Diane Larlus

29 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (12) 🌍 Conference Polyglot (6) 🗺️ Taxonomy Completionist (61)

🗺️ Taxonomy Completionist (61) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🤝 Dynamic Duo (10) 🚀 Conference Pioneer 💎 Century Club (29) 📈 Trend Setter 🔥 Unstoppable (9) 🗃️ Keyword Collector (113) ⚡ Prolific Year (5)

Conferences

CVPR (11) ICCV (6) ECCV (4) ICLR (4) NIPS (2) WACV (2)

Top co-authors

Yannis Kalantidis (10) Andrea Vedaldi (7) Gabriela Csurka (5) Philippe Weinzaepfel (5) David Novotny (4) Mert Bülent Sarıyıldız (4) Mert Bulent Sariyildiz (4) Thomas Lucas (3) Rafael S. Rezende (3) Karteek Alahari (3)

Research topics

Computer Vision (1) Optimization & Theory (1)

Keywords

transfer learning (6) representation learning (6) unsupervised learning (4) cross-modal retrieval (3) image classification (3) domain adaptation (3) self-supervised learning (3) continual learning (2) feature learning (2) metric learning (2) egocentric vision (2) 3d vision (2) data augmentation (2) semantic matching (2) catastrophic forgetting (1) benchmark evaluation (1) video generation (1) image segmentation (1) embedding learning (1) object detection (1)

Papers

Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction ICCV 2025 Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos CVPR 2025 DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers CVPR 2025 LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes ICCV 2025 Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency ICLR 2024 UNIC: Universal Classification Models via Multi-teacher Distillation ECCV 2024 Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones CVPR 2023 EPIC Fields: Marrying 3D Geometry and Video Understanding NIPS 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 Learning Super-Features for Image Retrieval ICLR 2022 On the Road to Online Adaptation for Semantic Image Segmentation CVPR 2022 ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity ICLR 2022 Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks ECCV 2022 Unsupervised Meta-Domain Adaptation for Fashion Retrieval WACV 2021 Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 Concept Generalization in Visual Representation Learning ICCV 2021 Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021 StacMR: Scene-Text Aware Cross-Modal Retrieval WACV 2021 Learning Visual Representations with Caption Annotations ECCV 2020 Hard Negative Mixing for Contrastive Learning NIPS 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 Learning 3D Object Categories by Looking Around Them ICCV 2017 Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval CVPR 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching CVPR 2017 Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture CVPR 2015 Predicting an Object Location Using a Global Image Representation ICCV 2013