activity
20202026
most citedGoing Deeper With Directly-Trained Larger Spiking Neural Networks

11 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NE2026

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA

Yancheng Zhou, Hanle Zheng, Lei Deng +1

Hybrid neural networks (HNNs) that integrate artificial neural networks (ANNs) with brain-inspired neural networks have achieved broad success across perception and control tasks.…

cs.CV2025

ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking

Siying Liu, Zikai Wang, Hanle Zheng +6

RGB-Event tracking has become a promising trend in visual object tracking to leverage the complementary strengths of both RGB images and dynamic spike events for improved performan…

cs.CV2025

EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation

Hanle Zheng, Xujie Han, Zegang Peng +7

Video Frame Interpolation (VFI) is a fundamental yet challenging task in computer vision, particularly under conditions involving large motion, occlusion, and lighting variation. R…

cs.NE2024★ 4 cited

Understanding the Functional Roles of Modelling Components in Spiking Neural Networks

Huifeng Yin, Hanle Zheng, Jiayi Mao +6

Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is…

cs.NE2020★ 11 cited

Going Deeper With Directly-Trained Larger Spiking Neural Networks

Hanle Zheng, Yujie Wu, Lei Deng +2

Spiking neural networks (SNNs) are promising in a bio-plausible coding for spatio-temporal information and event-driven signal processing, which is very suited for energy-efficient…