108 citations · 135 across the 5 of their papers we have counts for
5 papers
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Mst. Tasnim Pervin, Linmi Tao, Aminul Huq +2
Segmentation is considered to be a very crucial task in medical image analysis. This task has been easier since deep learning models have taken over with its high performing behavi…
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
Li Tao, Xueting Wang, Toshihiko Yamasaki
We propose a self-supervised method to learn feature representations from videos. A standard approach in traditional self-supervised methods uses positive-negative data pairs to tr…
Motion Representation Using Residual Frames with 3D CNN
Li Tao, Xueting Wang, Toshihiko Yamasaki
Recently, 3D convolutional networks (3D ConvNets) yield good performance in action recognition. However, optical flow stream is still needed to ensure better performance, the cost…
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning
Yiyan Chen, Li Tao, Xueting Wang +1
Conventional video summarization approaches based on reinforcement learning have the problem that the reward can only be received after the whole summary is generated. Such kind of…
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Li Tao, Xueting Wang, Toshihiko Yamasaki
Recently, 3D convolutional networks yield good performance in action recognition. However, optical flow stream is still needed to ensure better performance, the cost of which is ve…