78 citations · 110 across the 5 of their papers we have counts for
8 papers
SwiftNet: Real-time Video Object Segmentation
Haochen Wang, Xiaolong Jiang, Haibing Ren +2
In this work we present SwiftNet for real-time semisupervised video object segmentation (one-shot VOS), which reports 77.8% J &F and 70 FPS on DAVIS 2017 validation dataset, leadin…
Horizontal-to-Vertical Video Conversion
Tun Zhu, Daoxin Zhang, Yao Hu +4
Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we he…
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu, Xiaolong Jiang, Xuhui Liu +4
Most of the recent advances in crowd counting have evolved from hand-designed density estimation networks, where multi-scale features are leveraged to address the scale variation p…
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu, Junhe Zhao, Xiaolong Jiang +4
Deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models. However, it is still a great cha…
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Xiaolong Jiang, Peizhao Li, Yanjing Li +1
In this work, we present an end-to-end framework to settle data association in online Multiple-Object Tracking (MOT). Given detection responses, we formulate the frame-by-frame dat…
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang, Zehao Xiao, Baochang Zhang +4
Crowd counting has recently attracted increasing interest in computer vision but remains a challenging problem. In this paper, we propose a trellis encoder-decoder network (TEDnet)…