Guo-Jun Qi
Overview
Explore the profile of Guo-Jun Qi including associated specialties, affiliations and a list of published articles.
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Articles
34
Citations
108
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Recent Articles
11.
Geng T, Zheng F, Hou X, Lu K, Qi G, Shao L
IEEE Trans Image Process
. 2022 Aug;
31:5484-5497.
PMID: 35943998
Spatial-temporal relation reasoning is a significant yet challenging problem for video action recognition. Previous works typically apply local operations like 2D or 3D CNNs to conduct space-time interactions in video...
12.
Qi G, Ma J, Wan J, Ren Y, McKirdy S, Hu G, et al.
Insects
. 2021 Dec;
12(12).
PMID: 34940192
Fall armyworm is recognized as one of most highly destructive global agricultural pests. In January 2020, it had first invaded Australia, posing a significant risk to its biosecurity, food security,...
13.
Wu M, Qi G, Chen H, Ma J, Liu J, Jiang Y, et al.
Insect Sci
. 2021 May;
29(2):505-520.
PMID: 34050604
The fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith), spread rapidly in Africa and Asia recently, causing huge economic losses in crop production. Fall armyworm caterpillars were first detected in South...
14.
Xu H, Xiong H, Qi G
IEEE Trans Pattern Anal Mach Intell
. 2021 May;
44(11):8694-8700.
PMID: 34018928
In this paper, we propose the K-Shot Contrastive Learning (KSCL) of visual features by applying multiple augmentations to investigate the sample variations within individual instances. It aims to combine the...
15.
Xu Y, Xie L, Dai W, Zhang X, Chen X, Qi G, et al.
IEEE Trans Pattern Anal Mach Intell
. 2021 Feb;
43(9):2953-2970.
PMID: 33591909
Differentiable architecture search (DARTS) enables effective neural architecture search (NAS) using gradient descent, but suffers from high memory and computational costs. In this paper, we propose a novel approach, namely...
16.
Liu Y, Zhou W, Liu J, Qi G, Tian Q, Li H
IEEE Trans Image Process
. 2021 Jan;
30:2060-2071.
PMID: 33460378
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted from a rectangular...
17.
Shu X, Zhang L, Qi G, Liu W, Tang J
IEEE Trans Pattern Anal Mach Intell
. 2021 Jan;
44(6):3300-3315.
PMID: 33434123
Human motion prediction aims to generate future motions based on the observed human motions. Witnessing the success of Recurrent Neural Networks (RNN) in modeling sequential data, recent works utilize RNNs...
18.
Wang X, Kihara D, Luo J, Qi G
IEEE Trans Image Process
. 2020 Dec;
30:1639-1647.
PMID: 33347409
Deep neural networks have been successfully applied to many real-world applications. However, such successes rely heavily on large amounts of labeled data that is expensive to obtain. Recently, many methods...
19.
Qi G, Luo J
IEEE Trans Pattern Anal Mach Intell
. 2020 Oct;
44(4):2168-2187.
PMID: 33074801
Representation learning with small labeled data have emerged in many problems, since the success of deep neural networks often relies on the availability of a huge amount of labeled data...
20.
Qi G, Zhang L, Lin F, Wang X
IEEE Trans Pattern Anal Mach Intell
. 2020 Oct;
44(4):2045-2057.
PMID: 33035159
Transformation equivariant representations (TERs) aim to capture the intrinsic visual structures that equivary to various transformations by expanding the notion of translation equivariance underlying the success of convolutional neural networks...