activity
20162023
most citedExploring Temporal Preservation Networks for Precise Temporal Action Localization

33 citations · 72 across the 11 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV20196 cited

Towards Precise End-to-end Weakly Supervised Object Detection Network

Ke Yang, Dongsheng Li, Yong Dou

It is challenging for weakly supervised object detection network to precisely predict the positions of the objects, since there are no instance-level category annotations. Most exi…

math.OC20192 cited

Heavy-ball Algorithms Always Escape Saddle Points

Tao Sun, Dongsheng Li, Zhe Quan +3

Nonconvex optimization algorithms with random initialization have attracted increasing attention recently. It has been showed that many first-order methods always avoid saddle poin…

cs.CV20193 cited

Visual Confusion Label Tree For Image Classification

Yuntao Liu, Yong Dou, Ruochun Jin +1

Convolution neural network models are widely used in image classification tasks. However, the running time of such models is so long that it is not the conforming to the strict rea…

cs.CV201920 cited

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…

cs.CV2019

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…

cs.CV20197 cited

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…