Soopil Kim
7 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Computer Vision
(3)
Machine Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Analysis
(2)
Architectures
(2)
Domain-Specific
(2)
Learning Types · Deep Learning
(2)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Techniques
(1)
Keywords
few-shot learning
(3)
semantic segmentation
(1)
metric learning
(1)
self-attention mechanism
(1)
transfer learning
(1)
anomaly detection
(1)
feature extraction
(1)
attention mechanism
(1)
vision-language alignment
(1)
medical image segmentation
(1)
image registration
(1)
recurrent neural network
(1)
few-shot segmentation
(1)
few-shot classification
(1)
gated recurrent unit
(1)
feature reweighting
(1)
part segmentation
(1)
industrial anomaly detection
(1)
metric-based learning
(1)
memory bank
(1)
Papers
IVAAN: Instance-level Vision-Language Alignment via Attribute-Guided Text Prompts Generation for Nuclei Analysis
CVPR 2026
Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification
MICCAI 2025
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
AAAI 2024
InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations
MICCAI 2024
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
MICCAI 2024
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
CVPR 2022
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
AAAI 2021