activity
20162026
most citedSemi-Dense 3D Reconstruction with a Stereo Event Camera

143 citations · 535 across the 54 of their papers we have counts for

collaborators

56 papers

cs.RO2026

TRaIL-Odom: Tightly Coupled Continuous Time Radar-IMU-LiDAR Odometry with Adaptive Doppler Weighting

Chiyun Noh, Turcan Tuna, William Talbot +3

Existing radar-LiDAR fusion methods rely on fixed residual weights, even though the informativeness of radar Doppler and LiDAR geometry is scan- and direction-dependent, leading to…

cs.CV2025

A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks

Hang Su, Yunlong Feng, Daniel Gehrig +4

Structure and continuous motion estimation from point correspondences is a fundamental problem in computer vision that has been powered by well-known algorithms such as the familia…

cs.CV2025

NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications

Li Cui, Yang Ding, Richard Hartley +3

We propose a novel, vision-only object-level SLAM framework for automotive applications representing 3D shapes by implicit signed distance functions. Our key innovation consists of…

cs.RO2025

OpenGV 2.0: Motion prior-assisted calibration and SLAM with vehicle-mounted surround-view systems

Kun Huang, Yifu Wang, Si'ao Zhang +4

The present paper proposes optimization-based solutions to visual SLAM with a vehicle-mounted surround-view camera system. Owing to their original use-case, such systems often only…

cs.CV2025

DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios

Xiangting Meng, Jiaqi Yang, Mingshu Chen +4

In the realm of object pose estimation, scenarios involving both dynamic objects and moving cameras are prevalent. However, the scarcity of corresponding real-world datasets signif…

cs.CV2025

Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers

Ji Zhao, Banglei Guan, Zibin Liu +1

For event cameras, current sparse geometric solvers for egomotion estimation assume that the rotational displacements are known, such as those provided by an IMU. Thus, they can on…