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20242026
most citedRobust Stable Spiking Neural Networks

2 citations · 4 across the 19 of their papers we have counts for

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Showing 2025Show all

9 papers · 1 filter

cs.CV2025

Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras

Ziyan Liu, Qi Su, Lulu Tang +2

Object detection in autonomous driving suffers from motion blur and saturation under fast motion and extreme lighting. Spike cameras, offer microsecond latency and ultra high dynam…

cs.CV2025

HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking

Yao Deng, Xian Zhong, Wenxuan Liu +3

RGB cameras excel at capturing rich texture details with high spatial resolution, whereas event cameras offer exceptional temporal resolution and a high dynamic range (HDR). Levera…

cs.LG2025

: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

Kang Chen, Zhihao Liu, Tonghe Zhang +11

Vision-Language-Action (VLA) models enable robots to understand and perform complex tasks from multimodal input. Although recent work explores using reinforcement learning (RL) to…

cs.RO2025

SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams

Zhuoheng Gao, Jiyao Zhang, Zhiyong Xie +5

Most robotic grasping systems rely on converting sensor data into explicit 3D point clouds, which is a computational step not found in biological intelligence. This paper explores…

cs.CV2025

SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams

Zhuoheng Gao, Yihao Li, Jiyao Zhang +7

Conventional frame-based cameras often struggle with stereo depth estimation in rapidly changing scenes. In contrast, bio-inspired spike cameras emit asynchronous events at microse…

cs.CV2025

SPKLIP: Aligning Spike Video Streams with Natural Language

Yongchang Gao, Meiling Jin, Zhaofei Yu +2

Spike cameras offer unique sensing capabilities but their sparse, asynchronous output challenges semantic understanding, especially for Spike Video-Language Alignment (Spike-VLA) w…

cs.CV2025

SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos

Wenxuan Liu, Yao Deng, Kang Chen +3

Existing saliency detection methods struggle in real-world scenarios due to motion blur and occlusions. In contrast, spike cameras, with their high temporal resolution, significant…

cs.CV2025

SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams

Hanwen Liang, Xian Zhong, Wenxuan Liu +4

Restoring clear frames from rainy videos presents a significant challenge due to the rapid motion of rain streaks. Traditional frame-based visual sensors, which capture scene conte…

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…