4.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Seoul National UniversityKR1.2k papers
- The University of TokyoJP1.2k papers
- Panjab UniversityIN1.2k papers
- Centre National de la Recherche ScientifiqueFR1.1k papers
- Sungkyunkwan UniversityKR1.1k papers
- Wayne State UniversityUS990 papers
- Korea UniversityKR986 papers
- National Taiwan UniversityTW970 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT941 papers
- Kyungpook National UniversityKR930 papers
- University of Science and Technology of ChinaCN930 papers
- University of Tennessee at KnoxvilleUS920 papers
126 papers · 1 filter
Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI Synthesis
Yejee Shin, Geonhui Son, Jinglu Wang +3
Acquiring a complete set of magnetic resonance imaging (MRI) contrasts is time-intensive and uncomfortable for patients, despite the diagnostic value of multi-contrast imaging. Thi…
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
Jihun Kim, Kyeonghun Kim, Jong-yeol Lee +2
Early detection of dental caries remains challenging due to limitations in traditional diagnostic methods, particularly for proximal lesions in posterior teeth. Deep learning model…
Convolutional Neural Shading for High-Quality 3D Reconstruction from Multi-View Images
Juheon Hwang, Taewan Kim, Heeseok Oh +1
We propose a convolutional neural shading (CNS), a novel pipeline to reconstruct high-quality 3D shapes from multi-view images. Several recent studies have used neural radiance fie…
Collaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification
Juheon Hwang, Taewan Kim, Jiwoo Kang
We propose a novel collaborative approach for face super-resolution (SR) and robust person re-identification from sequential or multi-view facial images. Traditional SR methods oft…
DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video
Jeonghaeng Lee, Seok Keun Choi, Zhixuan Li +2
While recent 3D head avatar creation methods attempt to animate facial dynamics, they often fail to capture personalized details, limiting realism and expressiveness. To fill this…
HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency
Geonhui Son, Jeong Ryong Lee, Dosik Hwang
Generative Adversarial Networks (GANs) have made significant progress in enhancing the quality of image synthesis. Recent methods frequently leverage pretrained networks to calcula…
Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process
Sangjun Han, Youngmi Hur
With advances in artificial intelligence, image processing has gained significant interest. Image super-resolution is a vital technology closely related to real-world applications,…
Relightable and Dynamic Gaussian Avatar Reconstruction from Monocular Video
Seonghwa Choi, Moonkyeong Choi, Mingyu Jang +4
Modeling relightable and animatable human avatars from monocular video is a long-standing and challenging task. Recently, Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3D…
Spanning Tree Autoregressive Visual Generation
Sangkyu Lee, Changho Lee, Janghoon Han +6
We present Spanning Tree Autoregressive (STAR) modeling, which can incorporate prior knowledge of images, such as center bias and locality, to maintain sampling performance while a…
3DPillars: Pillar-based two-stage 3D object detection
Jongyoun Noh, Junghyup Lee, Hyekang Park +1
PointPillars is the fastest 3D object detector that exploits pseudo image representations to encode features for 3D objects in a scene. Albeit efficient, PointPillars is typically…
Language-guided Recursive Spatiotemporal Graph Modeling for Video Summarization
Jungin Park, Jiyoung Lee, Kwanghoon Sohn
Video summarization aims to select keyframes that are visually diverse and can represent the whole story of a given video. Previous approaches have focused on global interlinkabili…
SlumpGuard: An AI-Powered Real-Time System for Automated Concrete Slump Prediction via Video Analysis
Youngmin Kim, Giyeong Oh, Kwangsoo Youm +1
Concrete workability is essential for construction quality, with the slump test being the most widely used on-site method for its assessment. However, traditional slump testing is…
PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection
Seokyeong Lee, Sithu Aung, Junyong Choi +3
Monocular 3D object detection is crucial for scalable perception across fields like autonomous driving, robotics, and surveillance. However, progress is hindered by limited 3D anno…
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
Donghyeong Kim, Chaewon Park, Suhwan Cho +4
Zero-shot anomaly detection (ZSAD) aims to identify anomalies in unseen categories by leveraging CLIP's zero-shot capabilities to match text prompts with visual features. A key cha…
Targetless LiDAR-Camera Calibration with Neural Gaussian Splatting
Haebeom Jung, Namtae Kim, Jungwoo Kim +1
Accurate LiDAR-camera calibration is crucial for multi-sensor systems. However, traditional methods often rely on physical targets, which are impractical for real-world deployment.…
Cerberus: Attribute-based person re-identification using semantic IDs
Chanho Eom, Geon Lee, Kyunghwan Cho +3
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID). Our approach leverages person attribute labels to learn local and global person…
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
Eungbean Lee, Somi Jeong, Kwanghoon Sohn
Exemplar-guided image translation, synthesizing photo-realistic images that conform to both structural control and style exemplars, is attracting attention due to its ability to en…
Convolutional neural networks applied to modification of images
Carlos I. Aguirre-Velez, Jose Antonio Arciniega-Nevarez, Eric Dolores-Cuenca
The reader will learn how digital images are edited using linear algebra and calculus. Starting from the concept of filter towards machine learning techniques such as convolutional…
Disentangled Representations for Short-Term and Long-Term Person Re-Identification
Chanho Eom, Wonkyung Lee, Geon Lee +1
We address the problem of person re-identification (reID), that is, retrieving person images from a large dataset, given a query image of the person of interest. A key challenge is…
Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation
Youngwan Jin, Incheol Park, Hanbin Song +3
This paper proposes Pix2Next, a novel image-to-image translation framework designed to address the challenge of generating high-quality Near-Infrared (NIR) images from RGB inputs.…
FLoD: Integrating Flexible Level of Detail into 3D Gaussian Splatting for Customizable Rendering
Yunji Seo, Young Sun Choi, Hyun Seung Son +1
3D Gaussian Splatting (3DGS) and its subsequent works are restricted to specific hardware setups, either on only low-cost or on only high-end configurations. Approaches aimed at re…
AccessLens: Auto-detecting Inaccessibility of Everyday Objects
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi +4
In our increasingly diverse society, everyday physical interfaces often present barriers, impacting individuals across various contexts. This oversight, from small cabinet knobs to…
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization
Imjin Ahn, Hansle Gwon, Young-Hak Kim +2
The discharge summary is a one of critical documents in the patient journey, encompassing all events experienced during hospitalization, including multiple visits, medications, tes…
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images
Hyoung Suk Park, Chang Min Hyun, Sang-Hwy Lee +2
This paper presents a fully automatic registration method of dental cone-beam computed tomography (CBCT) and face scan data. It can be used for a digital platform of 3D jaw-teeth-f…