Ali Hatamizadeh
12 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Computer Vision
(8)
Deep Learning
(7)
Machine Learning
(6)
Architectures
(6)
Domain-Specific
(4)
Analysis
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI · Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Techniques
(2)
Core AI · Computer Vision
(1)
Learning Types · Deep Learning
(1)
Keywords
semantic segmentation
(5)
vision transformer
(4)
object detection
(3)
image classification
(3)
medical image segmentation
(2)
3d segmentation
(2)
3d medical image segmentation
(2)
attention mechanism
(1)
privacy attack
(1)
federated learning
(1)
self-supervised learning
(1)
medical imaging
(1)
adversarial attack
(1)
language modeling
(1)
transfer learning
(1)
neural network optimization
(1)
domain generalization
(1)
neural architecture search
(1)
image reconstruction
(1)
one-shot learning
(1)
Papers
Gated Delta Networks: Improving Mamba2 with Delta Rule
ICLR 2025
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
CVPR 2025
DiffiT: Diffusion Vision Transformers for Image Generation
ECCV 2024
FasterViT: Fast Vision Transformers with Hierarchical Attention
ICLR 2024
Global Context Vision Transformers
ICML 2023
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation
ECCV 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
GradViT: Gradient Inversion of Vision Transformers
CVPR 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet
CVPR 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
CVPR 2022
UNETR: Transformers for 3D Medical Image Segmentation
WACV 2022
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
ECCV 2020