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20192026
most citedRARTS: An Efficient First-Order Relaxed Architecture Search Method

5 citations · 5 across the 7 of their papers we have counts for

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cs.CV2026

VideoSEMA: a scalable and efficient Mamba-like attention for video understanding

Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4

We present for video understanding (classification) a split space-time attention model, VideoSEMA, consisting of a scalable and efficient Mamba-like attention (SEMA) block in space…

cs.CV2025

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging

Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4

Attention is the critical component of a transformer. Yet the quadratic computational complexity of vanilla full attention in the input size and the inability of its linear attenti…

cs.CV2024

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs

Yunling Zheng, Zeyi Xu, Fanghui Xue +5

We propose and demonstrate an alternating Fourier and image domain filtering approach for feature extraction as an efficient alternative to build a vision backbone without using th…

cs.CV2023

A Proximal Algorithm for Network Slimming

Kevin Bui, Fanghui Xue, Fredrick Park +2

As a popular channel pruning method for convolutional neural networks (CNNs), network slimming (NS) has a three-stage process: (1) it trains a CNN with regularization appl…

cs.CV2022

Searching Intrinsic Dimensions of Vision Transformers

Fanghui Xue, Biao Yang, Yingyong Qi +1

It has been shown by many researchers that transformers perform as well as convolutional neural networks in many computer vision tasks. Meanwhile, the large computational costs of…