
ECCV 2024
Continual Test-Time Domain Adaptation via Dynamic Sample Selection
WACV 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
WACV 2024
Hyperbolic Audio-visual Zero-shot Learning
ICCV 2023
Weakly-Supervised Point Cloud Instance Segmentation With Geometric Priors
WACV 2023
Biomass Prediction With 3D Point Clouds From LiDAR
WACV 2022
Blind Image Decomposition
ECCV 2022
Declarative nets that are equilibrium models
ICLR 2022
Towards a Robust Differentiable Architecture Search Under Label Noise
WACV 2022
Transcribing Natural Languages for the Deaf via Neural Editing Programs
AAAI 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
Contextually Plausible and Diverse 3D Human Motion Prediction
ICCV 2021
Kernel Methods in Hyperbolic Spaces
ICCV 2021
Reinforced Attention for Few-Shot Learning and Beyond
CVPR 2021
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
CVPR 2021
Set Augmented Triplet Loss for Video Person Re-Identification
WACV 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction
CVPR 2020
Learning from Noisy Labels via Discrepant Collaborative Training
WACV 2020
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
WACV 2020
Transductive Zero-Shot Learning for 3D Point Cloud Classification
WACV 2020
Transferring Cross-Domain Knowledge for Video Sign Language Recognition
CVPR 2020
Bilinear Attention Networks for Person Retrieval
ICCV 2019
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation
CVPR 2019
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
ECCV 2018
Improving Object Localization With Fitness NMS and Bounded IoU Loss
CVPR 2018
Bringing Background Into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation
ICCV 2017
DeNet: Scalable Real-Time Object Detection With Directed Sparse Sampling
ICCV 2017
Encouraging LSTMs to Anticipate Actions Very Early
ICCV 2017
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
ICCV 2017
GOGMA: Globally-Optimal Gaussian Mixture Alignment
CVPR 2016
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
CVPR 2016
An Adaptive Data Representation for Robust Point-Set Registration and Merging
ICCV 2015
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
ICCV 2015