Search Results for author: Zilin Gao

Found 4 papers, 4 papers with code

Temporal-attentive Covariance Pooling Networks for Video Recognition

1 code implementation NeurIPS 2021 Zilin Gao, Qilong Wang, Bingbing Zhang, QinGhua Hu, Peihua Li

Then, a temporal covariance pooling performs temporal pooling of the attentive covariance representations to characterize both intra-frame correlations and inter-frame cross-correlations of the calibrated features.

Video Recognition

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks

1 code implementation NeurIPS 2018 Qilong Wang, Zilin Gao, Jiangtao Xie, WangMeng Zuo, Peihua Li

However, both GAP and existing HOP methods assume unimodal distributions, which cannot fully capture statistics of convolutional activations, limiting representation ability of deep CNNs, especially for samples with complex contents.

Global Second-order Pooling Convolutional Networks

1 code implementation CVPR 2019 Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li

Deep Convolutional Networks (ConvNets) are fundamental to, besides large-scale visual recognition, a lot of vision tasks.

Object Recognition

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