Pietro Zanuttigh
13 papers · 2019–2026 · 6 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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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(26)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Computer Vision
(7)
Deep Learning
(7)
Application Areas
(7)
Learning Types · Deep Learning
(6)
Analysis
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Processing
(2)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Keywords
semantic segmentation
(5)
continual learning
(3)
catastrophic forgetting
(2)
unsupervised domain adaptation
(2)
source-free domain adaptation
(2)
low-rank adapter
(2)
generative adversarial network
(2)
adversarial learning
(1)
incremental learning
(1)
contrastive learning
(1)
latent representation
(1)
class-incremental learning
(1)
object recognition
(1)
cross-modal transfer
(1)
feature clustering
(1)
domain adaptation
(1)
neural rendering
(1)
feature sparsification
(1)
model merging
(1)
image generation
(1)
Papers
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
ICCV 2025
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities
CVPR 2025
When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
WACV 2025
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
ICML 2024
HoloADMM: High-Quality Holographic Complex Field Recovery
ECCV 2024
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
ECCV 2024
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
WACV 2023
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
CVPR 2021
RECALL: Replay-Based Continual Learning in Semantic Segmentation
ICCV 2021
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
WACV 2021
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
ECCV 2020
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
CVPR 2019