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

19 citations · 36 across the 26 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion

Shiao Wang, Yifeng Wang, Qingchuan Ma +5

Q-distribution prediction is a crucial research direction in controlled nuclear fusion, with deep learning emerging as a key approach to solving prediction challenges. In this pape…

cs.CV2024★ 2 cited

CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset

Xiao Wang, Fuling Wang, Yuehang Li +5

X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence which can significantly reduce diagnostic burdens and patient wait times. Despite sig…

cs.CV2024

An Empirical Study of Mamba-based Pedestrian Attribute Recognition

Xiao Wang, Weizhe Kong, Jiandong Jin +5

Current strong pedestrian attribute recognition models are developed based on Transformer networks, which are computationally heavy. Recently proposed models with linear complexity…

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…

eess.IV2024

Pre-training on High Definition X-ray Images: An Experimental Study

Xiao Wang, Yuehang Li, Wentao Wu +5

Existing X-ray based pre-trained vision models are usually conducted on a relatively small-scale dataset (less than 500k samples) with limited resolution (e.g., 224 224).…

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…

cs.CV2024

Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition

Haoxiang Yang, Chengguo Yuan, Yabin Zhu +3

The mainstream human activity recognition (HAR) algorithms are developed based on RGB cameras, which are easily influenced by low-quality images (e.g., low illumination, motion blu…