33 citations · 60 across the 6 of their papers we have counts for
6 papers
Visual Tree Convolutional Neural Network in Image Classification
Yuntao Liu, Yong Dou, Ruochun Jin +1
In image classification, Convolutional Neural Network(CNN) models have achieved high performance with the rapid development in deep learning. However, some categories in the image…
Exploring Frame Segmentation Networks for Temporal Action Localization
Ke Yang, Xiaolong Shen, Peng Qiao +3
Temporal action localization is an important task of computer vision. Though many methods have been proposed, it still remains an open question how to predict the temporal location…
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Ke Yang, Peng Qiao, Dongsheng Li +1
Effective spatiotemporal feature representation is crucial to the video-based action recognition task. Focusing on discriminate spatiotemporal feature learning, we propose Informat…
Learning Generic Diffusion Processes for Image Restoration
Peng Qiao, Yong Dou, Yunjin Chen +1
Image restoration problems are typical ill-posed problems where the regularization term plays an important role. The regularization term learned via generative approaches is easy t…
Exploring Temporal Preservation Networks for Precise Temporal Action Localization
Ke Yang, Peng Qiao, Dongsheng Li +2
Temporal action localization is an important task of computer vision. Though a variety of methods have been proposed, it still remains an open question how to predict the temporal…
Learning Non-local Image Diffusion for Image Denoising
Peng Qiao, Yong Dou, Wensen Feng +1
Image diffusion plays a fundamental role for the task of image denoising. Recently proposed trainable nonlinear reaction diffusion (TNRD) model defines a simple but very effective…