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20162025
most citedOptimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

88 citations · 178 across the 13 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV20244 cited

MLVU: Benchmarking Multi-task Long Video Understanding

Junjie Zhou, Yan Shu, Bo Zhao +9

The evaluation of Long Video Understanding (LVU) performance poses an important but challenging research problem. Despite previous efforts, the existing video understanding benchma…

cs.CV2022

Uncertainty Guided Depth Fusion for Spike Camera

Jianing Li, Jiaming Liu, Xiaobao Wei +6

Depth estimation is essential for various important real-world applications such as autonomous driving. However, it suffers from severe performance degradation in high-velocity sce…

cs.CV2022

Temporal Up-Sampling for Asynchronous Events

Xijie Xiang, Lin Zhu, Jianing Li +2

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid eve…

cs.CV20226 cited

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network

Lin Zhu, Xiao Wang, Yi Chang +3

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports asynchronous, continuously per-pixel brightness changes called `events' with high temporal resolution…

cs.CV20164 cited

Joint Network based Attention for Action Recognition

Yemin Shi, Yonghong Tian, Yaowei Wang +1

By extracting spatial and temporal characteristics in one network, the two-stream ConvNets can achieve the state-of-the-art performance in action recognition. However, such a frame…

cs.CV20165 cited

Learning long-term dependencies for action recognition with a biologically-inspired deep network

Yemin Shi, Yonghong Tian, Yaowei Wang +1

Despite a lot of research efforts devoted in recent years, how to efficiently learn long-term dependencies from sequences still remains a pretty challenging task. As one of the key…