13 citations · 20 across the 12 of their papers we have counts for
9 papers · 1 filter
DIMOS: Disentangling Instance-level Moving Object Segmentation
Hongxiang Huang, Hongwei Ren, Xiaopeng Lin +3
Moving instance segmentation (MIS) attracts increasing attention due to its broad applications in traffic surveillance, autonomous driving, and animal tracking. Event cameras recor…
SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop
Friedhelm Hamann, Emil Mededovic, Fabian Gülhan +21
We present an overview of the Spatio-temporal Instance Segmentation (SIS) challenge held in conjunction with the CVPR 2025 Event-based Vision Workshop. The task is to predict accur…
ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring
Xiaopeng Lin, Yulong Huang, Hongwei Ren +4
Motion deblurring addresses the challenge of image blur caused by camera or scene movement. Event cameras provide motion information that is encoded in the asynchronous event strea…
Event-based Motion Deblurring via Multi-Temporal Granularity Fusion
Xiaopeng Lin, Hongwei Ren, Yulong Huang +5
Conventional frame-based cameras inevitably produce blurry effects due to motion occurring during the exposure time. Event camera, a bio-inspired sensor offering continuous visual…
Scalable Event Cloud Network for Event-based Classification
Hongwei Ren, Fei Ma, Xiaopeng Lin +9
Event cameras are biologically inspired sensors garnering significant attention from both industry and academia. Mainstream methods favor frame and voxel representations, which rea…
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
Hongwei Ren, Yue Zhou, Jiadong Zhu +7
Event cameras draw inspiration from biological systems, boasting low latency and high dynamic range while consuming minimal power. The most current approach to processing Event Clo…
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
Hongwei Ren, Jiadong Zhu, Yue Zhou +3
Event cameras exhibit remarkable attributes such as high dynamic range, asynchronicity, and low latency, making them highly suitable for vision tasks that involve high-speed motion…
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Hongwei Ren, Yue Zhou, Yulong Huang +4
Event cameras are bio-inspired sensors that respond to local changes in light intensity and feature low latency, high energy efficiency, and high dynamic range. Meanwhile, Spiking…
TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras
Hongwei Ren, Yue Zhou, Haotian Fu +3
Event cameras have gained popularity in computer vision due to their data sparsity, high dynamic range, and low latency. As a bio-inspired sensor, event cameras generate sparse and…