284 citations · 637 across the 43 of their papers we have counts for
6 papers · 1 filter
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie +1
Neuron pruning is an efficient method to compress the network into a slimmer one for reducing the computational cost and storage overhead. Most of state-of-the-art results are obta…
Learning Incremental Triplet Margin for Person Re-identification
Yingying Zhang, Qiaoyong Zhong, Liang Ma +2
Person re-identification (ReID) aims to match people across multiple non-overlapping video cameras deployed at different locations. To address this challenging problem, many metric…
Extreme Network Compression via Filter Group Approximation
Bo Peng, Wenming Tan, Zheyang Li +3
In this paper we propose a novel decomposition method based on filter group approximation, which can significantly reduce the redundancy of deep convolutional neural networks (CNNs…
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation
Tao Song, Leiyu Sun, Di Xie +2
A critical issue in pedestrian detection is to detect small-scale objects that will introduce feeble contrast and motion blur in images and videos, which in our opinion should part…
A practical convolutional neural network as loop filter for intra frame
Xiaodan Song, Jiabao Yao, Lulu Zhou +4
Loop filters are used in video coding to remove artifacts or improve performance. Recent advances in deploying convolutional neural network (CNN) to replace traditional loop filter…
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
Chao Li, Qiaoyong Zhong, Di Xie +1
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most crucial factors for this task lie…