Sungrae Park
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Pioneer
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The Questioner
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Century Club Β· Bronze
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Trend Setter
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(6)
Application Areas
(4)
Core AI
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Computer Vision
(1)
Analysis
(1)
Keywords
recurrent neural network
(2)
attention mechanism
(2)
benchmark evaluation
(1)
domain generalization
(1)
text classification
(1)
object detection
(1)
knowledge distillation
(1)
model comparison
(1)
prompt engineering
(1)
language modeling
(1)
feature matching
(1)
instance segmentation
(1)
computational efficiency
(1)
instruction tuning
(1)
empirical risk minimization
(1)
adversarial learning
(1)
dropout regularization
(1)
sequential data
(1)
semantic segmentation
(1)
model compression
(1)
Papers
ZERA: Zero-init Instruction Evolving Refinement Agent β From Zero Instructions to Structured Prompts via Principle-based Optimization
EMNLP 2025
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
AAAI 2024
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
AAAI 2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
ECCV 2022
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features
ECCV 2022
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
AAAI 2021
SWAD: Domain Generalization by Seeking Flat Minima
NeurIPS 2021
Character Region Attention For Text Spotting
ECCV 2020
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model
COLING 2020
Adversarial Dropout for Recurrent Neural Networks
AAAI 2019
Hierarchical Context Enabled Recurrent Neural Network for Recommendation
AAAI 2019
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
ICCV 2019