RESEARCH
논문
컴퓨터비전과 머신러닝 분야에서는 인공지능 연구를 저널보다 국제 학술대회에서 주로 발표합니다.
총 15편
2026
- Under review
LiftConsensus
Lifting 2D Change Evidence into 3D via Multi-View Spatial Consensus for Retail Change Detection
- Under review공저
PatchGate
Narrowing the Verbalization Gap with Intrinsic Object Inventories in Frozen Vision-Language Models
arXiv - MICCAI공저
GeneRAG
A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction
- Under review주저
One Click per Cell Type Suffices
One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
arXiv - ICML공저
On the Collapse of Generative Paths
On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
arXiv - ECCV주저
EraseLoRA
MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal
Dataset-Free Object Removal(또는 Dataset-Free Object Removal (Diffusion based))arXiv - ECCV주저
ISAC
Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation
Text to Image Generation — Multi Instance Generation (Training free Attention Control)arXiv - ICLR주저
TRACE(구 DiffEGG)
Your Diffusion Model is Secretly an Instance Edge Detector (구 Diffusion-Driven Edge Generation for Unsupervised Instance Segmentation and Beyond )
Weakly-Supervised Panoptic SegmentationarXiv
2025
2024
- ECCV주저
DHR
Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
Weakly-Supervised Semantic SegmentationarXiv - ECCV주저
TTD
Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
Open-vocabulary Segmentation Multi-Label Text ClassificationarXiv