4 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Semi-Dense Matching Uncertainty Is Not Just Local Confidence
Khoa Hoang, Hoang-Tuan Nguyen, Huong Ninh +2
Reliable semi-dense matching is essential for modern geometric vision systems. Designed under a coarse-to-fine paradigm, it achieves an optimal balance between performance and comp…
SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection
Huong Ninh, Chien Thai, Mai Xuan Trang +3
Industrial anomaly detection aims to identify and localize defective regions without relying on exhaustive annotations of all possible defect types. Although recent unsupervised me…
Enhancing Rotated Object Detection via Anisotropic Gaussian Bounding Box and Bhattacharyya Distance
Chien Thai, Mai Xuan Trang, Huong Ninh +2
Detecting rotated objects accurately and efficiently is a significant challenge in computer vision, particularly in applications such as aerial imagery, remote sensing, and autonom…
Online 3D Multi-Camera Perception through Robust 2D Tracking and Depth-based Late Aggregation
Vu-Minh Le, Thao-Anh Tran, Duc Huy Do +3
Multi-Target Multi-Camera Tracking (MTMC) is an essential computer vision task for automating large-scale surveillance. With camera calibration and depth information, the targets i…
An Effective Deep Network for Head Pose Estimation without Keypoints
Chien Thai, Viet Tran, Minh Bui +2
Human head pose estimation is an essential problem in facial analysis in recent years that has a lot of computer vision applications such as gaze estimation, virtual reality, and d…