Filip Pavetic
6 papers · 2022–2024 · 3 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 · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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Trend Setter
Venues
Top co-authors
Research topics
Computer Vision
(4)
Deep Learning
(4)
Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Architectures
(3)
Generation
(3)
Core AI
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
model scaling
(2)
vision transformer
(2)
image captioning
(2)
few-shot learning
(1)
domain generalization
(1)
transfer learning
(1)
object detection
(1)
visual question answering
(1)
in-context learning
(1)
multimodal learning
(1)
scene representation
(1)
remote sensing
(1)
multi-view learning
(1)
vision-language model
(1)
novel view synthesis
(1)
object-centric learning
(1)
object-centric representation
(1)
slot attention
(1)
parameter efficiency
(1)
model weight
(1)
Papers
LocCa: Visual Pretraining with Location-aware Captioners
NeurIPS 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
FlexiViT: One Model for All Patch Sizes
CVPR 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Object Scene Representation Transformer
NeurIPS 2022
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift
CVPR 2022