1 code implementation • 1 Apr 2022 • Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun
Extensive experiments on HICO-Det dataset demonstrate that our model discovers potential interactive pairs and enables the recognition of unseen HOIs.
Human-Object Interaction Detection Knowledge Distillation +4
no code implementations • CVPR 2022 • Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji
Current Image captioning (IC) methods predict textual words sequentially based on the input visual information from the visual feature extractor and the partially generated sentence information.
no code implementations • CVPR 2019 • Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David Doermann
The CiFs can be easily incorporated into existing deep convolutional neural networks (DCNNs), which leads to new Circulant Binary Convolutional Networks (CBCNs).
no code implementations • ICCV 2019 • Jiaxin Gu, Junhe Zhao, Xiao-Long Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji
Deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models.
no code implementations • 30 Nov 2018 • Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xian-Bin Cao, Jianzhuang Liu, David Doermann
The advancement of deep convolutional neural networks (DCNNs) has driven significant improvement in the accuracy of recognition systems for many computer vision tasks.
no code implementations • 1 Apr 2018 • Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xian-Bin Cao, Jianzhuang Liu
Compression artifacts reduction (CAR) is a challenging problem in the field of remote sensing.