activity
20222024
most citedAuto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

6 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers

Zhengang Li, Alec Lu, Yanyue Xie +9

Vision transformers (ViTs) have demonstrated their superior accuracy for computer vision tasks compared to convolutional neural networks (CNNs). However, ViT models are often compu…

cs.CV2023

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Xuan Shen, Yaohua Wang, Ming Lin +4

The rapid advances in Vision Transformer (ViT) refresh the state-of-the-art performances in various vision tasks, overshadowing the conventional CNN-based models. This ignites a fe…

cs.CV2022

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training

Zhenglun Kong, Haoyu Ma, Geng Yuan +12

Vision transformers (ViTs) have recently obtained success in many applications, but their intensive computation and heavy memory usage at both training and inference time limit the…

cs.CV2022★ 2 cited

Data Level Lottery Ticket Hypothesis for Vision Transformers

Xuan Shen, Zhenglun Kong, Minghai Qin +6

The conventional lottery ticket hypothesis (LTH) claims that there exists a sparse subnetwork within a dense neural network and a proper random initialization method called the win…

cs.CV2022★ 6 cited

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Zhengang Li, Mengshu Sun, Alec Lu +9

Vision transformers (ViTs) are emerging with significantly improved accuracy in computer vision tasks. However, their complex architecture and enormous computation/storage demand i…

cs.CV2022★ 2 cited

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution

Yushu Wu, Yifan Gong, Pu Zhao +7

Deep learning-based super-resolution (SR) has gained tremendous popularity in recent years because of its high image quality performance and wide application scenarios. However, pr…

cs.CV2022

Real-Time Portrait Stylization on the Edge

Yanyu Li, Xuan Shen, Geng Yuan +5

In this work we demonstrate real-time portrait stylization, specifically, translating self-portrait into cartoon or anime style on mobile devices. We propose a latency-driven diffe…