Riccardo Volpi
12 papers · 2017–2024 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Computer Vision
(5)
Deep Learning
(5)
Analysis
(4)
Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Core AI
(2)
Models
(2)
Core Methods
(1)
Learning Paradigms Β· Machine Learning
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Processing
(1)
Keywords
semantic segmentation
(4)
domain adaptation
(4)
data augmentation
(2)
adversarial learning
(2)
unsupervised domain adaptation
(2)
continual learning
(2)
domain generalization
(2)
unsupervised learning
(2)
domain randomization
(1)
adversarial training
(1)
image segmentation
(1)
riemannian manifold
(1)
distribution shift
(1)
semantic hierarchy
(1)
feature space
(1)
label noise
(1)
transfer learning
(1)
information geometry
(1)
zero-shot learning
(1)
catastrophic forgetting
(1)
Papers
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
ECCV 2024
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
CVPR 2024
Reliability in Semantic Segmentation: Are We on the Right Track?
CVPR 2023
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
NeurIPS 2022
On the Road to Online Adaptation for Semantic Image Segmentation
CVPR 2022
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning
CVPR 2021
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks
ACL 2020
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
WACV 2020
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets
ICCV 2019
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
CVPR 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
NeurIPS 2018
Curriculum Dropout
ICCV 2017