Diane Larlus
30 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Computer Vision
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Deep Learning
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Learning Types · Machine Learning
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Analysis
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Core Methods
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Artificial Intelligence
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Learning Types · Deep Learning
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Core AI · Computer Vision
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Keywords
transfer learning
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representation learning
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data augmentation
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unsupervised learning
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image classification
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domain adaptation
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self-supervised learning
(3)
image retrieval
(3)
cross-modal retrieval
(3)
continual learning
(2)
feature learning
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metric learning
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semantic matching
(2)
feature aggregation
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3d vision
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egocentric vision
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geometric consistency
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multimodal learning
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catastrophic forgetting
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benchmark evaluation
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Papers
Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video
CVPR 2026
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
CVPR 2025
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
ICCV 2025
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
CVPR 2025
LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes
ICCV 2025
UNIC: Universal Classification Models via Multi-teacher Distillation
ECCV 2024
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
ICLR 2024
EPIC Fields: Marrying 3D Geometry and Video Understanding
NeurIPS 2023
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
CVPR 2023
No Reason for No Supervision: Improved Generalization in Supervised Models
ICLR 2023
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
CVPR 2023
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
ICLR 2022
Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks
ECCV 2022
Learning Super-Features for Image Retrieval
ICLR 2022
On the Road to Online Adaptation for Semantic Image Segmentation
CVPR 2022
Concept Generalization in Visual Representation Learning
ICCV 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning
CVPR 2021
Probabilistic Embeddings for Cross-Modal Retrieval
CVPR 2021
StacMR: Scene-Text Aware Cross-Modal Retrieval
WACV 2021
Unsupervised Meta-Domain Adaptation for Fashion Retrieval
WACV 2021
Hard Negative Mixing for Contrastive Learning
NeurIPS 2020
Learning Visual Representations with Caption Annotations
ECCV 2020
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
ICCV 2019
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
CVPR 2018
Semi-convolutional Operators for Instance Segmentation
ECCV 2018
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
CVPR 2017
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval
CVPR 2017
Learning 3D Object Categories by Looking Around Them
ICCV 2017
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture
CVPR 2015
Predicting an Object Location Using a Global Image Representation
ICCV 2013