Milad Cheraghalikhani
9 papers · 2023–2025 · 4 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 · Bronze
🗺️
Taxonomy Completionist
(20)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Application Areas
(7)
Learning Types · Machine Learning
(6)
Learning Types · Deep Learning
(6)
Computer Vision
(4)
Analysis
(3)
Architectures
(3)
Models
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Processing
(1)
Keywords
domain shift
(4)
domain adaptation
(3)
test-time training
(3)
test-time adaptation
(3)
unsupervised learning
(2)
domain generalization
(2)
graph laplacian
(2)
state space model
(2)
feature map
(2)
vision-language model
(2)
weight averaging
(2)
zero-shot classification
(2)
vision transformer
(1)
visual representation
(1)
mutual information
(1)
distribution shift
(1)
visual representation learning
(1)
feature projection
(1)
spectral decomposition
(1)
representation learning
(1)
Papers
CLIPArTT: Adaptation of CLIP to New Domains at Test Time
WACV 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
WACV 2025
Spectral Informed Mamba for Robust Point Cloud Processing
CVPR 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning
CVPR 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
WACV 2025
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
WATT: Weight Average Test Time Adaptation of CLIP
NeurIPS 2024
ClusT3: Information Invariant Test-Time Training
ICCV 2023
TTTFlow: Unsupervised Test-Time Training With Normalizing Flow
WACV 2023