output
19932026
most citedFirst M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole

4.3k citations

Showing 2025 · cs.CVShow all

8 papers · 2 filters

cs.CV2025★ 1 cited

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…

cs.CV2025

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…

cs.CV2025★ 1 cited

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…

cs.CV2025

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…

cs.CV2025★ 3 cited

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…

cs.CV2025

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…

cs.CV2025★ 8 cited

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…

cs.CV2025★ 3 cited

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.…