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20232026
most citedState Space Model for New-Generation Network Alternative to Transformers: A Survey

19 citations · 28 across the 21 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition

Lan Chen, Haoxiang Yang, Pengpeng Shao +5

Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by t…

cs.CV2024

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset

Xiao Wang, Yu Jin, Wentao Wu +4

Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid mov…

cs.CV2024★ 2 cited

Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms

Xiao Wang, Shiao Wang, Pengpeng Shao +3

Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for invest…

cs.CV2024

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition

Lan Chen, Dong Li, Xiao Wang +5

Existing event stream-based pattern recognition models usually represent the event stream as the point cloud, voxel, image, etc., and design various deep neural networks to learn t…

cs.CV2024★ 2 cited

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition

Xiao Wang, Qian Zhu, Jiandong Jin +5

Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as he…

cs.LG2024★ 19 cited

State Space Model for New-Generation Network Alternative to Transformers: A Survey

Xiao Wang, Shiao Wang, Yuhe Ding +13

In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks. However, the enorm…

cs.CV2024★ 2 cited

CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras

Yabin Zhu, Xiao Wang, Chenglong Li +5

Existing datasets for RGB-DVS tracking are collected with DVS346 camera and their resolution () is low for practical applications. Actually, only visible cameras ar…