activity
20232026
most citedMotion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

16 citations · 20 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction

Ziyue Zheng, Linli Shi, Bingkun He +2

Existing active reconstruction systems with Gaussian-splatting maps select observations greedily, optimizing a single next-best-view (NBV) at each step and connecting the chosen vi…

cs.CV2026

EVIS: Real-Time Event Camera Simulation with Multimodal Supervision in NVIDIA Isaac Sim

Linli Shi, Ruijun Zhang, Ziyun Wang

Event cameras are increasingly adopted in embodied perception for their microsecond temporal resolution, high dynamic range, and resilience to motion blur. However, training event-…

cs.CV2026

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras

Ruijun Zhang, Hang Su, Kostas Daniilidis +1

Event cameras have recently shown promising capabilities in instantaneous motion estimation due to their robustness to low light and fast motions. However, computing wide-baseline…

cs.CV2024

Continuous-Time Human Motion Field from Events

Ziyun Wang, Ruijun Zhang, Zi-Yan Liu +2

This paper addresses the challenges of estimating a continuous-time human motion field from a stream of events. Existing Human Mesh Recovery (HMR) methods rely predominantly on fra…

cs.RO2024★ 1 cited

EqNIO: Subequivariant Neural Inertial Odometry

Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang +3

Neural networks are seeing rapid adoption in purely inertial odometry, where accelerometer and gyroscope measurements from commodity inertial measurement units (IMU) are used to re…

cs.CV2024★ 16 cited

Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

Friedhelm Hamann, Ziyun Wang, Ioannis Asmanis +3

Current optical flow and point-tracking methods rely heavily on synthetic datasets. Event cameras are novel vision sensors with advantages in challenging visual conditions, but sta…