Farzad Beizaee
7 papers · 2024–2025 · 5 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Computer Vision
(6)
Deep Learning
(6)
Learning Types · Deep Learning
(6)
Machine Learning
(5)
Analysis
(5)
Application Areas
(3)
Architectures
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Processing
(1)
Keywords
test-time adaptation
(2)
weight averaging
(2)
state space model
(2)
point cloud
(2)
graph laplacian
(2)
anomaly detection
(1)
self-supervised learning
(1)
3d vision
(1)
image reconstruction
(1)
visual representation
(1)
multi-class classification
(1)
distribution shift
(1)
visual representation learning
(1)
spectral decomposition
(1)
diffusion model
(1)
latent space
(1)
vision-language model
(1)
pseudo label
(1)
masked autoencoder
(1)
zero-shot classification
(1)
Papers
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
CVPR 2025
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport
MICCAI 2025
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
ICML 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
WATT: Weight Average Test Time Adaptation of CLIP
NeurIPS 2024