32 citations · 82 across the 12 of their papers we have counts for
12 papers
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
Ruojun Xu, Weijie Xi, Xiaodi Wang +2
Training-free diffusion-based methods have achieved remarkable success in style transfer, eliminating the need for extensive training or fine-tuning. However, due to the lack of ta…
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
Ziming Wang, Shumin Han, Xiaodi Wang +3
Small CNN-based models usually require transferring knowledge from a large model before they are deployed in computationally resource-limited edge devices. Masked image modeling (M…
Language-aware Multiple Datasets Detection Pretraining for DETRs
Jing Hao, Song Chen, Xiaodi Wang +1
Pretraining on large-scale datasets can boost the performance of object detectors while the annotated datasets for object detection are hard to scale up due to the high labor cost.…
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…
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…
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
Yunhao Wang, Huixin Sun, Xiaodi Wang +6
Vision Transformer and its variants have demonstrated great potential in various computer vision tasks. But conventional vision transformers often focus on global dependency at a c…