:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Junhyeok, Jang, Han, Choi, Kyu Sung
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.00416
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Segmentation-before-Staining Improves Structural Fidelity in Virtual IHC-to-Multiplex IF Translation
by: Lee, Junhyeok, et al.
Published: (2026)

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge
by: LaBella, Dominic, et al.
Published: (2024)

Hierarchical Perfusion Graphs for Tumor Heterogeneity Modeling in Glioma Molecular Subtyping
by: Jang, Han, et al.
Published: (2026)

End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
by: Kim, Kwanyoung, et al.
Published: (2023)

Data-Efficient Meningioma Segmentation via Implicit Spatiotemporal Mixing and Sim2Real Semantic Injection
by: Xu, Yunhao, et al.
Published: (2026)

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
by: Lee, Junhyeok, et al.
Published: (2026)

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
by: Choi, Tae Eun, et al.
Published: (2026)

AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
by: Choi, Jaehyun, et al.
Published: (2024)

Demo: Generative AI helps Radiotherapy Planning with User Preference
by: Gao, Riqiang, et al.
Published: (2025)

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study
by: Wang, Yuhan, et al.
Published: (2026)

Open-Set Domain Adaptation for Semantic Segmentation
by: Choe, Seun-An, et al.
Published: (2024)

MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
by: Serrano-Antón, Belén, et al.
Published: (2024)

Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net
by: Brioso, Ricardo Coimbra, et al.
Published: (2026)

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
by: Yoon, Hangyul, et al.
Published: (2024)

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
by: Park, Juhan, et al.
Published: (2025)

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
by: Jang, Sangwon, et al.
Published: (2024)

Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
by: Lee, Mingyu, et al.
Published: (2024)

Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
by: Hong, Jung-Ho, et al.
Published: (2023)

FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
by: Mgboh, Ujunwa, et al.
Published: (2025)

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
by: Lee, Junhyeok, et al.
Published: (2025)

Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning
by: Yin, Qian, et al.
Published: (2026)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
by: Choi, Jaehyun, et al.
Published: (2025)

A 3D SAM-Based Progressive Prompting Framework for Multi-Task Segmentation of Radiotherapy-induced Normal Tissue Injuries in Limited-Data Settings
by: Jiang, Caiwen, et al.
Published: (2026)

MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model
by: Lee, Youngwan, et al.
Published: (2026)

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)

Training-Free Global Geometric Association for 4D LiDAR Panoptic Segmentation
by: Oh, Gyeongrok, et al.
Published: (2025)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
by: Kim, Minung, et al.
Published: (2025)

Real-Time Visual Attribution Streaming in Thinking Model
by: Kang, Seil, et al.
Published: (2026)

ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
by: Jang, Deok-Kyeong, et al.
Published: (2024)

RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
by: Lee, Subeen, et al.
Published: (2026)

See What You Are Told: Visual Attention Sink in Large Multimodal Models
by: Kang, Seil, et al.
Published: (2025)

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
by: Kang, Seil, et al.
Published: (2025)

REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents using Information Relevance and Relative Proximity
by: Seo, SeungWon, et al.
Published: (2024)

Click-Gaussian: Interactive Segmentation to Any 3D Gaussians
by: Choi, Seokhun, et al.
Published: (2024)

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)

Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection
by: Woo, Jung Heum, et al.
Published: (2026)

Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
by: Kim, Mingyeong, et al.
Published: (2026)

ZERO: Industry-ready Vision Foundation Model with Multi-modal Prompts
by: Choi, Sangbum, et al.
Published: (2025)

In-situ and Non-contact Etch Depth Prediction in Plasma Etching via Machine Learning (ANN & BNN) and Digital Image Colorimetry
by: Kang, Minji, et al.
Published: (2025)