Ali Cheraghian
11 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Keywords
test-time adaptation
(4)
domain adaptation
(3)
variational autoencoder
(2)
class-incremental learning
(2)
3d point cloud
(2)
point cloud
(2)
knowledge distillation
(2)
few-shot learning
(2)
transductive learning
(1)
subspace learning
(1)
prototype learning
(1)
self-supervised learning
(1)
attention mechanism
(1)
3d vision
(1)
distribution shift
(1)
semantic information
(1)
diffusion model
(1)
semantic embedding
(1)
vision-language model
(1)
denoising diffusion
(1)
Papers
Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models
AAAI 2026
Fighting Hallucinations with Counterfactuals: Diffusion-Guided Perturbations for LVLM Hallucination Suppression
CVPR 2026
Subspace-Guided Knowledge Distillation for Efficient Model Transfer
WACV 2026
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
WACV 2025
Backpropagation-free Network for 3D Test-time Adaptation
CVPR 2024
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
ECCV 2024
Continual Test-Time Domain Adaptation via Dynamic Sample Selection
WACV 2024
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects
ECCV 2022
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
CVPR 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
Transductive Zero-Shot Learning for 3D Point Cloud Classification
WACV 2020