| 2025 | Erp-Aware Text-To-360 Panorama Diffusion Model. | Ju-Hee Lee, Je-Won Kang |
| 2025 | SD-URM: Stable-Diffusion Based Zero-Shot Universal Restoration Model. | Dae Yeol Lee, Shiv Gehlot, Lijun Zhang, Guan-Ming Su |
| 2025 | Scribble-Guided Diffusion for Training-Free Text-to-Image Generation. | Seonho Lee, Jiho Choi, Seohyun Lim, Jiwook Kim, Hyunjung Shim |
| 2025 | Error Correction for DNA-Based Image Storage. | Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi |
| 2025 | Deformable Spherical Geometry Transformer For Panoramic Semantic Segmentation. | Boyang Lan, Li Yang, Mai Xu, Lai Jiang, Yufeng Wang |
| 2025 | Generative Xr Transfer Learning For Real Traffic Object Detection. | Kuan-Ting Lai, Yan-Zhen Chen, Chi-Ting Liu, Ying-You Lin, Tzu-Hsin Liu, Kai-Ming Hu, Yi-Ju Hsiung |
| 2025 | Lightweight Temporal Contextual Fine-Tuning Method of Large Multimodal Model for Video Moment Retrieval. | Semi Kwon, Ju-Hee Lee, Je-Won Kang |
| 2025 | Transformer Augmented Multi-Resolution Hash Encoding in Diffusion Model for 3D Point Cloud Denoising. | Seema Kumari, Utkarsh Mishra, Srimanta Mandal, Shanmuganathan Raman |
| 2025 | Conditional Diffusion Transformer for Unified Distortion Correction and Rectification. | Pooja Kumari, Sukhendu Das |
| 2025 | A Warmer Start to Active Learning with Adaptive Gaussian Mixture Models for Skin Lesion Segmentation. | Lakmali Nadeesha Kumari, Chanaka Thushitha Bandara, Chen-Nee Chuah, Sen-Ching Samson Cheung |
| 2025 | Perface: Metric Learning in Perceptual Facial Similarity for Enhanced Face Anonymization. | Haruka Kumagai, Leslie Whler, Satoshi Ikehata, Kiyoharu Aizawa |
| 2025 | Detecting And Mitigating Incoherent Input Of Latent Diffusion Models. | Christopher B. Kuhn, Boga nver, Diego Vera, Christoph Burgmair, Tamay Aykut |
| 2025 | A Scalable Image Compression Using Conditional Diffusion Model in Human-Machine Hybrid Vision. | Jinhao Kuang, Yue Luo, Yi Peng, Jiabao Zhu, Li Yu |
| 2025 | Enhanced Frame Context Initialization for Video Coding Beyond AV1. | Madhu Peringassery Krishnan, Liang Zhao, Zhipeng Dong, Tianqi Liu, Wei Kuang, Minhao Tang, Shan Liu |
| 2025 | Splitter: Faster Inference through Channel Partitioning and Feature Fusion. | Onur Can Koyun, Kemal Ilgar Eroglu, Behet Ugur Treyin |
| 2025 | Batch-Aware Active Learning for Object Detection. | Mykyta Kovalenko, Peter Eisert, Anna Hilsmann, Sebastian Bosse |
| 2025 | Autoregression-Free Video Prediction Using Diffusion Model for Mitigating Error Propagation. | Woonho Ko, Jin Bok Park, Il Yong Chun |
| 2025 | D-Star: Diffusion Model-Based Inpainting for Stamp Artifact Reduction. | Shota Komori, Takahiro Hayashi |
| 2025 | Caption-Driven Explainability: Probing CNNS for Bias Via Clip. | Patrick Koller, Amil V. Dravid, Guido M. Schuster, Aggelos K. Katsaggelos |
| 2025 | Implicit Object Recognition via Reinforcement Learning in Out-Of-Domain Scenarios. | Kenji Cari Koga, Rei Kawakami |
| 2025 | Perceptual Realness of Generative Audio-Visual Content. | Devi Klein, Anustup Choudhury, Jaclyn Pytlarz, Scott Daly |
| 2025 | Extension of Sound Field Image Denoising to High-Frequency Sound Fields by Considering Wavenumber Spectral Loss. | Kazuma Kishida, Risako Tanigawa, Kenji Ishikawa, Yasuhiro Oikawa |
| 2025 | Astrophotography Turbulence Mitigation Via Generative Models. | Joonyeoup Kim, Yu Yuan, Xingguang Zhang, Xijun Wang, Stanley Chan |
| 2025 | Session Class Prototype Incremental Learning (SCPIL): Mitigating Catastrophic Forgetting with Distance-Based Prototype Learning. | Seongsu Kim, Sangwoo Yun, Illhwan Kin, Dongheon Lee, Joonki Paik |
| 2025 | GlioSurvNet: Multimodal Survival Prediction for Glioblastoma Using Deep Learning and Clinical Variables from Brain MRI. | Gihyeon Kim, Fangxu Xing, Hyoun-Joong Kong, Emiliano Santarnecchi, Helen A. Shih, Thomas Bortfeld, Georges El Fakhri, Xiaofeng Liu, Jang Hwan Choi, Jonghye Woo |