26 citations · 35 across the 11 of their papers we have counts for
13 papers
QuacamFM: Quaternion-Constrained Flow Matching for Camera Pose Estimation
Bao-Long Tran, Cuong Le, Tahereh Dehdarirad +2
Camera pose estimation from multi-view images remains a challenge in computer vision. Traditional methods often address this problem using Structure-from-Motion (SfM) with bundle a…
Efficient Multi-Timescale Event Representations for Feed-Forward Object Detection
Fredrik Lundell, Per-Erik Forssen, Mårten Wadenbäck +1
Autonomous systems require robust low-latency perception under rapidly changing scene dynamics and challenging illumination. In event cameras object detection commonly relies on re…
MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation
Ziliang Xiong, Henglin Shi, Per-Erik Forssen
Conventional algebraic triangulation solves 3D human pose estimation (HPE) from multi-view 2D keypoints. The typical approach, decoding 2D keypoints from predicted heatmaps, is unr…
Neuromorphic Monocular Depth Estimation with Uncertainty Modeling
Viktor Bergkvist, Felix Rydell, Per-Erik Forssén +2
Event cameras offer distinct advantages over conventional frame-based sensors, including microsecond-level temporal resolution, high dynamic range, and low bandwidth. In this paper…
On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting
Pavlo Melnyk, Cuong Le, Urs Waldmann +2
We consider monocular 3D human pose estimation (HPE), where the goal is to predict 3D human skeletal joints from a single 2D image, typically via 2D keypoint detection followed by…
Robust Multi-view Camera Calibration from Dense Matches
Johannes Hägerlind, Bao-Long Tran, Urs Waldmann +1
Estimating camera intrinsics and extrinsics is a fundamental problem in computer vision, and while advances in structure-from-motion (SfM) have improved accuracy and robustness, op…
MATTER: Multiscale Attention for Registration Error Regression
Shipeng Liu, Ziliang Xiong, Khac-Hoang Ngo +1
Point cloud registration (PCR) is crucial for many downstream tasks, such as simultaneous localization and mapping (SLAM) and object tracking. This makes detecting and quantifying…
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
Shipeng Liu, Ziliang Xiong, Bastian Wandt +1
Human Pose Estimation (HPE) is increasingly important for applications like virtual reality and motion analysis, yet current methods struggle with balancing accuracy, computational…
FACT: Multinomial Misalignment Classification for Point Cloud Registration
Ludvig Dillén, Per-Erik Forssén, Johan Edstedt
We present FACT, a method for predicting alignment quality (i.e., registration error) of registered lidar point cloud pairs. This is useful e.g. for quality assurance of large, aut…
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén +1
When deploying deep neural networks on robots or other physical systems, the learned model should reliably quantify predictive uncertainty. A reliable uncertainty allows downstream…
GMSF: Global Matching Scene Flow
Yushan Zhang, Johan Edstedt, Bastian Wandt +3
We tackle the task of scene flow estimation from point clouds. Given a source and a target point cloud, the objective is to estimate a translation from each point in the source poi…
Self-supervised learning of object pose estimation using keypoint prediction
Zahra Gharaee, Felix Järemo Lawin, Per-Erik Forssén
This paper describes recent developments in object specific pose and shape prediction from single images. The main contribution is a new approach to camera pose prediction by self-…
Camera Calibration without Camera Access -- A Robust Validation Technique for Extended PnP Methods
Emil Brissman, Per-Erik Forssén, Johan Edstedt
A challenge in image based metrology and forensics is intrinsic camera calibration when the used camera is unavailable. The unavailability raises two questions. The first question…