Sarah Parisot
14 papers · 2013–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
π§
Keyword Pioneer
ποΈ
Keyword Collector
(73)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Computer Vision
(7)
Learning Types Β· Deep Learning
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Analysis
(2)
Application Areas
(2)
Generation
(2)
Models
(2)
Optimization & Theory
(2)
Processing
(2)
Natural Language Processing
(1)
Keywords
convolutional neural network
(2)
text-to-image generation
(2)
object detection
(2)
continual learning
(1)
image generation
(1)
probabilistic modeling
(1)
few-shot learning
(1)
domain adaptation
(1)
image restoration
(1)
bayesian inference
(1)
weakly supervised learning
(1)
prototype learning
(1)
visual question answering
(1)
attention mechanism
(1)
knowledge transfer
(1)
transfer learning
(1)
text representation
(1)
privacy preservation
(1)
image editing
(1)
zero-shot learning
(1)
Papers
Generating compositional scenes via Text-to-image RGBA Instance Generation
NeurIPS 2024
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
CVPR 2024
Learning To Name Classes for Vision and Language Models
CVPR 2023
Long-Tail Recognition via Compositional Knowledge Transfer
CVPR 2022
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
CVPR 2020
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement
AAAI 2020
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
ECCV 2020
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping
ECCV 2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
ECCV 2020
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning
ECCV 2020
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
CVPR 2020
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
NeurIPS 2018
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
ICCV 2013