activity
20202025
most citedUnsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera

4 citations · 8 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV20251 cited

Inter-event Interval Microscopy for Event Cameras

Changqing Su, Yanqin Chen, Zihan Lin +5

Event cameras, an innovative bio-inspired sensor, differ from traditional cameras by sensing changes in intensity rather than directly perceiving intensity and recording these vari…

cs.CV2025

Rethinking High-speed Image Reconstruction Framework with Spike Camera

Kang Chen, Yajing Zheng, Tiejun Huang +1

Spike cameras, as innovative neuromorphic devices, generate continuous spike streams to capture high-speed scenes with lower bandwidth and higher dynamic range than traditional RGB…

cs.CV20251 cited

Differential Coding for Training-Free ANN-to-SNN Conversion

Zihan Huang, Wei Fang, Tong Bu +6

Spiking Neural Networks (SNNs) exhibit significant potential due to their low energy consumption. Converting Artificial Neural Networks (ANNs) to SNNs is an efficient way to achiev…

cs.CV2025

Towards High-performance Spiking Transformers from ANN to SNN Conversion

Zihan Huang, Xinyu Shi, Zecheng Hao +4

Spiking neural networks (SNNs) show great potential due to their energy efficiency, fast processing capabilities, and robustness. There are two main approaches to constructing SNNs…

cs.CV2024

USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting

Kang Chen, Jiyuan Zhang, Zecheng Hao +3

Spike cameras, as an innovative neuromorphic camera that captures scenes with the 0-1 bit stream at 40 kHz, are increasingly employed for the 3D reconstruction task via Neural Radi…

cs.CV2024

SpikeMM: Flexi-Magnification of High-Speed Micro-Motions

Baoyue Zhang, Yajing Zheng, Shiyan Chen +4

The amplification of high-speed micro-motions holds significant promise, with applications spanning fault detection in fast-paced industrial environments to refining precision in m…