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20152026
most citedIntriguing Properties of Vision Transformers

305 citations · 813 across the 36 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

MAGVIT: Masked Generative Video Transformer

Lijun Yu, Yong Cheng, Kihyuk Sohn +8

We introduce the MAsked Generative VIdeo Transformer, MAGVIT, to tackle various video synthesis tasks with a single model. We introduce a 3D tokenizer to quantize a video into spat…

cs.CV2022★ 1 cited

FlowNAS: Neural Architecture Search for Optical Flow Estimation

Zhiwei Lin, Tingting Liang, Taihong Xiao +3

Existing optical flow estimators usually employ the network architectures typically designed for image classification as the encoder to extract per-pixel features. However, due to…

cs.CV2022★ 2 cited

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features

Chieh Hubert Lin, Hsin-Ying Lee, Hung-Yu Tseng +2

Recent studies show that paddings in convolutional neural networks encode absolute position information which can negatively affect the model performance for certain tasks. However…

cs.CV2022★ 3 cited

Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing

Hsin-Ping Huang, Deqing Sun, Yaojie Liu +5

While recent face anti-spoofing methods perform well under the intra-domain setups, an effective approach needs to account for much larger appearance variations of images acquired…

cs.CV2022★ 10 cited

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer

Runsheng Xu, Hao Xiang, Zhengzhong Tu +3

In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present a robust coopera…