most citedDeblurring Neural Radiance Fields with Event-driven Bundle Adjustment

9 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

Hansen Feng, Lizhi Wang, Yiqi Huang +3

The rapid advancement of photography has created a growing demand for a practical blind raw image denoising method. Recently, learning-based methods have become mainstream due to t…

cs.CV2025

Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection

Xiao Wang, Yu Jin, Lan Chen +5

Event-based Vision Sensors (EVS) have demonstrated significant advantages over traditional RGB frame-based cameras in low-light conditions, high-speed motion capture, and low laten…

cs.CV2024

MambaEVT: Event Stream based Visual Object Tracking using State Space Model

Xiao Wang, Chao wang, Shiao Wang +4

Event camera-based visual tracking has drawn more and more attention in recent years due to the unique imaging principle and advantages of low energy consumption, high dynamic rang…

cs.CV20249 cited

Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment

Yunshan Qi, Lin Zhu, Yifan Zhao +2

Neural Radiance Fields (NeRF) achieves impressive 3D representation learning and novel view synthesis results with high-quality multi-view images as input. However, motion blur in…

cs.CV20241 cited

Seeing Motion at Nighttime with an Event Camera

Haoyue Liu, Shihan Peng, Lin Zhu +3

We focus on a very challenging task: imaging at nighttime dynamic scenes. Most previous methods rely on the low-light enhancement of a conventional RGB camera. However, they would…