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20232026
most citedAuto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

10 citations · 17 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Look Back to Move Forward: Learning to Revisit for Agentic Compositional Image Generation

Zixu Wang, Xiaoran Zhao, Yahui Liu +8

Text-to-image models have made remarkable progress in visual fidelity and instruction following, yet complex compositional generation remains challenging. Existing agentic approach…

cs.CV2024

LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions

Xiaoran Zhao, Tianhao Wu, Yu Lai +5

Controllable text-to-image generation synthesizes visual text and objects in images with certain conditions, which are frequently applied to emoji and poster generation. Visual tex…

cs.CV2024

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features

Hengyue Pan, Yixin Chen, Zhiliang Tian +3

Convolutional neural network (CNN) has achieved impressive success in computer vision during the past few decades. The image convolution operation helps CNNs to get good performanc…

cs.CV2023★ 10 cited

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Zimian Wei, Lujun Li, Peijie Dong +6

The substantial success of Vision Transformer (ViT) in computer vision tasks is largely attributed to the architecture design. This underscores the necessity of efficient architect…

cs.CV2023★ 6 cited

TVT: Training-Free Vision Transformer Search on Tiny Datasets

Zimian Wei, Hengyue Pan, Lujun Li +4

Training-free Vision Transformer (ViT) architecture search is presented to search for a better ViT with zero-cost proxies. While ViTs achieve significant distillation gains from CN…