4 citations · 4 across the 6 of their papers we have counts for
6 papers
iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring
Dayou Mao, Yuchen Lin, Ashkan Ebadi +3
Automation in construction is essential for reducing costs and human errors in large-scale projects. We approach the construction progress monitoring from the aspect of detecting c…
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
Yizhe Liu, Yan Song Hu, Yuhao Chen +1
Image-based Pose-Agnostic 3D Anomaly Detection is an important task that has emerged in industrial quality control. This task seeks to find anomalies from query images of a tested…
MGSO: Monocular Real-time Photometric SLAM with Efficient 3D Gaussian Splatting
Yan Song Hu, Nicolas Abboud, Muhammad Qasim Ali +5
Real-time SLAM with dense 3D mapping is computationally challenging, especially on resource-limited devices. The recent development of 3D Gaussian Splatting (3DGS) offers a promisi…
Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM
Yan Song Hu, Dayou Mao, Yuhao Chen +1
Initial applications of 3D Gaussian Splatting (3DGS) in Visual Simultaneous Localization and Mapping (VSLAM) demonstrate the generation of high-quality volumetric reconstructions f…
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach
Yuxiang Huang, Yuhao Chen, John Zelek
Motion segmentation from a single moving camera presents a significant challenge in the field of computer vision. This challenge is compounded by the unknown camera movements and t…
Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
Yuxiang Huang, Yuhao Chen, John Zelek
Detecting and segmenting moving objects from a moving monocular camera is challenging in the presence of unknown camera motion, diverse object motions and complex scene structures.…