4 citations · 5 across the 25 of their papers we have counts for
10 papers · 1 filter
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…
Multi Player Tracking in Ice Hockey with Homographic Projections
Harish Prakash, Jia Cheng Shang, Ken M. Nsiempba +3
Multi Object Tracking (MOT) in ice hockey pursues the combined task of localizing and associating players across a given sequence to maintain their identities. Tracking players fro…
PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics
Jerrin Bright, Bavesh Balaji, Yuhao Chen +2
In the high-stakes world of baseball, every nuance of a pitcher's mechanics holds the key to maximizing performance and minimizing runs. Traditional analysis methods often rely on…
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.…
Domain-Guided Masked Autoencoders for Unique Player Identification
Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla +4
Unique player identification is a fundamental module in vision-driven sports analytics. Identifying players from broadcast videos can aid with various downstream tasks such as play…
Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery
Jerrin Bright, Bavesh Balaji, Harish Prakash +3
Precise Human Mesh Recovery (HMR) with in-the-wild data is a formidable challenge and is often hindered by depth ambiguities and reduced precision. Existing works resort to either…
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation
Yuxiang Huang, John Zelek
Motion segmentation is a fundamental problem in computer vision and is crucial in various applications such as robotics, autonomous driving and action recognition. Recently, spectr…