activity
20162022
most citedPP-YOLO: An Effective and Efficient Implementation of Object Detector

234 citations · 871 across the 51 of their papers we have counts for

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74 papers · 1 filter

cs.CV2022

Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers

Yasheng Sun, Hang Zhou, Kaisiyuan Wang +7

Previous studies have explored generating accurately lip-synced talking faces for arbitrary targets given audio conditions. However, most of them deform or generate the whole facia…

cs.CV20221 cited

Cyclically Disentangled Feature Translation for Face Anti-spoofing

Haixiao Yue, Keyao Wang, Guosheng Zhang +4

Current domain adaptation methods for face anti-spoofing leverage labeled source domain data and unlabeled target domain data to obtain a promising generalizable decision boundary.…

cs.CV20228 cited

CAE v2: Context Autoencoder with CLIP Target

Xinyu Zhang, Jiahui Chen, Junkun Yuan +10

Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been pr…

cs.CV202219 cited

Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining

Qiang Chen, Jian Wang, Chuchu Han +12

We present a strong object detector with encoder-decoder pretraining and finetuning. Our method, called Group DETR v2, is built upon a vision transformer encoder ViT-Huge~\cite{dos…

cs.CV202220 cited

U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction

Jian Wang, Xiang Long, Guowei Chen +3

High resolution and advanced semantic representation are both vital for dense prediction. Empirically, low-resolution feature maps often achieve stronger semantic representation, a…

cs.CV202276 cited

RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer

Jian Wang, Chenhui Gou, Qiman Wu +4

Recently, transformer-based networks have shown impressive results in semantic segmentation. Yet for real-time semantic segmentation, pure CNN-based approaches still dominate in th…