2 citations · 2 across the 7 of their papers we have counts for
10 papers
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…